⋡䇭ᰴ
Ꮞ㗡⸒

1

䊃䊏䉾䉪䉴

3

䇸㪫㪉㪩㪉㩷㩿㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㩷㪩㪼㫊㪼㪸㫉㪺㪿㩷㪩㪼㫇㫆㫊㫀㫋㫆㫉㫐㪀㩷䉲䉴䊁䊛䈱ዷ㐿䇹䇸㪫㪪㪬㪙㪘㪤㪜਄䈱਎⇇ᦨᄢⷙᮨ䈱㪞㪧㪬䉮䊮䊏䊠䊷䊁䉞䊮䉫ၮ⋚䈱ታ⃻䇹䇸䊒䊨䉫䊤䊚䊮䉫䉮䊮䊁䉴䊃㪪㫌㫇㪼㫉㪚㫆㫅䈱ᵴേ䈮䈧䈇䈩ᐔᚑ㪉㪇ᐕᐲᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨㩷㩿ℂ⸃Ⴧㅴㇱ㐷㪀䉕ฃ⾨䇹

3
8
15

䋱㪅䇭⚵❱䊶ㆇ༡18

㪈㪄㪈㩷⚵❱࿑18

㪈㪄㪉㩷ᢎຬ╬᭴ᚑ㪈㪄㪊㩷੐ോ⚵❱19㪈㪄㪋㩷ฦ⒳ᆔຬળ䊜䊮䊋䊷৻ⷩ21㪈㪄㪌㩷ㆇ༡ᆔຬળ㐿௅⁁ᴫ㪈㪄㪍㩷ੱ੐⇣േ

23䋲㪅䇭ᖱႎၮ⋚䉰䊷䊎䉴㪉㪄㪈㩷⎇ⓥ↪⸘▚ᯏ䉲䉴䊁䊛

20

26
28
28

㪉㪄㪈㪄㪈㩷᭴䇭ᚑ

28㪉㪄㪈㪄㪉㩷ㆇ䇭↪
㪉㪄㪈㪄㪊㩷ታ䇭❣

31㪉㪄㪉㩷ᢎ⢒↪⸘▚ᯏ䉲䉴䊁䊛

31
34㪉㪄㪉㪄㪈㩷᭴䇭ᚑ㪉㪄㪉㪄㪉㩷ㆇ䇭↪

34㪉㪄㪉㪄㪊㩷ታ䇭❣
㪉㪄㪊㩷䊈䉾䊃䊪䊷䉪䉲䉴䊁䊛36㪉㪄㪊㪄㪈㩷᭴䇭ᚑ㪉㪄㪊㪄㪉㩷ㆇ↪䉰䊷䊎䉴㪉㪄㪋㩷䉨䊞䊮䊌䉴౒ㅢ⹺⸽䊶⹺น䉲䉴䊁䊛㪉㪄㪋㪄㪈㩷᭴䇭ᚑ㪉㪄㪋㪄㪉㩷ㆇ䇭↪
㪉㪄㪋㪄㪊㩷ታ䇭❣
㪉㪄㪌㩷䉸䊐䊃䉡䉢䉝൮᜝ᄾ⚂㪉㪄㪌㪄㪈㩷᭎䇭ⷐ㪉㪄㪌㪄㪉㩷ㆇ䇭↪
㪉㪄㪌㪄㪊㩷ታ䇭❣
㪉㪄㪍㩷వ┵⎇ⓥᣉ⸳౒↪䉟䊉䊔䊷䉲䊢䊮ഃ಴੐ᬺ䇼↥ᬺᚢ⇛೑↪䇽㪉㪄㪍㪄㪈㩷੐ᬺ᭎ⷐ㪉㪄㪍㪄㪉㩷੐ᬺታᣉ䈫ᚑᨐ

37㪉㪄㪎㩷᭴ᚑ䊶᭎ⷐ䊶ㆇ↪䊶ታ❣╬䈱ᄖㇱ⊒⴫

53

35
37
38
41
41
41
42
44
44
44
45
47
47
49

䋳㪅䇭ᖱႎၮ⋚ផㅴᵴേ54

㪊㪄㪈㩷ᧄᐕᐲ䈱䉴䊌䉮䊮㪫㪪㪬㪙㪘㪤㪜䈱ㅴൻ㪊㪄㪉㩷ㅅᖺ䊜䊷䊦ኻ╷54

㪊㪄㪊㩷ᖱႎ⫾Ⓧᵴ↪ᵴേ74

73

㪊㪄㪊㪄㪈㩷᭎ⷐ㪊㪄㪊㪄㪉㩷㪫㪉㪩㪉䉲䉴䊁䊛䈱․ᓽ

74㪊㪄㪊㪄㪊㩷㪫㪉㪩㪉䉲䉴䊁䊛ᐔᚑ㪉㪇ᐕᐲ㐿⊒㗄⋡77㪊㪄㪊㪄㪋㩷㪫㪉㪩㪉䉲䉴䊁䊛䈱೑↪⁁ᴫ

78㪊㪄㪊㪄㪌㩷㪫㪉㪩㪉䉲䉴䊁䊛䈱੹ᓟ䈱ᣇ㊎79䋴㪅䇭࿖㓙ද௛
㪋㪄㪈㩷㪫㪪㪬㪙㪘㪤㪜䉕೑↪䈜䉎࿖㓙౒ห⎇ⓥଦㅴ䊐䉤䊷䊤䊛㪋㪄㪉㩷࿖㓙౒ห⎇ⓥ
㪋㪄㪉㪄㪈㩷㪘㪠㪫㩿㪘㫊㫀㪸㫅㩷㪠㫅㫊㫋㫀㫋㫌㫋㪼㩷㫆㪽㩷㫋㪼㪺㪿㫅㫆㫃㫆㪾㫐㪀㩷䈫䈱࿖㓙੤ᵹදቯ䈮ၮ䈨䈒౒ห⎇ⓥ
㪋㪄㪉㪄㪉㩷࿖㓙ᯏ㑐㪬㪥㪜㪪㪚㪦䈍䉋䈶䊤䉥䉴᡽ᐭ䈫䈱౒ห⎇ⓥ
㪋㪄㪉㪄㪊㩷䉺䉟࿖䉼䊠䊤䊨䊮䉮䊮ᄢቇ䈫䈱࿖㓙౒ห⎇ⓥ

75

80
80
81
81
81
82

㪋㪄㪊㩷࿖㓙౒ห⎇ⓥ䊪䊷䉪䉲䊢䉾䊒83㪋㪄㪊㪄㪈㩷࿖㓙ᯏ㑐㪬㪥㪜㪪㪚㪦䇮䊝䊮䉯䊦ᢎ⢒⑼ቇᛛⴚ⋭䈫䈱౒ห䊪䊷䉪䉲䊢䉾䊒㪋㪄㪋㩷ᶏᄖ᜚ὐ䉕ᵴ↪䈚䈢࿖㓙੤ᵹᵴേ

83
83㪋㪄㪋㪄㪈㩷ℂᢙቇ↢ᔕេ䊒䊨䉳䉢䉪䊃䈮䉋䉎䉺䉟⸰໧83㪋㪄㪋㪄㪉㩷㪉㪇㪇㪏ᐕ䉺䉟䊶ᣣ࿖㓙ቇⴚ੤ᵹળ⼏䈱ᡰេ㪋㪄㪋㪄㪊㩷䉺䉟ᦨᄢ὇㋶䈱⃻႐⺞ᩏ

84䋵㪅䇭䉟䊔䊮䊃෸䈶໪⫥ᵴേ

8485㪌㪄㪈㩷ቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷ਥ௅䉶䊚䊅䊷㪞㪪㪠㪚䉶䊚䊅䊷㪉㪇㪇㪏䇭㪥㫆㪅㪇㪈䇸䉨䊞䊮䊌䉴䌉䌃䌔⛔วⅣႺ䈱⹜䉂䋭㪧㪢㪠䊶㪠㪚䉦䊷䊄䈫䉸䊐䊃䉡䉢䉝൮᜝ᄾ⚂䋭䇹㪌㪄㪉㩷ቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷ਥ௅䉲䊮䊘䉳䉡䊛䇸వ┵⎇ⓥᣉ⸳౒↪䉟䊉䊔䊷䉲䊢䊮ഃ಴੐ᬺ䇼↥ᬺᚢ⇛೑↪䇽䇺䉂䉖䈭䈱䉴䊌䉮䊮䇻㪫㪪㪬㪙㪘㪤㪜䈮䉋䉎䊕䉺䉴䉬䊷䊦䈻䈱㘧⠍䉲䊮䊘䉳䉡䊛䇹㪌㪄㪊㩷ቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷ਥ௅࿖㓙䉲䊮䊘䉳䉡䊛╙㪌࿁㪞㪪㪠㪚࿖㓙䉲䊮䊘䉳䉡䊛䇸㪣㪼㪸㪻㫀㫅㪾㩷㪪㫋㫌㪻㫀㪼㫊㩷㫆㫅㩷㪚㫆㫄㫇㫌㫋㪸㫋㫀㫆㫅㪸㫃㩷㪤㪼㪺㪿㪸㫅㫀㪺㫊䇹85㪌㪄㪋㩷䉴䊷䊌䊷䉮䊮䊏䊠䊷䊁䉞䊮䉫䉮䊮䊁䉴䊃92㪌㪄㪌㩷⻠⠌ળ93䋶㪅䇭ᐢႎᵴേ㪍㪄㪈 㩷䊙䉴䉮䊚ႎ㆏╬㪍㪄㪈㪄㪈㩷䉥䊮䊤䉟䊮䊜䊂䉞䉝㪍㪄㪈㪄㪉㩷ᣂ⡞㪍㪄㪈㪄㪊㩷䊁䊧䊎㪍㪄㪉㩷⷗ቇ⠪ฃ౉⁁ᴫ

87

91

95
95
95
96
96
97

䋷㪅䇭੍▚ၫⴕ⁁ᴫ

100

䋸㪅䇭⎇ⓥᵴേႎ๔

101㪏㪄㪈㩷ᖱႎၮ⋚ㇱ㐷

101

દ᧲೑຦
ᮮ↰ᴦᄦ

101

㘵↰ൎศ
෹⍹ᱜᒾ

107

ᷰㄝ㓁੺
⋥੗䇭⡡

110

㐷ᨋ㓶ၮ

114

⋉੗⾫ᰴ
㪏㪄㪉㩷⎇ⓥ䊶ᢎ⢒ၮ⋚ㇱ㐷

103
109
112
115
117

᧻ጟ䇭⡡
㚍⿧ᐾᕶ

117

ᦸ᦬␭ᵗ

135

㗵↰䇭ᓆ

136

ਣጊ⋥਽
ኪᧄ⧷ਯ

138

㪏㪄㪊㩷ቇⴚ࿖㓙੤ᵹㇱ㐷
㕍ᧁዅਯ
ጊญ䈚䈱䈹
䊏䊌䉾䊃䊘䊮䉰䊷䇭䊁䉞䊤䊘䊮⷏Ꮉᱞᔒ㪏㪄㪋 㩷ฃ⾨ቇⴚ⾨╬䋹㪅䇭ᬺോ⽸₂

134

141
142
142
146
149
152
154
155

㪐㪄㪈㩷ኾ㐷ᆔຬળᚲዻ䊶㐿௅⁁ᴫ㪐㪄㪉㩷ቇౝᬺോ㑐ㅪᆔຬ╬ዞછ⁁ᴫ

155㪐㪄㪊㩷⺞ᩏ䊶ᐢႎᵴേ䋨⷗ቇ䊶᧪⾠䊶ᑼౖኻᔕ⁁ᴫ䋩

156

㪐㪄㪋㩷⻠Ṷળ䊶䉶䊚䊅䊷䊶䉲䊮䊘䉳䉡䊛╬ડ↹䊶ታᣉ⁁ᴫ㪐㪄㪌㩷઀᭽╷ቯ䊶ᛛⴚክᩏኻᔕ⁁ᴫ㪐㪄㪍㩷࿖㓙౒ห⎇ⓥ䉮䊷䊂䉞䊈䊷䊃䊶䊙䉾䉼䊮䉫⁁ᴫ㪐㪄㪎㩷ᬺോ㑐ㅪ಴ᒛ⁁ᴫ

158

156

159
159
159

Ꮞ㗡⸒
Ꮞ㗡⸒

ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯㐳 ᷰㄝ ᴦቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯㐳 ᷰㄝ ᴦ ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߪ‫᧲ޔ‬੩Ꮏᬺᄢቇߦ߅ߌࠆᖱႎၮ⋚ߣᖱႎ⑼ቇᛛⴚ⎇ⓥၮ⋚ߩల ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߪ‫᧲ޔ‬੩Ꮏᬺᄢቇߦ߅ߌࠆᖱႎၮ⋚ߣᖱႎ⑼ቇᛛⴚ⎇ⓥၮ⋚ߩలታ‫ߡߒߘޔ‬ᖱႎ⑼ቇᛛⴚࠍᵴ↪ߒߚ࿖㓙੤ᵹߩଦㅴࠍ⋡⊛ߣߒߡᵴേࠍⴕߞߡ߅ࠅ߹ߔ‫ޕ‬ታ‫ߡߒߘޔ‬ᖱႎ⑼ቇᛛⴚࠍᵴ↪ߒߚ࿖㓙੤ᵹߩଦㅴࠍ⋡⊛ߣߒߡᵴേࠍⴕߞߡ߅ࠅ߹ߔ‫ޕ‬
ᐔᚑ 20 ᐕᐲ߽‫ߩߎޔ‬ᐕႎߢႎ๔޿ߚߒ߹ߔࠃ߁ߦ᭽‫ߥޘ‬੐ᬺࠍⴕߞߡෳࠅ߹ߒߚ‫ޕ‬ᄢ߈ ᐔᚑ 20 ᐕᐲ߽‫ߩߎޔ‬ᐕႎߢႎ๔޿ߚߒ߹ߔࠃ߁ߦ᭽‫ߥޘ‬੐ᬺࠍⴕߞߡෳࠅ߹ߒߚ‫ޕ‬ᄢ߈ߥᚑᨐ߽޽ࠅ߹ߒߚߒ‫ޔ‬࿾㆏ߥᵴേ߇⹏ଔߐࠇߚ߽ߩ߽޽ࠅ߹ߔ‫ޔߪ߈ߴߔ╩․ޔߕ߹ޕ‬ߥᚑᨐ߽޽ࠅ߹ߒߚߒ‫ޔ‬࿾㆏ߥᵴേ߇⹏ଔߐࠇߚ߽ߩ߽޽ࠅ߹ߔ‫ޔߪ߈ߴߔ╩․ޔߕ߹ޕ‬18ᐕᐲ߆ࠄㆇ↪ࠍ㐿ᆎߒߚ᧲Ꮏᄢࠠࡖࡦࡄࠬࠬࡄࠦࡦࠣ࡝࠶࠼ TSUBAME ࠪࠬ࠹ࡓ߇
18 ᐕᐲ߆ࠄㆇ↪ࠍ㐿ᆎߒߚ᧲Ꮏᄢࠠࡖࡦࡄࠬࠬࡄࠦࡦࠣ࡝࠶࠼
TSUBAMEࠪࠬ࠹ࡓ߇TSUBAME1.2
ߦㅴൻࠍߣߍߚߎߣߢߔ‫ޕ‬TSUBAME ߪዉ౉ᒰೋ‫ޔ‬Top500
ߦ߅޿ߡ
38.18
TSUBAME1.2 ߦㅴൻࠍߣߍߚߎߣߢߔ‫ޕ‬TSUBAMEߪዉ౉ᒰೋ‫ޔ‬Top500 ߦ߅޿ߡ 38.18
࠹࡜ࡈࡠ࠶ࡊࠬ㧔Ფ⑽38.18 ళ࿁Ṷ▚㧕ߩᕈ⢻ࠍ಴ߒ‫ޔ‬ඨᐕߩᦝᣂߏߣߦᕈ⢻ะ਄ࠍᨐߚ
࠹࡜ࡈࡠ࠶ࡊࠬ㧔Ფ⑽ 38.18 ళ࿁Ṷ▚㧕ߩᕈ⢻ࠍ಴ߒ‫ޔ‬ඨᐕߩᦝᣂߏߣߦᕈ⢻ะ਄ࠍᨐߚ
ߒߡ߈߹ߒߚ‫੹ޕ‬࿁ߪ‫৻߁߽ߦࠄߐޔ‬Ბ㓏਄߳ߩㅴൻࠍ⋡ᜰߒ‫ޔ‬㜞޿ࡔࡕ࡝ࡃࡦ࠼᏷ࠍታ

ߒߡ߈߹ߒߚ‫੹ޕ‬࿁ߪ‫৻߁߽ߦࠄߐޔ‬Ბ㓏਄߳ߩㅴൻࠍ⋡ᜰߒ‫ޔ‬㜞޿ࡔࡕ࡝ࡃࡦ࠼᏷ࠍታ
⃻ߔࠆߚ߼ߦ‫ޔ‬਎⇇ߢೋ߼ߡ᳢↪
GPU ⸘▚ࠕࠢ࠮࡜࡟࡯࠲ߩᄢⷙᮨዉ౉(680 ᨎ)ࠍⴕ޿‫ޔ‬⃻ߔࠆߚ߼ߦ‫ޔ‬਎⇇ߢೋ߼ߡ᳢↪
GPU ⸘▚ࠕࠢ࠮࡜࡟࡯࠲ߩᄢⷙᮨዉ౉(680 ᨎ)ࠍⴕ޿‫ޔ‬
Top500 ߦ߅޿ߡ 77.48 ࠹࡜ࡈࡠ࠶ࡊࠬࠍ಴ߔߎߣߦᚑഞߒ߹ߒߚ‫ޕ‬ታߦዉ౉ᒰೋߩ
2 ୚એ

Top500 ߦ߅޿ߡ 77.48 ࠹࡜ࡈࡠ࠶ࡊࠬࠍ಴ߔߎߣߦᚑഞߒ߹ߒߚ‫ޕ‬ታߦዉ౉ᒰೋߩ
2 ୚એ਄ߩᄢ᏷ߥᕈ⢻ะ਄ߢߔ‫ߩߎޕ‬
TSUBAME1.2 ߪቇౝߩᦨవ┵ߩ⎇ⓥߪ߽ߜࠈࠎߩߎߣ‫ޔ‬਄ߩᄢ᏷ߥᕈ⢻ะ਄ߢߔ‫ ߩߎޕ‬TSUBAME1.2 ߪቇౝߩᦨవ┵ߩ⎇ⓥߪ߽ߜࠈࠎߩߎߣ‫ޔ‬࿖㓙౒ห⎇ⓥ‫ߡߒߘޔ‬ᢥㇱ⑼ቇ⋭ߩ‫ޟ‬వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫ޠ‬‫↥ޣ‬ᬺᚢ
࿖㓙౒ห⎇ⓥ‫ߡߒߘޔ‬ᢥㇱ⑼ቇ⋭ߩ‫ޟ‬వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫↥ޣޠ‬ᬺᚢ⇛೑↪‫↥ࠆࠃߦޤ‬ቇㅪ៤⎇ⓥߥߤ‫⎇ޔ‬ⓥᯏ㑐߿⎇ⓥಽ㊁ࠍ⿧߃ߚᮮᢿ⊛ߥ⎇ⓥ㐿⊒ᵴേߦ⇛೑↪‫↥ࠆࠃߦޤ‬ቇㅪ៤⎇ⓥߥߤ‫⎇ޔ‬ⓥᯏ㑐߿⎇ⓥಽ㊁ࠍ⿧߃ߚᮮᢿ⊛ߥ⎇ⓥ㐿⊒ᵴേߦᵴ↪ߐࠇߡ޿߹ߔ‫ޕ‬ߐࠄߦߪ‫ޔ‬ቇౝߩฦ⒳ᖱႎၮ⋚߳ߩࡎࠬ࠹ࠖࡦࠣࠨ࡯ࡆࠬࠍⴕ߁ߥߤ‫ޔ‬ᵴ↪ߐࠇߡ޿߹ߔ‫ޕ‬ߐࠄߦߪ‫ޔ‬ቇౝߩฦ⒳ᖱႎၮ⋚߳ߩࡎࠬ࠹ࠖࡦࠣࠨ࡯ࡆࠬࠍⴕ߁ߥߤ‫ޔ‬
TSUBAMEߪ੹߿ᧄቇߩᖱႎၮ⋚ߩਛᩭ⊛ሽ࿷ߢ޽ࠅ߹ߔ‫ޕ‬ߪ੹߿ᧄቇߩᖱႎၮ⋚ߩਛᩭ⊛ሽ࿷ߢ޽ࠅ߹ߔ‫ޕ‬
TSUBAME
ߐߡ৻ᣇߢ‫ޔ‬࿾㆏ߥദജ߇⹏ଔߐࠇࠆߣ޿߁ሜߒ޿࠾ࡘ࡯߽ࠬ޽ࠅ߹ߒߚ‫᧲ޕ‬Ꮏᄢߢߪ‫ޔ‬ ߐߡ৻ᣇߢ‫ޔ‬࿾㆏ߥദജ߇⹏ଔߐࠇࠆߣ޿߁ሜߒ޿࠾ࡘ࡯߽ࠬ޽ࠅ߹ߒߚ‫ޕ‬᧲Ꮏᄢߢߪ‫ޔ‬ో࿖ߩᄢቇߦవ㚟ߌߡ‫ޔ‬17ᐕᐲ߆ࠄ IC ࠞ࡯࠼⹺⸽㧔PKI ⹺⸽㧕ߦၮߠߊ ICT⛔วⅣႺࠍో࿖ߩᄢቇߦవ㚟ߌߡ‫ޔ‬17
ᐕᐲ߆ࠄ
ICࠞ࡯࠼⹺⸽㧔PKI⹺⸽㧕ߦၮߠߊ
ICT⛔วⅣႺࠍోቇ⊛ߦዉ౉ߒ‫⛔ޔ‬วࡔ࡯࡞ࠪࠬ࠹ࡓ߿࠰ࡈ࠻࠙ࠚࠕߩోቇ൮᜝࡜ࠗ࠮ࡦࠬᄾ⚂ߥߤࠍታోቇ⊛ߦዉ౉ߒ‫⛔ޔ‬วࡔ࡯࡞ࠪࠬ࠹ࡓ߿࠰ࡈ࠻࠙ࠚࠕߩోቇ൮᜝࡜ࠗ࠮ࡦࠬᄾ⚂ߥߤࠍታᣉߒߡ߈߹ߒߚ‫ߩߘޕ‬ᚑᨐࠍขࠅ߹ߣ߼ߡ‫੹ޔ‬ᐕᐲߩ
4 ᦬ߦ‫ ࠬࡄࡦࡖࠠޟ‬ICT ⛔วⅣႺߩ
ᣉߒߡ߈߹ߒߚ‫ߩߘޕ‬ᚑᨐࠍขࠅ߹ߣ߼ߡ‫੹ޔ‬ᐕᐲߩ
4 ᦬ߦ‫ࠬࡄࡦࡖࠠޟ‬ICT ⛔วⅣႺߩ⹜ߺ‫ߣޠ‬㗴ߔࠆ࠮ࡒ࠽࡯ࠍ㐿௅ߒ߹ߒߚ߇‫ోޔ‬࿖߆ࠄᄢቇߩ
CIO ߿ᖱႎࠪࠬ࠹ࡓ㑐ଥ⠪߇⹜ߺ‫ߣޠ‬㗴ߔࠆ࠮ࡒ࠽࡯ࠍ㐿௅ߒ߹ߒߚ߇‫ోޔ‬࿖߆ࠄᄢቇߩ
CIO ߿ᖱႎࠪࠬ࠹ࡓ㑐ଥ⠪߇
100ฬએ਄㓸߹ࠅ‫ޔ‬ᄢᄌ㜞޿⹏ଔࠍᄙߊߩᣇ‫ࠄ߆ޘ‬㗂߈߹ߒߚ‫ޕ‬ᖱႎߩᵴ↪ಽ㊁ߢߪ‫᧲ޔ‬Ꮏ
100 ฬએ਄㓸߹ࠅ‫ޔ‬ᄢᄌ㜞޿⹏ଔࠍᄙߊߩᣇ‫ࠄ߆ޘ‬㗂߈߹ߒߚ‫ޕ‬ᖱႎߩᵴ↪ಽ㊁ߢߪ‫᧲ޔ‬Ꮏᄢ⊒ߩቇⴚ⺰ᢥ╬ߩ৻ర⊛⫾Ⓧ
࡮▤ℂ࡮⊒ାࠍⴕ߁ T2R2 (Tokyo Tech Research Repository)ᄢ⊒ߩቇⴚ⺰ᢥ╬ߩ৻ర⊛⫾Ⓧ࡮▤ℂ࡮⊒ାࠍⴕ߁ T2R2 (Tokyo Tech Research Repository)ࠪࠬ࠹ࡓߩㆇ↪߇ᧄᩰൻߒ߹ߒߚ‫ޕ‬࿾㆏ߥ໪⫥ᵴേߩᚑᨐ߽޽ߞߡ‫ޔ‬ቇౝߩᄙߊߩᣇ‫߇ޘ‬ࠪࠬ࠹ࡓߩㆇ↪߇ᧄᩰൻߒ߹ߒߚ‫ޕ‬࿾㆏ߥ໪⫥ᵴേߩᚑᨐ߽޽ߞߡ‫ޔ‬ቇౝߩᄙߊߩᣇ‫߇ޘ‬೑↪ߔࠆࠃ߁ߦߥࠅ‫․ޔ‬೎ߥ੍▚ᚻᒰ߽㗂ߊߥߤ‫ోޔ‬ቇࠍ޽ߍߡߩขࠅ⚵ߺߦߥࠅߟߟ޽
೑↪ߔࠆࠃ߁ߦߥࠅ‫․ޔ‬೎ߥ੍▚ᚻᒰ߽㗂ߊߥߤ‫ోޔ‬ቇࠍ޽ߍߡߩขࠅ⚵ߺߦߥࠅߟߟ޽
ࠅ߹ߔ‫ޔߚ߹ޕ‬ᐔᚑ
7 ᐕᐲએ᧪‫᧲ޔ‬Ꮏᄢߩࠬࡄࠦࡦࠍ೑↪ߒ㧔18 ᐕᐲࠃࠅ㒋ᄢ߽ടࠊߞߡ㧕ࠅ߹ߔ‫ޔߚ߹ޕ‬ᐔᚑ
7 ᐕᐲએ᧪‫᧲ޔ‬Ꮏᄢߩࠬࡄࠦࡦࠍ೑↪ߒ㧔18‫ࠖ࠹࡯ࡘࡇࡦࠦ࡯ࡄ࡯ࠬޟ‬ᐕᐲࠃࠅ㒋ᄢ߽ടࠊߞߡ㧕Ფᄐⴕߞߡ߈ߚ㜞ᩞ↢࡮㜞ኾ↢ะߌߩࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻
Ფᄐⴕߞߡ߈ߚ㜞ᩞ↢࡮㜞ኾ↢ะߌߩࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻
‫ࠖ࠹࡯ࡘࡇࡦࠦ࡯ࡄ࡯ࠬޟ‬ࡦࠣࠦࡦ࠹ࠬ࠻‫ߦޠ‬ኻߒߡ߽‫ޔ‬20ᐕᐲߩᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨㧔ℂ⸃Ⴧㅴㇱ㐷㧕ࠍࡦࠣࠦࡦ࠹ࠬ࠻‫ߦޠ‬ኻߒߡ߽‫ޔ‬20 ᐕᐲߩᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨㧔ℂ⸃Ⴧㅴㇱ㐷㧕ࠍ㗂ߊߎߣ߇ߢ߈߹ߒߚ‫ޕ‬㗂ߊߎߣ߇ߢ߈߹ߒߚ‫ޕ‬᧪ᐕᐲߪ‫ߡߞߣߦ࡯࠲ࡦ࠮ᧄޔ‬ᓟᐕ⛯ߊᄢ߈ߥᄌ㕟ߩ╙৻ᱠߩᐕߣߥࠆߢߒࠂ߁‫ߕ߹ޕ‬᧪ᐕᐲߪ‫ߡߞߣߦ࡯࠲ࡦ࠮ᧄޔ‬ᓟᐕ⛯ߊᄢ߈ߥᄌ㕟ߩ╙৻ᱠߩᐕߣߥࠆߢߒࠂ߁‫ߕ߹ޕ‬ߪ‫ޔ‬ቇౝ᦭✢ࡀ࠶࠻ࡢ࡯ࠢߩᦝᣂ੐ᬺ߇ᆎ߹ࠅ߹ߔ‫ޔߦࠄߐޕ‬ᰴᦼ
TSUBAME2.0 ߩ⺞㆐ߪ‫ޔ‬ቇౝ᦭✢ࡀ࠶࠻ࡢ࡯ࠢߩᦝᣂ੐ᬺ߇ᆎ߹ࠅ߹ߔ‫ޔߦࠄߐޕ‬ᰴᦼ TSUBAME2.0 ߩ⺞㆐߇ⴕࠊࠇ߹ߔߒ‫ޔ‬ᢎ⢒↪⸘▚ᯏࠪࠬ࠹ࡓߩᦝᣂḰ஻߽ਗⴕߒߡⴕࠊࠇ߹ߔ‫ޔߚ߹ޕ‬ኻᄖ⊛߇ⴕࠊࠇ߹ߔߒ‫ޔ‬ᢎ⢒↪⸘▚ᯏࠪࠬ࠹ࡓߩᦝᣂḰ஻߽ਗⴕߒߡⴕࠊࠇ߹ߔ‫ޔߚ߹ޕ‬ኻᄖ⊛ߦߪᄖㇱ೑↪ࠍᧄᩰ⊛ߦផㅴߔࠆ૕೙૞ࠅ߇ᆎ߹ࠅ߹ߔ‫ޔߪࠇߎޕ‬7ᄢቇߩᖱႎၮ⋚࠮ࡦߦߪᄖㇱ೑↪ࠍᧄᩰ⊛ߦផㅴߔࠆ૕೙૞ࠅ߇ᆎ߹ࠅ߹ߔ‫ޔߪࠇߎޕ‬7 ᄢቇߩᖱႎၮ⋚࠮ࡦ11࠲࡯ߣㅪ៤ߒߡⴕ߁౒ห೑↪࡮౒ห⎇ⓥ᜚ὐൻ߳ߩḰ஻ߢ߽޽ࠅ߹ߔߒ‫ޟޔ‬వ┵⎇ⓥᣉ⸳౒
࠲࡯ߣㅪ៤ߒߡⴕ߁౒ห೑↪࡮౒ห⎇ⓥ᜚ὐൻ߳ߩḰ஻ߢ߽޽ࠅ߹ߔߒ‫ޟޔ‬వ┵⎇ⓥᣉ⸳౒
↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫ߦ⺧ⷐߩࠄ߆ޠ‬ᔕ߃ࠆߚ߼ߢ߽޽ࠅ߹ߔ‫ߥ߁ࠃߩߎޕ‬ᄢ߈ߥᄌ↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫ߦ⺧ⷐߩࠄ߆ޠ‬ᔕ߃ࠆߚ߼ߢ߽޽ࠅ߹ߔ‫ߥ߁ࠃߩߎޕ‬ᄢ߈ߥᄌ㕟ࠍ⦟޿ᣇะ߳ㅴ߼ߟߟ‫ߪ࡯࠲ࡦ࠮ᧄޔ‬ቇౝᄖߩછോ߿ᦼᓙߦᔕߓࠄࠇࠆࠃ߁ߥᵴേࠍ⛯㕟ࠍ⦟޿ᣇะ߳ㅴ߼ߟߟ‫ߪ࡯࠲ࡦ࠮ᧄޔ‬ቇౝᄖߩછോ߿ᦼᓙߦᔕߓࠄࠇࠆࠃ߁ߥᵴേࠍ⛯ߌߡⴕߊᚲሽߢߔ‫ߩߎޔ߽ߦ߼ߚߩߘޕ‬ᐕႎߢ‫ߩߎޔ‬1 ᐕ㑆ߩᚑᨐࠍᝄࠅ㄰ࠅ‫ޔߡߒ⴫౏ޔ‬ߌߡⴕߊᚲሽߢߔ‫ߩߎޔ߽ߦ߼ߚߩߘޕ‬ᐕႎߢ‫ ߩߎޔ‬1 ᐕ㑆ߩᚑᨐࠍᝄࠅ㄰ࠅ‫ޔߡߒ⴫౏ޔ‬਎ߦ໧޿‫ߏޔ‬ᛕ್ࠍ㗂ߊߎߣߪᭂ߼ߡ㊀ⷐߛߣ⠨߃ߡ߅ࠅ߹ߔ‫ޕ‬਎ߦ໧޿‫ߏޔ‬ᛕ್ࠍ㗂ߊߎߣߪᭂ߼ߡ㊀ⷐߛߣ⠨߃ߡ߅ࠅ߹ߔ‫ޕ‬ᧄ࠮ࡦ࠲࡯ߩ᭽‫ߥޘ‬ᵴേ‫ߦ߮ࠄߥޔ‬ᢎຬߩ⎇ⓥᚑᨐ╬ࠍᧄᐕႎߢߏⷩ㗂߈‫ߩߢ߹ࠇߎޔ‬ ᧄ࠮ࡦ࠲࡯ߩ᭽‫ߥޘ‬ᵴേ‫ߦ߮ࠄߥޔ‬ᢎຬߩ⎇ⓥᚑᨐ╬ࠍᧄᐕႎߢߏⷩ㗂߈‫ߩߢ߹ࠇߎޔ‬ᵴേ࡮ᚑᨐ࡮ᣇะᕈߦኻߒߏᗧ⷗‫ߏޔ‬ഥ⸒ࠍ㗂ߌࠇ߫ᐘ޿ߢߔ‫ޕ‬ᵴേ࡮ᚑᨐ࡮ᣇะᕈߦኻߒߏᗧ⷗‫ߏޔ‬ഥ⸒ࠍ㗂ߌࠇ߫ᐘ޿ߢߔ‫ޕ‬22࠻ࡇ࠶ࠢࠬ
࠻ࡇ࠶ࠢࠬ

64 6QM[Q6GEJ4GUGCTEJ4GRQUKVQT[ ࠪࠬ࠹ࡓߩዷ㐿
64 6QM[Q6GEJ4GUGCTEJ4GRQUKVQT[ ࠪࠬ࠹ࡓߩዷ㐿ᖱႎၮ⋚ㇱ㐷 ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ ᮮ↰ ᴦᄦᖱႎၮ⋚ㇱ㐷 ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ ᮮ↰ ᴦᄦ ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߢߪ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߩ㐿⊒ߦ៤ࠊߞߡ޿ࠆ‫ޕ‬એਅ‫ߩߘޔ‬ౝኈࠍ⚫੺ߔࠆ‫ޕ‬ ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߢߪ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߩ㐿⊒ߦ៤ࠊߞߡ޿ࠆ‫ޕ‬એਅ‫ߩߘޔ‬ౝኈࠍ⚫੺ߔࠆ‫ޕ‬1) T2R2 ࠪࠬ࠹ࡓߩ૏⟎ߠߌ1) 㜞╬ᢎ⢒࡮⎇ⓥߦ៤ࠊࠆ߽ߩߦߣߞߡ‫ޔ‬ቇⴚ⺰ᢥ߿․⸵ߣ޿ߞߚ⎇ⓥᬺ❣߇ᭂ߼ߡ㊀ⷐߥᗧ๧
T2R2 ࠪࠬ࠹ࡓߩ૏⟎ߠߌ㜞╬ᢎ⢒࡮⎇ⓥߦ៤ࠊࠆ߽ߩߦߣߞߡ‫ޔ‬ቇⴚ⺰ᢥ߿․⸵ߣ޿ߞߚ⎇ⓥᬺ❣߇ᭂ߼ߡ㊀ⷐߥᗧ๧ࠍᜬߟߎߣߪ⸒߁߹ߢ߽ߥ޿‫ޔ⥸੹ޕ‬ᄢඨߩ⎇ⓥᬺ❣ߪ‫ޔ‬࠲ࠗ࠻࡞߿⪺⠪ߣ޿ߞߚࡔ࠲࠺࡯࠲㧔ᦠࠍᜬߟߎߣߪ⸒߁߹ߢ߽ߥ޿‫ޔ⥸੹ޕ‬ᄢඨߩ⎇ⓥᬺ❣ߪ‫ޔ‬࠲ࠗ࠻࡞߿⪺⠪ߣ޿ߞߚࡔ࠲࠺࡯࠲㧔ᦠ⹹ᖱႎ㧕ߩߺߥࠄߕ⺰ᢥ߿․⸵ߩᧄᢥ߽㔚ሶൻߐࠇߡ޿ࠆ߇‫ߩߘޔ‬ᚲ࿷ߪᔅߕߒ߽᣿⏕ߢߥߊ‫ޔ‬⹹ᖱႎ㧕ߩߺߥࠄߕ⺰ᢥ߿․⸵ߩᧄᢥ߽㔚ሶൻߐࠇߡ޿ࠆ߇‫ߩߘޔ‬ᚲ࿷ߪᔅߕߒ߽᣿⏕ߢߥߊ‫ޔ‬ฦ⎇ⓥቶ߿ቇળߦ྾ᢔߒߡ߅ࠅ‫ޔ‬ᔅⷐߥᖱႎࠍᓧࠆߚ߼ߩࠦࠬ࠻ߪ᳿ߒߡዊߐߊߥ޿‫⾆ޕ‬㊀ߥ⍮
ฦ⎇ⓥቶ߿ቇળߦ྾ᢔߒߡ߅ࠅ‫ޔ‬ᔅⷐߥᖱႎࠍᓧࠆߚ߼ߩࠦࠬ࠻ߪ᳿ߒߡዊߐߊߥ޿‫⾆ޕ‬㊀ߥ⍮⊛⾗Ḯࠍ᦭ലߦ೑↪ߔࠆ਄߆ࠄ‫ߩࠄࠇߘޔ‬ᖱႎࠍฦᯏ㑐ߩ࡝ࡐࠫ࠻࡝ߣߒߡ㓸⚂ߔࠆേ߈߇࿖ౝ
⊛⾗Ḯࠍ᦭ലߦ೑↪ߔࠆ਄߆ࠄ‫ߩࠄࠇߘޔ‬ᖱႎࠍฦᯏ㑐ߩ࡝ࡐࠫ࠻࡝ߣߒߡ㓸⚂ߔࠆേ߈߇࿖ౝ
ᄖߢᵴ⊒ൻߒߡ޿ࠆ‫ޕ‬ᄢቇߣߒߡ߽‫ߩߘޔ‬᭴ᚑຬߩ⎇ⓥᬺ❣ᖱႎ╬ߩ㓸⚂ߪ‫ࠍ⾰ߩߡߒߣ❱⚵ޔ‬ᄖߢᵴ⊒ൻߒߡ޿ࠆ‫ޕ‬ᄢቇߣߒߡ߽‫ߩߘޔ‬᭴ᚑຬߩ⎇ⓥᬺ❣ᖱႎ╬ߩ㓸⚂ߪ‫ࠍ⾰ߩߡߒߣ❱⚵ޔ‬଻⸽ߒ‫ࠍࠇߘޔ‬ᐢߊ⍮ࠄߒ߼ࠆ਄ߢ߽ᔅ㗇ߢ޽ࠆ‫ޔ߼ߚߩߎޕ‬࿖ౝߦ߅޿ߡߪ‫ޔ‬࿖┙ᖱႎቇ⎇ⓥ
଻⸽ߒ‫ࠍࠇߘޔ‬ᐢߊ⍮ࠄߒ߼ࠆ਄ߢ߽ᔅ㗇ߢ޽ࠆ‫ޔ߼ߚߩߎޕ‬࿖ౝߦ߅޿ߡߪ‫ޔ‬࿖┙ᖱႎቇ⎇ⓥ
ᚲ㧔NII㧕ࠍਛᔃߦฦᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߩᢛ஻߇ⴕࠊࠇߡ޿ࠆ‫ޕ‬ᚲ㧔NII㧕ࠍਛᔃߦฦᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߩᢛ஻߇ⴕࠊࠇߡ޿ࠆ‫ޕ‬ᧄቇߢ߽‫ޔ‬ቇౝߩ⍮⊛⾗Ḯߩ᦭ലᵴ↪߿᭴ᚑຬߩᵴേ⁁ᴫߩᐢႎ╬ߩ㕙߆ࠄ‫ޔ‬ฦ⒳࡝ࡐࠫ࠻࡝
ᧄቇߢ߽‫ޔ‬ቇౝߩ⍮⊛⾗Ḯߩ᦭ലᵴ↪߿᭴ᚑຬߩᵴേ⁁ᴫߩᐢႎ╬ߩ㕙߆ࠄ‫ޔ‬ฦ⒳࡝ࡐࠫ࠻࡝
ᯏ⢻ߩ㊀ⷐᕈ߇ᒝߊ⹺⼂ߐࠇߡ߈ߚ‫ޕ‬ᓥ᧪ߪ‫⎇ޟ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓ‫⎇ߡߞࠃߦޠ‬ⓥᬺ❣╬ࠍ㓸⚂ᯏ⢻ߩ㊀ⷐᕈ߇ᒝߊ⹺⼂ߐࠇߡ߈ߚ‫ޕ‬ᓥ᧪ߪ‫⎇ޟ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓ‫⎇ߡߞࠃߦޠ‬ⓥᬺ❣╬ࠍ㓸⚂ߒߡ߈ߚ߇‫ߪߢߌߛࠇߘޔ‬ਇචಽߥὐ߇ᄙ޿ߎߣ߆ࠄ‫ޔ‬ᐔᚑ 16 ᐕᐲ߆ࠄ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯‫ޔ‬ߒߡ߈ߚ߇‫ޔ‬ߘࠇߛߌߢߪਇචಽߥὐ߇ᄙ޿ߎߣ߆ࠄ‫ޔ‬ᐔᚑ 16 ᐕᐲ߆ࠄ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯‫ޔ‬㒝ዻ࿑ᦠ㙚‫ޔ‬ᄢⷙᮨ⍮⼂⾗Ḯ࠮ࡦ࠲࡯߇දജߒߡ‫᧲ޔ‬Ꮏᄢߩ⍮⊛⾗Ḯࠍ⫾Ⓧ࡮㈩ାߔࠆᯏ㑐࡝ࡐ㒝ዻ࿑ᦠ㙚‫ޔ‬ᄢⷙᮨ⍮⼂⾗Ḯ࠮ࡦ࠲࡯߇දജߒߡ‫᧲ޔ‬Ꮏᄢߩ⍮⊛⾗Ḯࠍ⫾Ⓧ࡮㈩ାߔࠆᯏ㑐࡝ࡐࠫ࠻࡝ߣߒߡ Tokyo Tech STAR (Science and Technology Academic Repository)ߩࠦࡦ࠮ࡊ࠻ࠍ

ࠫ࠻࡝ߣߒߡ Tokyo Tech STAR (Science and Technology Academic Repository)ߩࠦࡦ࠮ࡊ࠻ࠍ
ឭ᩺ߒ‫ޔ‬ᢎ⢒࡮⎇ⓥౝኈߦ㑐ߔࠆ࡝ࡐࠫ࠻࡝ߩ᭴▽ࠍផㅴߒߡ޿ࠆ‫ޕ‬ឭ᩺ߒ‫ޔ‬ᢎ⢒࡮⎇ⓥౝኈߦ㑐ߔࠆ࡝ࡐࠫ࠻࡝ߩ᭴▽ࠍផㅴߒߡ޿ࠆ‫ޕ‬Tokyo Tech STAR ߪ‫⺰ޔ‬ᢥ࡮․⸵╬ߩቇⴚ⎇ⓥࠦࡦ࠹ࡦ࠷ࠍኻ⽎ߣߔࠆResearch Repository‫ޔ‬Tokyo Tech STAR ߪ‫⺰ޔ‬ᢥ࡮․⸵╬ߩቇⴚ⎇ⓥࠦࡦ࠹ࡦ࠷ࠍኻ⽎ߣߔࠆResearch
Repository‫ޔ‬⻠⟵⾗ᢱ╬ߩᢎ⢒ࠦࡦ࠹ࡦ࠷ࠍኻ⽎ߣߔࠆCourseWareHouse‫ޔ‬ᱧผ⊛⎇ⓥᚑᨐ‛╬ࠍኻ⽎ߣߔࠆ⻠⟵⾗ᢱ╬ߩᢎ⢒ࠦࡦ࠹ࡦ࠷ࠍኻ⽎ߣߔࠆCourseWareHouse‫ޔ‬ᱧผ⊛⎇ⓥᚑᨐ‛╬ࠍኻ⽎ߣߔࠆ
Digital Museumߩ 3 ᧄᩇ߆ࠄߥࠅ‫ޔ‬ቇౝߦᢔ࿷ߔࠆ㑐ㅪᖱႎࠍ㓸⚂ߒߡ⫾Ⓧߒ‫ࠣࡦࠫ࠙࡜ࡉޔ‬ᯏ
DigitalMuseumߩ 3 ᧄᩇ߆ࠄߥࠅ‫ޔ‬ቇౝߦᢔ࿷ߔࠆ㑐ㅪᖱႎࠍ㓸⚂ߒߡ⫾Ⓧߒ‫ࠣࡦࠫ࠙࡜ࡉޔ‬ᯏ⢻࡮ᬌ⚝ᯏ⢻╬ࠍឭଏߒߡ‫ޔ‬ቇౝᄖߦ⊒ାߔࠆߎߣࠍ⋡⊛ߣߒߡ޿ࠆ㧔࿑
0.1㧕‫ޕ‬⢻࡮ᬌ⚝ᯏ⢻╬ࠍឭଏߒߡ‫ޔ‬ቇౝᄖߦ⊒ାߔࠆߎߣࠍ⋡⊛ߣߒߡ޿ࠆ㧔࿑ 0.1㧕‫ޕ‬㓸⚂Tokyo Tech STAR㓸⚂ฦ⎇ⓥቶTokyo Tech STAR
ฦ⎇ⓥቶ
Research RepositoryᐢႎቇᄖResearch Repositoryᐢႎቇᄖ
T2R2 System

ฦ⎇ⓥቶ
ฦ⎇ⓥቶ

ฦ⎇ⓥቶ
ฦ⎇ⓥቶ

T2R2 System
CourseWareHouse
CourseWareHouse
Tokyo Tech OCWTokyo Tech OCW
Digital Museum
Digital Museum

࿑ 0.1 ቇౝ⍮⊛⾗Ḯߩ㓸⚂ߣߘߩᵴ↪
࿑ 0.1 ቇౝ⍮⊛⾗Ḯߩ㓸⚂ߣߘߩᵴ↪

3
3

ᵴ↪
ᵴ↪

ቇౝ
ቇౝ

ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ᖱႎၮ⋚ㇱ㐷ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ߢߪ‫ޔ‬ᖱႎࠨ࡯ࡆࠬߣߒߡ⫾Ⓧ࡮ᵴ↪
ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ᖱႎၮ⋚ㇱ㐷ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ߢߪ‫ޔ‬ᖱႎࠨ࡯ࡆࠬߣߒߡ⫾Ⓧ࡮ᵴ↪
ᯏ⢻ࠍታ⃻ߔࠆߎߣࠍ⋡⊛ߦ‫ޔ‬Tokyo
Tech STAR ߩផㅴߦ⽸₂ߒߡ߈ߚ‫ ߦ․ޕ‬Researchᯏ⢻ࠍታ⃻ߔࠆߎߣࠍ⋡⊛ߦ‫ޔ‬Tokyo
Tech STAR ߩផㅴߦ⽸₂ߒߡ߈ߚ‫ ߦ․ޕ‬Research
Repositoryߦ㑐ߒߡߪ‫᧲ޔ‬Ꮏᄢߣߒߡߩ․ᓽࠍᵴ߆ߔߎߣࠍᔨ㗡ߦ‫ࡓ࠹ࠬࠪ࡝࠻ࠫࡐ࡝ߩ⥄⁛ޔ‬
Repositoryߦ㑐ߒߡߪ‫᧲ޔ‬Ꮏᄢߣߒߡߩ․ᓽࠍᵴ߆ߔߎߣࠍᔨ㗡ߦ‫ࡓ࠹ࠬࠪ࡝࠻ࠫࡐ࡝ߩ⥄⁛ޔ‬ߢ޽ࠆ
T2R2ࠪࠬ࠹ࡓࠍ㐿⊒ߒߡ߈ߚ㧔T2R2 ߣߪ‫ޔ‬Tokyo Tech Research Repository ߩ㗡ᢥߢ޽ࠆ T2R2 ࠪࠬ࠹ࡓࠍ㐿⊒ߒߡ߈ߚ㧔T2R2ߣߪ‫ޔ‬Tokyo
Tech Researchߩ㗡ᢥሼࠍߣߞߚ߽ߩߢ޽ࠆ㧕‫ޔߦ߼ߚߩߘޕ‬RRWG (Research
Repository
WorkingRepository
Group) ࠍ┙ߜ਄ሼࠍߣߞߚ߽ߩߢ޽ࠆ㧕‫ޔߦ߼ߚߩߘޕ‬RRWG(Research
Repository
Working
Group) ࠍ┙ߜ਄ߍ‫ޔ‬ᵴേࠍ⛯ߌߡ޿ࠆ‫ޔ߅ߥޕ‬Tokyo
Tech STARߩฬ⒓߅ࠃ߮RRWG
ߩ⸳┙ߪ‫ޔ‬ᐔᚑ
17 ᐕ 7ߍ‫ޔ‬ᵴേࠍ⛯ߌߡ޿ࠆ‫ޔ߅ߥޕ‬Tokyo
Tech STARߩฬ⒓߅ࠃ߮
RRWG ߩ⸳┙ߪ‫ޔ‬ᐔᚑ 17 ᐕ 7᦬
1 ᣣߩᓎຬળߦ߅޿ߡᛚ⹺ߐࠇߡ޿ࠆ‫⃻ޕ‬࿷
RRWG
ߪ‫ޔ‬ᖱႎၮ⋚⛔᜝ቶߩ࿑ᦠᖱႎㇱળߩਅ
᦬ 1 ᣣߩᓎຬળߦ߅޿ߡᛚ⹺ߐࠇߡ޿ࠆ‫⃻ޕ‬࿷RRWG ߪ‫ޔ‬ᖱႎၮ⋚⛔᜝ቶߩ࿑ᦠᖱႎㇱળߩਅߦ૏⟎ߔࠆ‫ޔߚ߹ޕ‬ᐔᚑ
17 ᐕᐲ߆ࠄߪ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߩ㐿⊒ߩ৻ㇱࠍ࿖┙ᖱႎቇ⎇ⓥᚲߩฃ⸤ߦ૏⟎ߔࠆ‫ޔߚ߹ޕ‬ᐔᚑ 17 ᐕᐲ߆ࠄߪ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߩ㐿⊒ߩ৻ㇱࠍ࿖┙ᖱႎቇ⎇ⓥᚲߩฃ⸤੐ᬺߣߒߡⴕߞߡ߈ߚ‫ޕ‬੐ᬺߣߒߡⴕߞߡ߈ߚ‫ޕ‬2) T2R2 ࠪࠬ࠹ࡓߩ․ᓽ
2) T2R2
T2R2ࠪࠬ࠹ࡓߪ‫ޔࠄ߆⊛⋡ߩߘޔ‬ቇⴚᖱႎࠍ㓸⚂ߒᤃߊ‫ߟ߆ޔ‬㓸⚂ߒߚᖱႎࠍᵴ↪ߒᤃ޿ᒻࠪࠬ࠹ࡓߩ․ᓽ

T2R2 ࠪࠬ࠹ࡓߪ‫ޔࠄ߆⊛⋡ߩߘޔ‬ቇⴚᖱႎࠍ㓸⚂ߒᤃߊ‫ߟ߆ޔ‬㓸⚂ߒߚᖱႎࠍᵴ↪ߒᤃ޿ᒻߢឭଏߔࠆߎߣࠍᄢ߈ߥ․ᓽߣߔࠆ‫ઁޕ‬ᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߢߪ‫ޔ‬MIT
ߣ HP ߇౒ห㐿⊒ߒߚߢឭଏߔࠆߎߣࠍᄢ߈ߥ․ᓽߣߔࠆ‫ઁޕ‬ᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߢߪ‫ޔ‬MIT
ߣ HP ߇౒ห㐿⊒ߒߚ᳢↪ߩ࡝ࡐࠫ࠻࡝ࡊ࡜࠶࠻ࡈࠜ࡯ࡓߢ޽ࠆ DSpace ࠍ೑↪ߒߡ޿ࠆߣߎࠈ߇ᄙ޿߇‫ޔ‬
᧲ᎿᄢߩⅣ᳢↪ߩ࡝ࡐࠫ࠻࡝ࡊ࡜࠶࠻ࡈࠜ࡯ࡓߢ޽ࠆ DSpace ࠍ೑↪ߒߡ޿ࠆߣߎࠈ߇ᄙ޿߇‫᧲ޔ‬ᎿᄢߩⅣ
Ⴚࠍ⠨ᘦߒ‫↱⥄ޔ‬ᐲ߇㜞ߊ᜛ᒛᕈߦఝࠇߚ࡝ࡐࠫ࠻࡝ࠍታ⃻ߔࠆߚ߼ߦ‫ࠬࠪ࡝࠻ࠫࡐ࡝ߩ⥄⁛ޔ‬Ⴚࠍ⠨ᘦߒ‫↱⥄ޔ‬ᐲ߇㜞ߊ᜛ᒛᕈߦఝࠇߚ࡝ࡐࠫ࠻࡝ࠍታ⃻ߔࠆߚ߼ߦ‫ࠬࠪ࡝࠻ࠫࡐ࡝ߩ⥄⁛ޔ‬࠹ࡓࠍ㐿⊒ߔࠆߎߣߦߒߚ‫ޕ‬࠹ࡓࠍ㐿⊒ߔࠆߎߣߦߒߚ‫ޕ‬ߟ߹ࠅ‫ޔ‬ℂᎿ♽߇ਛᔃߢ޽ࠆ᧲Ꮏᄢߢߪ‫ޔ‬ቇⴚ㔀⹹߿࿖㓙ળ⼏╬ߦᛩⓂߒߚ⺰ᢥߩᖱႎࠍ⎇ⓥ
ߟ߹ࠅ‫ޔ‬ℂᎿ♽߇ਛᔃߢ޽ࠆ᧲Ꮏᄢߢߪ‫ޔ‬ቇⴚ㔀⹹߿࿖㓙ળ⼏╬ߦᛩⓂߒߚ⺰ᢥߩᖱႎࠍ⎇ⓥ⠪⥄り߇౉ജߒ‫ߩߘޔ‬ᖱႎࠍ⑼⎇⾌╬ߩฦ⒳↳⺧ᦠ߿ႎ๔ᦠߦ೑↪ߔࠆ㗫ᐲ߇㜞ߊ‫⎇ޔ‬ⓥቶߩ
⠪⥄り߇౉ജߒ‫ߩߘޔ‬ᖱႎࠍ⑼⎇⾌╬ߩฦ⒳↳⺧ᦠ߿ႎ๔ᦠߦ೑↪ߔࠆ㗫ᐲ߇㜞ߊ‫⎇ޔ‬ⓥቶߩ
Webࡍ࡯ࠫ╬߆ࠄᬺ❣ᖱႎࠍ⊒ାߒߡ޿ࠆ႐ว߽ᄙ޿ߎߣࠍ೨ឭߦ‫ޔ‬ࠪࠬ࠹ࡓࠍ․ൻߔࠆߎߣ߇
Webࡍ࡯ࠫ╬߆ࠄᬺ❣ᖱႎࠍ⊒ାߒߡ޿ࠆ႐ว߽ᄙ޿ߎߣࠍ೨ឭߦ‫․ࠍࡓ࠹ࠬࠪޔ‬ൻߔࠆߎߣ߇
㊀ⷐߣߥࠆ㧔ઁᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߢߪ‫ߩⷐ♿ޔ‬ᖱႎ߇ਥኻ⽎ߢ‫ࠍࠇߘޔ‬࿑ᦠ㙚ຬ߇౉ജߔࠆ
㊀ⷐߣߥࠆ㧔ઁᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߢߪ‫ߩⷐ♿ޔ‬ᖱႎ߇ਥኻ⽎ߢ‫ࠍࠇߘޔ‬࿑ᦠ㙚ຬ߇౉ജߔࠆ
ࠤ࡯߽ࠬᄙߊ‫᧲ޔ‬ᎿᄢߣߪⅣႺ߇⇣ߥࠆ㧕‫᧲ޔߚ߹ޕ‬Ꮏᄢߢߪ‫ઁޔ‬ᄢቇߦవ㚟ߌߡ⹺⸽⹺นࠪࠬ࠹
ࠤ࡯߽ࠬᄙߊ‫᧲ޔ‬ᎿᄢߣߪⅣႺ߇⇣ߥࠆ㧕‫᧲ޔߚ߹ޕ‬Ꮏᄢߢߪ‫ઁޔ‬ᄢቇߦవ㚟ߌߡ⹺⸽⹺นࠪࠬ࠹
ࡓ߇Ⓙേߒߡ޿ࠆߎߣ߆ࠄ‫⹺⸽⹺ޔ‬นᖱႎࠍ᦭ല೑↪ߒߡ‫ޔ‬ᖱႎߩ෼㓸߿ᵴ↪ࠍኈᤃߦߔࠆߎߣ
ࡓ߇Ⓙേߒߡ޿ࠆߎߣ߆ࠄ‫⹺⸽⹺ޔ‬นᖱႎࠍ᦭ല೑↪ߒߡ‫ޔ‬ᖱႎߩ෼㓸߿ᵴ↪ࠍኈᤃߦߔࠆߎߣ
߇ߢ߈ࠆ‫ޕ‬ߐࠄߦ‫⥄⁛ޔ‬㐿⊒ߦࠃߞߡ‫ޔ‬೑↪⠪߆ࠄߩ᭽‫ⷐߥޘ‬᳞ߦᨵエߦኻᔕߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬߇ߢ߈ࠆ‫ޕ‬ߐࠄߦ‫ޔ‬⁛⥄㐿⊒ߦࠃߞߡ‫ޔ‬೑↪⠪߆ࠄߩ᭽‫ⷐߥޘ‬᳞ߦᨵエߦኻᔕߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬એਅ‫ޔ‬T2R2ࠪࠬ࠹ࡓߩ․ᓽὐࠍㅀߴࠆ‫ޕ‬ࠪࠬ࠹ࡓߩ․ᓽὐࠍㅀߴࠆ‫ޕ‬(a)એਅ‫ޔ‬T2R2ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߣᄖㇱᬌ⚝↪ࡍ࡯ࠫߩ․ᓽ(a)࡮
ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߣᄖㇱᬌ⚝↪ࡍ࡯ࠫߩ․ᓽ
⎇ⓥ⠪߇⥄ಽߩቇⴚ⺰ᢥ╬ߦ㑐ߔࠆᖱႎࠍ౉ജ‫✬ޔ‬㓸‫ޔ‬೥㒰ߔࠆߚ߼ߩቇౝ౉ജ✬㓸↪ࡍ࡯࡮ ࠫ㧔࿑
⎇ⓥ⠪߇⥄ಽߩቇⴚ⺰ᢥ╬ߦ㑐ߔࠆᖱႎࠍ౉ജ‫ޔ‬✬㓸‫ޔ‬೥㒰ߔࠆߚ߼ߩቇౝ౉ജ✬㓸↪ࡍ࡯
0.2㧕ߣ‫ޔ‬ቇౝᄖߩ৻⥸ߩ೑↪⠪߇⊓㍳ߐࠇߚᖱႎࠍࡉ࡜࠙࠭࡮ᬌ⚝ߔࠆߚ߼ߩᄖ

ࠫ㧔࿑ 0.2㧕ߣ‫ޔ‬ቇౝᄖߩ৻⥸ߩ೑↪⠪߇⊓㍳ߐࠇߚᖱႎࠍࡉ࡜࠙࠭࡮ᬌ⚝ߔࠆߚ߼ߩᄖ
ㇱᬌ⚝↪ࡍ࡯ࠫ㧔࿑
0.3㧕ߣࠍឭଏߒߡ޿ࠆ‫ޕ‬ㇱᬌ⚝↪ࡍ࡯ࠫ㧔࿑ 0.3㧕ߣࠍឭଏߒߡ޿ࠆ‫ޕ‬࡮ ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߪ‫ޔ‬㑐ㅪቇⴚᖱႎࠍ౉ജ࡮✬㓸ߢ߈ࠆߛߌߢߥߊ‫⎇ޔ‬ⓥ⠪ߩᬺ❣৻࡮ ⷩ߿⑼⎇⾌↳⺧ᦠߩ૞ᚑ‫࠻ࠢࠚࠫࡠࡊޔ‬ᖱႎ▤ℂ╬߽ⴕ߁ߎߣ߇ߢ߈ࠆ‫ޕ‬ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߪ‫ޔ‬㑐ㅪቇⴚᖱႎࠍ౉ജ࡮✬㓸ߢ߈ࠆߛߌߢߥߊ‫⎇ޔ‬ⓥ⠪ߩᬺ❣৻ⷩ߿⑼⎇⾌↳⺧ᦠߩ૞ᚑ‫࠻ࠢࠚࠫࡠࡊޔ‬ᖱႎ▤ℂ╬߽ⴕ߁ߎߣ߇ߢ߈ࠆ‫ޕ‬࡮ ᄖㇱᬌ⚝↪ࡍ࡯ࠫߪ‫⪺࡮࡞࠻ࠗ࠲ޔ‬⠪╬ߩ⊓㍳ᖱႎߦኻߔࠆࠠ࡯ࡢ࡯࠼ߦࠃࠆᬺ❣ߩᬌ⚝࡮ ߛߌߢߥߊ‫⎇ޔ‬ⓥ⠪ฬߩ৻ㇱ౉ജ߽ߒߊߪ⎇ⓥ⠪ߩᚲዻߔࠆ⚵❱㓏ጀ߆ࠄ⎇ⓥ⠪ࠍ⛉ࠅㄟᄖㇱᬌ⚝↪ࡍ࡯ࠫߪ‫⪺࡮࡞࠻ࠗ࠲ޔ‬⠪╬ߩ⊓㍳ᖱႎߦኻߔࠆࠠ࡯ࡢ࡯࠼ߦࠃࠆᬺ❣ߩᬌ⚝ߛߌߢߥߊ‫⎇ޔ‬ⓥ⠪ฬߩ৻ㇱ౉ജ߽ߒߊߪ⎇ⓥ⠪ߩᚲዻߔࠆ⚵❱㓏ጀ߆ࠄ⎇ⓥ⠪ࠍ⛉ࠅㄟߺ‫⎇ޔ‬ⓥ⠪Ფߦᬺ❣ࠍ಴ജߐߖࠆߎߣ߽น⢻ߣߥߞߡ޿ࠆ‫ޕ‬ߺ‫⎇ޔ‬ⓥ⠪Ფߦᬺ❣ࠍ಴ജߐߖࠆߎߣ߽น⢻ߣߥߞߡ޿ࠆ‫ޕ‬(b) ⹺⸽⹺นࠪࠬ࠹ࡓߣߩㅪ៤(b)࡮
⹺⸽⹺นࠪࠬ࠹ࡓߣߩㅪ៤IC ࠞ࡯࠼ࠍᜬߟ⎇ⓥ⠪߇⹺⸽ᓟߩ᧲Ꮏᄢࡐ࡯࠲࡞↹㕙߆ࠄౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫ౉ࠆߎ࡮ ߣ߇ߢ߈‫౉ోޔ‬ജ⠪ߩ୘ੱࠍ․ቯߢ߈ࠆߎߣ߆ࠄ‫❱⚵ޔ‬ᬌ⚝߿ࡊࡠࠫࠚࠢ࠻න૏ߩᬺ❣▤IC ࠞ࡯࠼ࠍᜬߟ⎇ⓥ⠪߇⹺⸽ᓟߩ᧲Ꮏᄢࡐ࡯࠲࡞↹㕙߆ࠄౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫ౉ࠆߎ

ߣ߇ߢ߈‫౉ోޔ‬ജ⠪ߩ୘ੱࠍ․ቯߢ߈ࠆߎߣ߆ࠄ‫❱⚵ޔ‬ᬌ⚝߿ࡊࡠࠫࠚࠢ࠻න૏ߩᬺ❣▤ℂ߇น⢻ߣߥߞߡ޿ࠆ‫ޕ‬ℂ߇น⢻ߣߥߞߡ޿ࠆ‫ޕ‬

4
4



     ࿑ 0.2 ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫ        ࿑ 0.3 ᄖㇱᬌ⚝↪ࡍ࡯ࠫ     ࿑ 0.2 ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫ        ࿑ 0.3 ᄖㇱᬌ⚝↪ࡍ࡯ࠫ(c) ቇⴚ⺰ᢥᖱႎ╬ߣ⎇ⓥ⠪ߩ㑐ㅪઃߌߦࠃࠆ▤ℂ(c)࡮
ቇⴚ⺰ᢥᖱႎ╬ߣ⎇ⓥ⠪ߩ㑐ㅪઃߌߦࠃࠆ▤ℂ
ᓥ᧪ߩ‫⎇ޟ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓ‫ޔߪߢޠ‬ฦ⎇ⓥ⠪ߦઃ㓐ߒߚᖱႎߣߒߡቇⴚ⺰ᢥ╬ࠍ▤ℂߒ࡮ ᓥ᧪ߩ‫⎇ޟ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓ‫ޔߪߢޠ‬ฦ⎇ⓥ⠪ߦઃ㓐ߒߚᖱႎߣߒߡቇⴚ⺰ᢥ╬ࠍ▤ℂߒߡ޿ߚߩߦኻߒ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߢߪቇⴚ⺰ᢥ╬ࠍਥ૕ߣߒ‫⎇ߦࠇߘޔ‬ⓥ⠪ࠍ㑐ㅪઃߌࠆߡ޿ߚߩߦኻߒ‫ޔ‬T2R2ࠪࠬ࠹ࡓߢߪቇⴚ⺰ᢥ╬ࠍਥ૕ߣߒ‫⎇ߦࠇߘޔ‬ⓥ⠪ࠍ㑐ㅪઃߌࠆߎߣߢ▤ℂߔࠆ‫ޕ‬࡮ ߎߣߢ▤ℂߔࠆ‫ޕ‬ቇⴚ⺰ᢥߩઁߩ⪺⠪߽㑐ㅪઃߌࠆߎߣߢ‫ޔ‬ㅪฬ⠪ߩ߁ߜ৻ੱ㧔ቇ↢߽น⢻㧕߇౉ജߔࠆߎ࡮ ቇⴚ⺰ᢥߩઁߩ⪺⠪߽㑐ㅪઃߌࠆߎߣߢ‫ޔ‬ㅪฬ⠪ߩ߁ߜ৻ੱ㧔ቇ↢߽น⢻㧕߇౉ജߔࠆߎ
ߣߢઁߩㅪฬ⠪ߪ౉ജߔࠆᔅⷐ߇ߥߊ‫ޔ‬ฦㅪ⋖⠪ߩᬺ❣ߣߒߡ಴ജߔࠆߎߣ߇ߢ߈ࠆ‫ߎޕ‬ߣߢઁߩㅪฬ⠪ߪ౉ജߔࠆᔅⷐ߇ߥߊ‫ޔ‬ฦㅪ⋖⠪ߩᬺ❣ߣߒߡ಴ജߔࠆߎߣ߇ߢ߈ࠆ‫ߎޕ‬ࠇߦࠃࠅ‫ోޔ‬૕ߣߒߡߩ౉ജߩഭജࠍਅߍࠆߎߣ߇น⢻ߣߥࠆ‫ޕ‬࡮ ࠇߦࠃࠅ‫ోޔ‬૕ߣߒߡߩ౉ജߩഭജࠍਅߍࠆߎߣ߇น⢻ߣߥࠆ‫ޕ‬਄ㅀߩ⹺⸽⹺นࠪࠬ࠹ࡓߣߩㅪ៤ߦࠃࠅ‫❱⚵ޔ‬න૏߿ࡊࡠࠫࠚࠢ࠻න૏ߢ‫ߦߎߘޔ‬฽߹ࠇ࡮ ਄ㅀߩ⹺⸽⹺นࠪࠬ࠹ࡓߣߩㅪ៤ߦࠃࠅ‫❱⚵ޔ‬න૏߿ࡊࡠࠫࠚࠢ࠻න૏ߢ‫ߦߎߘޔ‬฽߹ࠇࠆ⎇ⓥ⠪ߩᬺ❣ࠍ߹ߣ߼ࠆߎߣ߇ߢ߈ࠆ‫⎇ߦ߁ࠃߩߢ߹ࠇߎޕ‬ⓥᲤߦ⺰ᢥᖱႎࠍઃ㓐ߐߖࠆ⎇ⓥ⠪ߩᬺ❣ࠍ߹ߣ߼ࠆߎߣ߇ߢ߈ࠆ‫⎇ߦ߁ࠃߩߢ߹ࠇߎޕ‬ⓥᲤߦ⺰ᢥᖱႎࠍઃ㓐ߐߖߡ޿ߚ႐วߦߪ‫ޔ‬ห৻⺰ᢥࠍ⥄േ⊛ߦ⼂೎ߔࠆߎߣ߇ߢ߈ߥ޿ߚ߼‫ࠆ߼ߣ߹ߦ߁ࠃߩߘޔ‬ߡ޿ߚ႐วߦߪ‫ޔ‬ห৻⺰ᢥࠍ⥄േ⊛ߦ⼂೎ߔࠆߎߣ߇ߢ߈ߥ޿ߚ߼‫ࠆ߼ߣ߹ߦ߁ࠃߩߘޔ‬ߎߣ߇ߢ߈ߥ߆ߞߚ‫ޕ‬࡮ ߎߣ߇ߢ߈ߥ߆ߞߚ‫ޕ‬ㅪฬ⠪ߩ࡝ࡦࠢࠍߚߤࠆߎߣߦࠃࠅ⎇ⓥ⠪㑆ߩ㑐ㅪࠍ⷗ࠆߎߣ߇ߢ߈ࠆ‫ޕ‬࡮ㅪฬ⠪ߩ࡝ࡦࠢࠍߚߤࠆߎߣߦࠃࠅ⎇ⓥ⠪㑆ߩ㑐ㅪࠍ⷗ࠆߎߣ߇ߢ߈ࠆ‫ޕ‬(d) ⺰ᢥߩ pdf ࠕ࠶ࡊࡠ࡯࠼ᯏ⢻

(d)࡮
⺰ᢥߩ
pdf ࠕ࠶ࡊࡠ࡯࠼ᯏ⢻⺰ᢥᧄᢥߩ
pdf ࠍࠕ࠶ࡊࡠ࡯࠼ߒߡ⫾Ⓧߔࠆߎߣߢ‫⪺ޔ‬૞ᮭ⊛ߦน⢻ߥ⺰ᢥߦ㑐ߒߡߪ‫ޔ‬࡮ ⺰ᢥᧄᢥߩ
pdf ࠍࠕ࠶ࡊࡠ࡯࠼ߒߡ⫾Ⓧߔࠆߎߣߢ‫⪺ޔ‬૞ᮭ⊛ߦน⢻ߥ⺰ᢥߦ㑐ߒߡߪ‫ޔ‬⺰ᢥᧄᢥࠍ౏㐿ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬ߘߩ㓙‫⪺ޔ‬૞ᮭߩ್ᢿߦ㑐ߒߡߪቇදળᲤߦ⇣ߥࠆ߇‫ޔ‬⺰ᢥᧄᢥࠍ౏㐿ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬ߘߩ㓙‫⪺ޔ‬૞ᮭߩ್ᢿߦ㑐ߒߡߪቇදળᲤߦ⇣ߥࠆ߇‫ޔ‬ߢ߈ࠆߛߌᄙߊߩቇදળ஥ߩኻᔕࠍᛠីߒ‫ޔ‬น⢻ߥ߽ߩࠍࠪࠬ࠹ࡓ஥ߢ್ᢿߒߡ౏㐿ߔࠆߢ߈ࠆߛߌᄙߊߩቇදળ஥ߩኻᔕࠍᛠីߒ‫ޔ‬น⢻ߥ߽ߩࠍࠪࠬ࠹ࡓ஥ߢ್ᢿߒߡ౏㐿ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬࡮ ߎߣ߇ߢ߈ࠆ‫ޕ‬ࠕ࠶ࡊࡠ࡯࠼ߐࠇߚpdfߦኻߒߡ‫ޔ‬ឭଏߔࠆ⸃ᨆᯏ⢻ࠍㆡ↪ߔࠆߎߣߢ‫⺰ޔ‬ᢥ࠲ࠗ࠻࡞߿࡮ ࠕ࠶ࡊࡠ࡯࠼ߐࠇߚpdfߦኻߒߡ‫ޔ‬ឭଏߔࠆ⸃ᨆᯏ⢻ࠍㆡ↪ߔࠆߎߣߢ‫⺰ޔ‬ᢥ࠲ࠗ࠻࡞߿
⪺⠪ᖱႎࠍ⥄േ᛽಴ߔࠆߎߣ߇ߢ߈‫౉ޔ‬ജߩഭജࠍ೥ᷫߢ߈ࠆ‫ޕ‬⪺⠪ᖱႎࠍ⥄േ᛽಴ߔࠆߎߣ߇ߢ߈‫౉ޔ‬ജߩഭജࠍ೥ᷫߢ߈ࠆ‫ޕ‬(e) ᏷ᐢ޿಴ജᒻᑼ(e)࡮
᏷ᐢ޿಴ജᒻᑼ
⫾Ⓧߐࠇߚ⺰ᢥᖱႎ╬ߪ‫ޔ‬ᄖㇱᬌ⚝↪ࡍ࡯ࠫߩ HTML ᒻᑼߛߌߢߥߊ‫ޔ‬CSV ߿ BibTeX

࡮ ⫾Ⓧߐࠇߚ⺰ᢥᖱႎ╬ߪ‫ޔ‬ᄖㇱᬌ⚝↪ࡍ࡯ࠫߩHTML ᒻᑼߛߌߢߥߊ‫ޔ‬CSV ߿ BibTeX╬ߩ᭽‫ߥޘ‬ᒻᘒߩ಴ജ߇น⢻ߢ޽ࠅ‫⎇ࠍࠄࠇߘޔ‬ⓥ⠪⥄りߩ↳⺧ᦠ߿ႎ๔ᦠߩᬺ❣৻ⷩߦ╬ߩ᭽‫ߥޘ‬ᒻᘒߩ಴ജ߇น⢻ߢ޽ࠅ‫⎇ࠍࠄࠇߘޔ‬ⓥ⠪⥄りߩ↳⺧ᦠ߿ႎ๔ᦠߩᬺ❣৻ⷩߦ೑↪ߔࠆߎߣ߇ߢ߈ࠆ‫ߦ↪⺧↳⾌⎇⑼ޕ‬ᬺ❣ࠍㆬᛯߒ‫ޔ‬rtf ߢ಴ജߔࠆᯏ⢻߽஻߃ߡ޿ࠆ‫ޕ‬ߢ಴ജߔࠆᯏ⢻߽஻߃ߡ޿ࠆ‫ޕ‬࡮ ೑↪ߔࠆߎߣ߇ߢ߈ࠆ‫ߦ↪⺧↳⾌⎇⑼ޕ‬ᬺ❣ࠍㆬᛯߒ‫ޔ‬rtfౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߦ߅޿ߡ‫ޔ‬ᬌ⚝᧦ઙࠍᜰቯߒߚᬌ⚝⚿ᨐߩࡍ࡯ࠫࠍ⎇ⓥ⠪ߩࡍ࡯ࠫ࡮ ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߦ߅޿ߡ‫ޔ‬ᬌ⚝᧦ઙࠍᜰቯߒߚᬌ⚝⚿ᨐߩࡍ࡯ࠫࠍ⎇ⓥ⠪ߩࡍ࡯ࠫ߆ࠄ࡝ࡦࠢߔࠆߎߣߢ‫ᦨࠄ߆ߎߘޔ‬ᣂߩᬺ❣ࠍ⊒ାߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬߆ࠄ࡝ࡦࠢߔࠆߎߣߢ‫ᦨࠄ߆ߎߘޔ‬ᣂߩᬺ❣ࠍ⊒ାߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬

5
5



    ࿑ 0.4 ⎇ⓥቶࡍ࡯ࠫ಴ജ଀          ࿑ 0.5 GSIC ࡍ࡯ࠫ಴ജ଀    ࿑ 0.4 ⎇ⓥቶࡍ࡯ࠫ಴ജ଀          ࿑ 0.5 GSIC ࡍ࡯ࠫ಴ജ଀ ࡮ Web ࠨ࡯ࡆࠬࠍ↪޿ߡઁߩ Web ࠨࠗ࠻ߣߩㅪ៤߽น⢻ߢ޽ࠅ‫⎇ޔ‬ⓥ⠪⥄りߩ⎇ⓥቶߩ
࡮ Webࠨ࡯ࡆࠬࠍ↪޿ߡઁߩ Webࠨࠗ࠻ߣߩㅪ៤߽น⢻ߢ޽ࠅ‫⎇ޔ‬ⓥ⠪⥄りߩ⎇ⓥቶߩ
Web ࡍ࡯ࠫ‫߿❱⚵ߪ޿ࠆ޽ޔ‬GCOE╬ߩࡊࡠࠫࠚࠢ࠻ߩ Web ࡍ࡯ࠫ߆ࠄߩ಴ജ߽น⢻Webࡍ࡯ࠫ‫߿❱⚵ߪ޿ࠆ޽ޔ‬GCOE ╬ߩࡊࡠࠫࠚࠢ࠻ߩ Web ࡍ࡯ࠫ߆ࠄߩ಴ജ߽น⢻ߢ޽ࠆ‫ߩߘޕ‬႐ว߽
T2R2 ਄ߢߩᦝᣂ߇෻ᤋߐࠇࠆߛߌߢߥߊ‫ޔ‬୘‫ߚߒ࠭ࠗࡑ࠲ࠬࠞߦޘ‬ߢ޽ࠆ‫ߩߘޕ‬႐ว߽
T2R2 ਄ߢߩᦝᣂ߇෻ᤋߐࠇࠆߛߌߢߥߊ‫ޔ‬୘‫ߚߒ࠭ࠗࡑ࠲ࠬࠞߦޘ‬಴ജࡍ࡯ࠫࠍ↪ᗧߔࠆߎߣ߇น⢻ߣߥࠆ‫ޕ‬࿑
0.4 ߪ‫⎇ޔ‬ⓥቶߩࡍ࡯ࠫ߆ࠄ಴ജߒߚ଀ߢ‫ޔ‬಴ജࡍ࡯ࠫࠍ↪ᗧߔࠆߎߣ߇น⢻ߣߥࠆ‫ޕ‬࿑
0.4 ߪ‫⎇ޔ‬ⓥቶߩࡍ࡯ࠫ߆ࠄ಴ജߒߚ଀ߢ‫ޔ‬
ᬺ⒳೎Ფ߿ᐕᲤߩ㗅⇟ࠍᄌᦝߢ߈ࠆࠃ߁ߥࠞࠬ࠲ࡑࠗ࠭߇ߐࠇߡ޿ࠆ‫ޔߚ߹ޕ‬࿑
0.5 ߪ‫ޔ‬
ᬺ⒳೎Ფ߿ᐕᲤߩ㗅⇟ࠍᄌᦝߢ߈ࠆࠃ߁ߥࠞࠬ࠲ࡑࠗ࠭߇ߐࠇߡ޿ࠆ‫ޔߚ߹ޕ‬࿑
0.5 ߪ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩࡔࡦࡃ࡯ోຬಽߩᬺ❣ࠍ߹ߣ߼ߡ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩ
Webቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩࡔࡦࡃ࡯ోຬಽߩᬺ❣ࠍ߹ߣ߼ߡ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩ
Webࡍ࡯ࠫ߆ࠄ಴ജߒߡ޿ࠆ଀ߢ޽ࠆ‫ ߩࠫ࡯ࡍࠇߙࠇߘޕ‬URL ߪ‫ޔ‬ࡍ࡯ࠫ߆ࠄ಴ജߒߡ޿ࠆ଀ߢ޽ࠆ‫ߩࠫ࡯ࡍࠇߙࠇߘޕ‬URL ߪ‫ޔ‬ ⎇ⓥቶࡍ࡯ࠫ಴ജ଀㧦http://yokota-www.cs.titech.ac.jp/t2r2/publicationlist.cgi
 ⎇ⓥቶࡍ࡯ࠫ಴ജ଀㧦http://yokota-www.cs.titech.ac.jp/t2r2/publicationlist.cgi
GSIC ࡍ࡯ࠫ಴ജ଀㧦http://www.gsic.titech.ac.jp/cgi-bin/publicationlist.cgiߢ޽ࠆ‫ޕ‬GSIC ࡍ࡯ࠫ಴ജ଀㧦http://www.gsic.titech.ac.jp/cgi-bin/publicationlist.cgi
࡮ ߢ޽ࠆ‫ޕ‬Web ࠨ࡯ࡆࠬᯏ⢻ታ⃻ߩߚ߼ߦ‫ޔ‬ቇౝ౉ജ✬㓸↪ࡍ࡯ࠫ߆ࠄ Perl࡮ Webࠨ࡯ࡆࠬᯏ⢻ታ⃻ߩߚ߼ߦ‫ޔ‬ቇౝ౉ജ✬㓸↪ࡍ࡯ࠫ߆ࠄ Perlࡦ࠻ࠨࡦࡊ࡞ࠍឭଏߒߡ޿ࠆ‫ޕ‬

ߣ PHP
ߣ PHP

ߩࠢ࡜ࠗࠕ
ߩࠢ࡜ࠗࠕ

ࡦ࠻ࠨࡦࡊ࡞ࠍឭଏߒߡ޿ࠆ‫ޕ‬(f) ৻᜝ࠛࠢࠬࡐ࡯࠻࡮ࠗࡦࡐ࡯࠻ᯏ⢻(f)࡮
৻᜝ࠛࠢࠬࡐ࡯࠻࡮ࠗࡦࡐ࡯࠻ᯏ⢻ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߩ Web ࠗࡦ࠲ࡈࠚ࡯ࠬࠍ↪޿ߚ౉ജߛߌߢߥߊ‫ߦ࡞ࠞ࡯ࡠޔ‬૞ᚑ࡮ ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߩWeb ࠗࡦ࠲ࡈࠚ࡯ࠬࠍ↪޿ߚ౉ജߛߌߢߥߊ‫ߦ࡞ࠞ࡯ࡠޔ‬૞ᚑߒߚ࠲ࡉ඙ಾࠅᒻᑼߩࡈࠔࠗ࡞ࠍ૶ߞߡ৻᜝ߒߡ౉ജߔࠆߎߣ߽น⢻ߣߥߞߡ޿ࠆ‫ޕ‬߹ߚ‫ޔ‬ߒߚ࠲ࡉ඙ಾࠅᒻᑼߩࡈࠔࠗ࡞ࠍ૶ߞߡ৻᜝ߒߡ౉ജߔࠆߎߣ߽น⢻ߣߥߞߡ޿ࠆ‫ޕ‬߹ߚ‫ޔ‬✬㓸↪ߦో૕ࠍ৻᜝ߒߡࠛࠢࠬࡐ࡯࠻ߔࠆߎߣ߽น⢻ߢ޽ࠆ‫ߚࠇߐ࠻࡯ࡐࠬࠢࠛޔ߅ߥޕ‬✬㓸↪ߦో૕ࠍ৻᜝ߒߡࠛࠢࠬࡐ࡯࠻ߔࠆߎߣ߽น⢻ߢ޽ࠆ‫ߚࠇߐ࠻࡯ࡐࠬࠢࠛޔ߅ߥޕ‬ౝኈߩࠦࡦ࠹ࡦ࠷ ID ࠍᄌᦝߒߥߌࠇ߫㊀ߨᦠ߈ߐࠇ‫ ࠷ࡦ࠹ࡦࠦޔ‬ID ࠍᜰቯߒߥߌࠇ߫೎

ౝኈߩࠦࡦ࠹ࡦ࠷
ID ࠍᄌᦝߒߥߌࠇ߫㊀ߨᦠ߈ߐࠇ‫ ࠷ࡦ࠹ࡦࠦޔ‬ID ࠍᜰቯߒߥߌࠇ߫೎
ࠦࡦ࠹ࡦ࠷ߣߒߡᛒࠊࠇࠆ‫ޕ‬ࠦࡦ࠹ࡦ࠷ߣߒߡᛒࠊࠇࠆ‫ޕ‬(g) ㊀ⶄ⺰ᢥᬌ಴࡮ࡑ࡯ࠫᯏ⢻(g)࡮
㊀ⶄ⺰ᢥᬌ಴࡮ࡑ࡯ࠫᯏ⢻หߓ⺰ᢥࠍ㊀ⶄߒߡ⊓㍳ߒߥ޿ࠃ߁ߦ㊀ⶄ⺰ᢥࠍᬌ಴ߔࠆᯏ⢻ߣ‫ޔ‬㊀ⶄߒߚ႐วߦᔅⷐߥ࡮ หߓ⺰ᢥࠍ㊀ⶄߒߡ⊓㍳ߒߥ޿ࠃ߁ߦ㊀ⶄ⺰ᢥࠍᬌ಴ߔࠆᯏ⢻ߣ‫ޔ‬㊀ⶄߒߚ႐วߦᔅⷐߥ
ᖱႎࠍࡑ࡯ࠫߔࠆᯏ⢻ࠍឭଏߒߡ޿ࠆ‫ޕ‬ᖱႎࠍࡑ࡯ࠫߔࠆᯏ⢻ࠍឭଏߒߡ޿ࠆ‫ޕ‬(h) ઍℂ౉ജᯏ⢻(h)࡮
ઍℂ౉ജᯏ⢻
⹺⸽⹺นࠪࠬ࠹ࡓߣㅪ៤ߒઍℂੱࠍ⊓㍳ߒߡ߅ߊߎߣߢ‫ޔ‬ㅪฬ⠪ߢߥߊߡ߽⵬૒ຬ╬߇౉࡮ ⹺⸽⹺นࠪࠬ࠹ࡓߣㅪ៤ߒઍℂੱࠍ⊓㍳ߒߡ߅ߊߎߣߢ‫ޔ‬ㅪฬ⠪ߢߥߊߡ߽⵬૒ຬ╬߇౉ജ✬㓸ߔࠆߎߣ߽ߢ߈ࠆ‫ޕ‬ജ✬㓸ߔࠆߎߣ߽ߢ߈ࠆ‫ޕ‬663) ⃻⁁ߣ੹ᓟߩዷ㐿3) T2R2⃻⁁ߣ੹ᓟߩዷ㐿ࠪࠬ࠹ࡓߪ‫ޔ‬ᐔᚑ 18 ᐕᐲᧃ߆ࠄߩ⹜ⴕㆇ↪ᓟ‫ޔ‬ᐔᚑ 19 ᐕ 8 ᦬ 31 ᣣࠃࠅోቇㆇ↪ࠍ㐿ᆎ

T2R2 ࠪࠬ࠹ࡓߪ‫ޔ‬ᐔᚑ 18 ᐕᐲᧃ߆ࠄߩ⹜ⴕㆇ↪ᓟ‫ޔ‬ᐔᚑ 19 ᐕ 8 ᦬ 31 ᣣࠃࠅోቇㆇ↪ࠍ㐿ᆎߒߚ‫ߩߘޕ‬ᓟ߽‫ޔ‬᭽‫ߥޘ‬ᡷ⦟ࠍⴕ޿‫⃻ޔ‬࿷ߦ⥋ߞߡ޿ࠆ‫ߩߘޕ‬㑆‫ోޔ‬ቇࠍኻ⽎ߦᐕߦ
3 ࿁‫⺑ޔ‬᣿ߒߚ‫ߩߘޕ‬ᓟ߽‫ޔ‬᭽‫ߥޘ‬ᡷ⦟ࠍⴕ޿‫⃻ޔ‬࿷ߦ⥋ߞߡ޿ࠆ‫ߩߘޕ‬㑆‫ోޔ‬ቇࠍኻ⽎ߦᐕߦ
3 ࿁‫⺑ޔ‬᣿ળࠍ㐿௅ߒ‫ޔ‬೑↪ᣇᴺ╬ߩ๟⍮ࠍ࿑ߞߡ߈ߚ‫ޕ‬ળࠍ㐿௅ߒ‫ޔ‬೑↪ᣇᴺ╬ߩ๟⍮ࠍ࿑ߞߡ߈ߚ‫ޕ‬ߘࠇߦᓥߞߡ⊓㍳ઙᢙ߽㗅⺞ߦિ߮‫ޔ‬ᐔᚑ 20 ᐕᐲᧃᤨὐߢ‫ ߇࠲࡯࠺࠲ࡔޔ‬155,171 ઙ‫ᧄޔ‬ᢥߘࠇߦᓥߞߡ⊓㍳ઙᢙ߽㗅⺞ߦિ߮‫ޔ‬ᐔᚑ
20 ᐕᐲᧃᤨὐߢ‫߇࠲࡯࠺࠲ࡔޔ‬155,171 ઙ‫ᧄޔ‬ᢥ࠺࡯࠲߇
934 ઙߣߥߞߡ޿ࠆ‫ޕ‬࿖┙ᖱႎቇ⎇ⓥᚲ߇㓸⸘ߔࠆో࿖
101 ᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߩਛ

࠺࡯࠲߇
934 ઙߣߥߞߡ޿ࠆ‫ޕ‬࿖┙ᖱႎቇ⎇ⓥᚲ߇㓸⸘ߔࠆో࿖ 101 ᄢቇߩᯏ㑐࡝ࡐࠫ࠻࡝ߩਛ
ߢߪ‫ߦઁޔ‬ᛮ߈಴ߡᄙߊߩઙᢙࠍ⊓㍳ߒߡ߅ࠅ‫࠲࡯࠺࡝࠻ࠫࡐ࡝ోޔ‬ઙᢙߩ⚂
4 ಽߩ㧝ࠍ᧲Ꮏᄢ
ߢߪ‫ߦઁޔ‬ᛮ߈಴ߡᄙߊߩઙᢙࠍ⊓㍳ߒߡ߅ࠅ‫࠲࡯࠺࡝࠻ࠫࡐ࡝ోޔ‬ઙᢙߩ⚂ 4 ಽߩ㧝ࠍ᧲Ꮏᄢߩ࠺࡯࠲߇භ߼ߡ޿ࠆ‫⊓ߩߢ߹ࠇߎޕ‬㍳ઙᢙߩផ⒖‫ޔ‬⒳೎Ფߩ⊓㍳ઙᢙ‫ࠬ࠮ࠢࠕޔ‬ᢙ‫⺑ޔ‬᣿ળෳߩ࠺࡯࠲߇භ߼ߡ޿ࠆ‫⊓ߩߢ߹ࠇߎޕ‬㍳ઙᢙߩផ⒖‫ޔ‬⒳೎Ფߩ⊓㍳ઙᢙ‫ࠬ࠮ࠢࠕޔ‬ᢙ‫⺑ޔ‬᣿ળෳട⠪ᢙ╬ߩ⹦⚦ߪ‫ᧄޔ‬ᐕႎ 3-3 ߩᖱႎ⫾Ⓧᵴ↪ᵴേߩ㗄ࠍෳᾖߐࠇߚ޿‫ޕ‬ട⠪ᢙ╬ߩ⹦⚦ߪ‫ᧄޔ‬ᐕႎ
3-3 ߩᖱႎ⫾Ⓧᵴ↪ᵴേߩ㗄ࠍෳᾖߐࠇߚ޿‫ޕ‬
ᐔᚑ 20 ᐕᐲߦߪ‫ޔ‬ਥߦ․⸵ᖱႎߣඳ჻ቇ૏⺰ᢥߩ⊓㍳࡮ᬌ⚝ᯏ⢻ߩታ⃻ߣ‫ోޔ‬ᢥ౏㐿ߩߚ߼ߩᐔᚑ 20 ᐕᐲߦߪ‫ޔ‬ਥߦ․⸵ᖱႎߣඳ჻ቇ૏⺰ᢥߩ⊓㍳࡮ᬌ⚝ᯏ⢻ߩታ⃻ߣ‫ోޔ‬ᢥ౏㐿ߩߚ߼ߩᯏ⢻ࠍታ⃻ߒߚ‫⎇ޕ‬ⓥ⠪ߩ౉ജߩߚ߼ߩഭജࠍᭂജਅߍࠆߚ߼ߦ‫⸵․ޔ‬ᖱႎߪ↥ቇㅪ៤ᧄㇱ߇ᜬᯏ⢻ࠍታ⃻ߒߚ‫⎇ޕ‬ⓥ⠪ߩ౉ജߩߚ߼ߩഭജࠍᭂജਅߍࠆߚ߼ߦ‫⸵․ޔ‬ᖱႎߪ↥ቇㅪ៤ᧄㇱ߇ᜬߟᖱႎࠍ⊓㍳ߒ‫᧲ޔ‬Ꮏᄢ಴り⠪ߩඳ჻ቇ૏⺰ᢥᖱႎߪ㒝ዻ࿑ᦠ㙚ߩᜬߟᖱႎࠍ⊓㍳ߔࠆ‫ޔߚ߹ޕ‬ߟᖱႎࠍ⊓㍳ߒ‫᧲ޔ‬Ꮏᄢ಴り⠪ߩඳ჻ቇ૏⺰ᢥᖱႎߪ㒝ዻ࿑ᦠ㙚ߩᜬߟᖱႎࠍ⊓㍳ߔࠆ‫ޔߚ߹ޕ‬․⸵߿ቇ૏⺰ᢥ․᦭ߩᖱႎߦࠃࠆᬌ⚝߿‫ޔ‬ㅒߦ৻⥸⺰ᢥ࡮ቇ૏⺰ᢥ࡮․⸵ࠍ඙೎ߔࠆߎߣߥߊᮮ
․⸵߿ቇ૏⺰ᢥ․᦭ߩᖱႎߦࠃࠆᬌ⚝߿‫ޔ‬ㅒߦ৻⥸⺰ᢥ࡮ቇ૏⺰ᢥ࡮․⸵ࠍ඙೎ߔࠆߎߣߥߊᮮ
ᢿ⊛ߦᬌ⚝ߔࠆᯏ⢻ࠍታ⃻ߒߡ޿ࠆ‫ߩࠄࠇߎޕ‬ᯏ⢻ߪ‫ޔ‬ᐔᚑ 21 ᐕᐲ㐿ᆎ⋥ᓟߩࡃ࡯࡚ࠫࡦࠕ࠶ࡊ

ᢿ⊛ߦᬌ⚝ߔࠆᯏ⢻ࠍታ⃻ߒߡ޿ࠆ‫ߩࠄࠇߎޕ‬ᯏ⢻ߪ‫ޔ‬ᐔᚑ 21 ᐕᐲ㐿ᆎ⋥ᓟߩࡃ࡯࡚ࠫࡦࠕ࠶ࡊ
ߢ౏㐿ߐࠇࠆߎߣߦߥߞߡ޿ࠆ‫ޕ‬ߢ౏㐿ߐࠇࠆߎߣߦߥߞߡ޿ࠆ‫ޕ‬੹ᓟߪ‫⺰ޔ‬ᢥ࡮․⸵╬ߩᖱႎߛߌߢߥߊ‫⎇ޔ‬ⓥࠕࡇ࡯࡞ߩߚ߼ߩᖱႎ╬߽฽߼ߡ⫾Ⓧ౏㐿ߔࠆ੹ᓟߪ‫⺰ޔ‬ᢥ࡮․⸵╬ߩᖱႎߛߌߢߥߊ‫⎇ޔ‬ⓥࠕࡇ࡯࡞ߩߚ߼ߩᖱႎ╬߽฽߼ߡ⫾Ⓧ౏㐿ߔࠆߎߣࠍᬌ⸛ߒߡ޿ࠆ‫⎇ޔߚ߹ޕ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓߦ⫾Ⓧߐࠇߡ޿ࠆ⎇ⓥᬺ❣એᄖߩᖱႎ߿
OCWߎߣࠍᬌ⸛ߒߡ޿ࠆ‫⎇ޔߚ߹ޕ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓߦ⫾Ⓧߐࠇߡ޿ࠆ⎇ⓥᬺ❣એᄖߩᖱႎ߿OCWߦ⫾Ⓧߐࠇߡ޿ࠆᢎ⢒ᖱႎࠍਠೝߒߦߒߡᬌ⚝ߔࠆᯏ⢻ߩታ⃻߿‫ߦ࠼࡯ࡢ࡯ࠠޔ‬㑐ㅪߔࠆ⎇ⓥ⠪
ߦ⫾Ⓧߐࠇߡ޿ࠆᢎ⢒ᖱႎࠍਠೝߒߦߒߡᬌ⚝ߔࠆᯏ⢻ߩታ⃻߿‫ߦ࠼࡯ࡢ࡯ࠠޔ‬㑐ㅪߔࠆ⎇ⓥ⠪ߩ৻ⷩࠍឭ␜ߔࠆࠃ߁ߥᯏ⢻߽ᬌ⸛ਛߢ޽ࠆ‫⁁ߩࠬ࠮ࠢࠕޔߦࠄߐޕ‬ᴫ߿‫⊓ޔ‬㍳ߐࠇߚోᢥ࠺࡯
ߩ৻ⷩࠍឭ␜ߔࠆࠃ߁ߥᯏ⢻߽ᬌ⸛ਛߢ޽ࠆ‫⁁ߩࠬ࠮ࠢࠕޔߦࠄߐޕ‬ᴫ߿‫⊓ޔ‬㍳ߐࠇߚోᢥ࠺࡯
࠲ߩ࠳࠙ࡦࡠ࡯࠼రߩಽᨆࠍⴕ޿‫⎇ޔ‬ⓥ⠪ߦ᦭↪ߥᖱႎࠍࡈࠖ࡯࠼ࡃ࠶ࠢߔࠆߎߣ߽ᬌ⸛ߒߡ޿
࠲ߩ࠳࠙ࡦࡠ࡯࠼రߩಽᨆࠍⴕ޿‫⎇ޔ‬ⓥ⠪ߦ᦭↪ߥᖱႎࠍࡈࠖ࡯࠼ࡃ࠶ࠢߔࠆߎߣ߽ᬌ⸛ߒߡ޿
ࠆ‫ޕ‬
ࠆ‫ޕ‬
᧲Ꮏᄢߩߎࠇ߆ࠄߩ⎇ⓥࠍផㅴߐߖ‫ޔ‬ቇᄖߦࠕࡇ࡯࡞ߒߡ޿ߊߚ߼ߦ‫⎇ޔ‬ⓥ⠪ߦ㑐ߔࠆ᭽‫ߥޘ‬᧲Ꮏᄢߩߎࠇ߆ࠄߩ⎇ⓥࠍផㅴߐߖ‫ޔ‬ቇᄖߦࠕࡇ࡯࡞ߒߡ޿ߊߚ߼ߦ‫⎇ޔ‬ⓥ⠪ߦ㑐ߔࠆ᭽‫ߥޘ‬ᖱႎࠍ⊛⏕ߦ⫾Ⓧߒ‫᦭ޔ‬ലᵴ↪ߔࠆߎߣ߇߹ߔ߹ߔ㊀ⷐߦߥࠆߎߣߪ㑆㆑޿ߥ޿‫ᦝߦ߼ߚߩߘޕ‬ᖱႎࠍ⊛⏕ߦ⫾Ⓧߒ‫᦭ޔ‬ലᵴ↪ߔࠆߎߣ߇߹ߔ߹ߔ㊀ⷐߦߥࠆߎߣߪ㑆㆑޿ߥ޿‫ᦝߦ߼ߚߩߘޕ‬ߦᡷༀ࡮ᡷ⦟ࠍⴕߞߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬ߦᡷༀ࡮ᡷ⦟ࠍⴕߞߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬
T2R2 ࠪࠬ࠹ࡓߩᄖㇱᬌ⚝↪ࡍ࡯ࠫߪ‫᧲ޔ‬Ꮏᄢߩ࠻࠶ࡊࡍ࡯ࠫߩਅ⸥ߩࡃ࠽࡯ࠍࠢ࡝࠶ࠢߔࠆ
T2R2 ࠪࠬ࠹ࡓߩᄖㇱᬌ⚝↪ࡍ࡯ࠫߪ‫᧲ޔ‬Ꮏᄢߩ࠻࠶ࡊࡍ࡯ࠫߩਅ⸥ߩࡃ࠽࡯ࠍࠢ࡝࠶ࠢߔࠆ
ߎߣߢࠕࠢ࠮ࠬߢ߈߹ߔ‫ޕ‬ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߪ‫᧲ޔ‬Ꮏᄢࡐ࡯࠲࡞ߩㆬᛯ⢇ߩਛߦ޽ࠅ߹ߔ‫ޕ‬ߎߣߢࠕࠢ࠮ࠬߢ߈߹ߔ‫ޕ‬ౝㇱ౉ജ✬㓸↪ࡍ࡯ࠫߪ‫᧲ޔ‬Ꮏᄢࡐ࡯࠲࡞ߩㆬᛯ⢇ߩਛߦ޽ࠅ߹ߔ‫ޕ‬੹ᓟߩᡷༀߩߚ߼ߦ߽‫ޔ‬໧㗴ὐᜰ៰߿ᡷༀὐឭ᩺ࠍ߅ᓙߜߒߡ޿߹ߔߩߢ‫ޔ‬ਅ⸥ߩࠨࡐ࡯࠻↪
੹ᓟߩᡷༀߩߚ߼ߦ߽‫ޔ‬໧㗴ὐᜰ៰߿ᡷༀὐឭ᩺ࠍ߅ᓙߜߒߡ޿߹ߔߩߢ‫ޔ‬ਅ⸥ߩࠨࡐ࡯࠻↪
ࡔ࡯࡞ࠕ࠼࡟ࠬ߹ߢ㗂ߌࠆߣᐘ޿ߢߔ‫ޕ‬ࡔ࡯࡞ࠕ࠼࡟ࠬ߹ߢ㗂ߌࠆߣᐘ޿ߢߔ‫ޕ‬ࠨࡐ࡯࠻ࡔ࡯࡞ࠕ࠼࡟ࠬ㧦t2r2@libra.titech.ac.jpࠨࡐ࡯࠻ࡔ࡯࡞ࠕ࠼࡟ࠬ㧦t2r2@libra.titech.ac.jp

77࠻ࡇ࠶ࠢࠬ

657$#/' ਄ߩ਎⇇ᦨᄢⷙᮨߩ )27 ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣၮ⋚ߩታ⃻
⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷 ᧻ጟ ⡡
Cell[1], ClearSpeed[3], MD Grape[4]ߥߤߩࠕࠢ࠮࡜࡟࡯࠲ᛛⴚ߇ᤓ੹ᵈ⋡ࠍᶎ߮ߡ޿
ࠆ‫ࠍࡦࠦࡄࠬޕ‬฽߻ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓߦ߅ߌࠆࠕࠢ࠮࡜࡟࡯࡚ࠪࡦ⥄૕ߪ․ߦ⋡ᣂߒ޿ߎߣߢߪߥߊ‫ࠕࠖ࠺ࡔ࠴࡞ࡑޔ‬ಣℂ߿ࠣ࡜ࡈࠖ࠶ࠢࠬ‫ޔ‬I/O ߿ࡀ࠶࠻ࡢ࡯ࠢ‫ޔ‬ᥧภಣℂߥߤࠍㅢᏱߩ CPU ߩᄖㇱߩ․ᱶࡂ࡯࠼࠙ࠚࠕ߿ኾ↪ࡊࡠ࠮࠶ࠨߢⴕ߁ߎߣߪ᥉ㅢߢ޽ߞߚ‫ޕ‬ߒ߆ߒߥ߇ࠄ‫ޔ‬ᤓ੹ߩࠕࠢ࠮࡜࡟࡯࠲‫ ߦ․ޔ‬GPU(Graphics Processing Unit)[2]ߩࠣ࡜
ࡈࠖ࠶ࠢࠬએᄖߩ᳢↪ HPC(High Performance Computing)ࠕࠢ࠮࡜࡟࡯࠲ߣߒߡߩ೑↪
߳ߩᄙᄢߥࠆᵈ⋡ߪ‫ޔ‬GPU ߇᳢↪ߩࡊࡠ࠮࠶ࠨߣߒߡ㜞ᐲߥ⑼ቇᛛⴚ⸘▚߿‫ߦࠄࠇߘޔ‬㘃ߒߚ৻⥸ߩࠕࡊ࡝ࠤ࡯࡚ࠪࡦߦ߅ߌࠆ㜞⽶⩄ߥಣℂ---ࡆ࠺ࠝ࿶❗࡮࡝ࠕ࡞࠲ࠗࡓ↹௝ಣ
ℂ࡮ࠥ࡯ࡓߦ߅ߌࠆ‛ℂ⸘▚---ߥߤ߳ᐢߊ቟ଔߦㆡ↪ߢ߈ࠆᦼᓙߦ↱᧪ߔࠆ‫ޕ‬
2 ᐕㅪ⛯ߢᚒ߇࿖㧝૏ߣߥߞߚࠬ࡯ࡄࠦࡦࡇࡘ࡯࠲ TSUBAME1.0[5]ߪᐔᚑ 18 ᐕ 3 ᦬ߦ
GSIC(ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯)ߦ᭴▽࡮ዉ౉ߐࠇߚ߇‫ޔ‬GSIC ߢߪᦝߦ⛮⛯⊛ߦߘߩᕈ⢻ะ਄ߩ⎇ⓥ㐿⊒ߦദ߼ߡ߈ߚ‫ޕ‬ᒰೋ‫ޔ‬TSUBAME1.0 ߩࡇ࡯ࠢᕈ⢻ߪ 80 ࠹࡜ࡈࡠ࠶ࡊࠬᒝ‫ࠬޔ‬ࡄࠦࡦߩ਎⇇࡜ࡦࠠࡦࠣߢ޽ࠆ Top500 ߦ߅ߌࠆ Linpack ࡌࡦ࠴ࡑ࡯ࠢߩᕈ⢻ߪ 38.18 ࠹࡜ࡈࡠ࠶ࡊࠬ㧔Ფ⑽ 38.18 ళ࿁Ṷ▚㧕ߢ޽ࠅ‫ࡦࠦࡄࠬޔ‬਎⇇࡜ࡦࠠࡦࠣߩ Top500 ߢߪ 2006
ᐕ 6 ᦬ߦ߅޿ߡᚒ߇࿖࠻࠶ࡊ࡮਎⇇ 7 ૏ߦ࡜ࡦࠢࠗࡦߒߚ‫ߩߘޕ‬ᓟ߽ඨᐕߩᦝᣂߏߣߦᲤ
࿁ᕈ⢻ะ਄ࠍᨐߚߒߡ߈ߡ޿ࠆ߇‫ߩߘޔ‬ᕈ⢻ะ਄ߩᄢ߈ߥේേജߪೋᦼߩࠕࠢ࠮࡜࡟࡯࠲
ߢ޽ࠆ ClearSpeed ߩᵴ↪ࠍ⎇ⓥ㐿⊒ߒߚߣߎࠈ߇ᄢ߈߆ߞߚ[6]‫ޔߚ߹ޕ‬නߦᕈ⢻ࠍ⹶ࠆߛߌߢߥߊ‫৻ޔ‬ජੱએ਄ߩ࡙࡯ࠩࡌ࡯ࠬࠍ߽ߜ‫ޔߟ߆ޔ‬ᄢቇߥߤߩቇⴚ⎇ⓥߛߌߢߥߊડ
ᬺ೑↪ߦ߅޿ߡ߽ᚒ߇࿖ߢ޿ߜᣧߊ㐿᡼ߒߡ߈ߚ‫ߩߡߒߣޠࡦࠦࡄࠬߩߥࠎߺޟ‬਎⇇⊛ߥታ❣ࠍᜬߟߦ⥋ߞߚ‫ޕ‬ߒ߆ߒߥ߇ࠄ‫ޔ‬TSUBAMEߩ 2 ᐕඨߩታ㓙ߩㆇ↪ߦࠃࠅ‫᧲ߦ․ޔ‬Ꮏᄢߦߣߞߡ㊀ⷐߥᵹ૕࡮᭴ㅧ♽ߩࠪࡒࡘ࡟࡯࡚ࠪࡦ߿‫ࡊࠕߩ♽ࠬࡦࠛࠗࠨࡈࠗ࡜ߩߤߥ⾰ࠢࡄࡦ࠲߿ࡓࡁࠥޔ‬࡝ࠤ࡯࡚ࠪࡦߥߤߦ߅޿ߡ‫ޔ‬TSUBAMEߩኈ㊂ࠍ਄࿁ࠆ㔛ⷐ߇޽ࠆߎߣ߽᣿ࠄ߆ߦߥࠅ‫ޔ‬․ߦ㜞޿ࡔࡕ࡝ࡃࡦ࠼᏷ࠍⷐ᳞ߔࠆᵹ૕⸘▚ߥߤߦ߅޿ߡߪ‫ߩߘޔ‬ᕈ⢻෸߮ኈ㊂ߩਇ⿷߇㗼⪺ߢ޽ߞߚ‫ߦߢߔޔࠄ߇ߥߒ߆ߒޕ‬TSUBAMEߪ৻ਁCPUࠦࠕࠍ⿥߃‫ޔ‬1 ࡔࠟࡢ࠶࠻ࠍ
⿥߃ࠆ㔚ജࠍᶖ⾌ߔࠆᚒ߇࿖ᦨᄢ⚖ߩࠬࡄࠦࡦߢ޽ࠅ‫ޔ‬ㅢᏱߩCPUߩߺߢߩᄢ᏷ߥᕈ⢻ะ਄ߪ࿎㔍ߥ⁁ᴫߢ޽ߞߚ‫ޕ‬ClearSpeedߩㅊട߽ 2007 ᐕᐲߦⴕߞߚ߇‫ޔ‬ㅢᏱߩCPUએ਄ߦ⸘▚ߦኻߒߡࡃࡦ࠼᏷߇ᰳ⪭ߒߡ߅ࠅ‫ޔ‬ኒⴕ೉♽ߩࠕࡊ࡝ࠤ࡯࡚ࠪࡦએᄖߢߪߘߩ↪ㅜߪ㒢ࠄࠇߡ޿ߚ‫ߥ߁ࠃߩߎޔߢߎߘޕ‬੐ᘒࠍ⷗⿧ߒߡᢙᐕ᧪ߘߩHPCᔕ↪ࠍ⎇ⓥߒߡ߈ߚGPU
ࠍᄢⷙᮨߦ↪޿‫ޔ‬㜞ࡃࡦ࠼᏷ࠕ࡯ࠠ࠹ࠢ࠴ࡖߢ޽ࠆGPU߇ᓧᗧߣߔࠆ⸘▚㗔ၞ߿‫ઁߩߘޔ‬ߩ৻⥸⸘▚㗔ၞߦ߅޿ߡ‫ޔ‬ᄢ᏷ߥᕈ⢻ะ਄ࠍᨐߚߔߎߣࠍ⸘↹ߒߚ(࿑ 0.6)‫ޕ‬

8ౕ૕⊛ߦߪ‫ޔ‬ᐔᚑ 19 ᐕᐲᧃ߹ߢߩTSUBAME1.1 ߦ‫ޟ‬㜞ㅦࡈ࡯࡝ࠛᄌ឵Ṷ▚ടㅦⵝ⟎‫ޠ‬
ߣߒߡᄢ㊂ߩGPUࠍㅊടߒ‫ޔ‬ᄢ᏷ߥ㔚ജჇടߥߒߦ‫࠼ࡦࡃޔ‬᏷ࠍⷐ᳞ߔࠆታࠕࡊ࡝ࠤ࡯࡚ࠪ
ࡦᕈ⢻ࠍਛᔃߦჇᒝࠍߪ߆ࠆ‫ޟ‬TSUBAME1.2‫ࠍޠ‬᭴▽ߒߚ‫ߪ↹⸘ߩߎޕ‬਎⇇᦭ᢙߩGPUࡌࡦ࠳࡯ߢ޽ࠆ☨࿖NVIDIA␠ࠍߪߓ߼NEC, ࠨࡦࡑࠗࠢࡠࠪࠬ࠹ࡓ࠭, ELSAߥߤߣߩ౒ห
૞ᬺߢታ⃻ߒߚ߽ߩߢ޽ࠆ‫ޕ‬ㄭᐕ‫ޔ‬GPUߩHPCߦ߅ߌࠆዉ౉଀ߪߔߢߦઁᚲߦ޽ߞߚ߇‫ޔ‬߶ߣࠎߤߩ႐วߪࡏ࡯࠼ᢙᨎ㨪ᢙචᨎ⒟ᐲߩዊਛⷙᮨߩ߽ߩߢ‫ߟ߆ޔ‬ૐଔᩰߢኾ↪೑↪⊛ߥዊਛⷙᮨߩࠢ࡜ࠬ࠲⸘▚ᯏߦⵝ⌕ߐࠇߡ޿ࠆ߽ߩߢ޽ߞߚ‫ߦࠄࠇߘޕ‬ኻߒ‫ࡓ࠹ࠬࠪᧄޔ‬ߪࠕ࠽࠙ࡦࠬߐࠇߚ߫߆ࠅߩHPCะߌߢߪᦨㅦߩGPUߢ޽ࠆNVIDIA Tesla S1070 ࡙࠾࠶࠻ 170 บ࡮(ਛりߪNVIDIA Tesla 10P GPUࠞ࡯࠼߇ 680 ᨎ)ߦߡ᭴ᚑߐࠇ‫ޔ‬10 ᦬ᧃߦ
TSUBAME਄ߦⵝ⌕࡮ㆇ↪ዷ㐿ߒߚ(࿑ 0.7)‫ޔࠅࠃߦࠇߎޕ‬TSUBAME+ࠕࠢ࠮࡜࡟࡯࠲ߩ
ว▚ߩࡇ࡯ࠢᕈ⢻ߪන♖ᐲߢ 900 ࠹࡜ࡈࡠ࠶ࡊࠬᒙ‫ޔ‬୚♖ᐲߢߪ 170 ࠹࡜ࡈࡠ࠶ࡊࠬᒙߣ‫ޔ‬ࠝ࡝ࠫ࠽࡞ߩTSUBAMEߣᲧセߔࠆߣ୚♖ᐲߢ߽ੑ୚⒟ᐲߣߥߞߚ㧚ߒ߆߽‫⸳ߩࠄࠇߘޔ‬⟎㕙Ⓧߪᄢᄌዋߥ޿߽ߩߢ(࿑ 0.8)‫ߟ߆ޔ‬ᶖ⾌㔚ജ߽TSUBAMEో૕ߩ 1/8㨪1/10 ⒟ᐲߢ޽ࠆ‫ޕ‬ᓟㅀߔࠆࠃ߁ߦታ㓙ߩࠕࡊ࡝ࠤ࡯࡚ࠪࡦߢ߽‫ޔ‬႐วߦࠃߞߡߪߘࠇએ਄ߩࠬࡇ࡯࠼ࠕ࠶
ࡊࠍ⷗ߖߡ޿ࠆ‫ޕ‬੹࿁ߩჇ⸳ߪ GPU ߩⷙᮨ࡮น⢻ߥ⸘▚㗔ၞ࡮ߘߩ 1 ජੱએ਄ߩ࡙࡯ࠩߦࠃࠆ౒ห೑↪ߥߤ‫߽ߡߞߣࠍࠇߤޔ‬㘃ࠍ⷗ߥ޿਎⇇ೋߩ⹜ߺߢ޽ࠅ‫⚿ޔ‬ᨐߣߒߡࠝ࡯ࡊࡦࠨࠗࠛࡦࠬߩࠬ
ࡄࠦࡦߣߒߡߪ਎⇇ᦨᄢᢙߩ GPU ࠍⵝ஻ߒߚ߽ߩߣߥߞߚ‫੹ޕ‬ᓟ‫᧲ޔ‬Ꮏᄢ/GSIC ߪ NVIDIA,
NEC, ࠨࡦࡑࠗࠢࡠࠪࠬ࠹ࡓ࠭‫ޔ߿࠻ࡈ࠰ࡠࠢࠗࡑޔ‬PGI (The Portland Group)ߥߤߩઁ
ߩડᬺ‫ߪߦࠄߐޔ‬ᄖㇱߩᄢቇ࡮⎇ⓥᯏ㑐ߣදജߒ‫ޔ‬GPU ะߌߩᄢⷙᮨ⸘▚ߩ⎇ⓥ㐿⊒ࠍࠕࠣ࡟࠶ࠪࡉߦⴕߞߡ޿ߊߣ౒ߦ‫ߩߘޔ‬ᢎ⢒߿᥉෸ߦ߽ദ߼ߡ޿ߊᚲሽߢ޽ࠆ㧦xቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ࠍਛᔃߣߒߡ HPC ߦ߅ߌࠆ⎇ⓥ㐿⊒ࡊࡠࠫࠚࠢ࠻ࠍㅴ߼ߡ޿ࠆ‫ޕ‬JST ߩᚢ⇛⊛ഃㅧ⎇ⓥផㅴ੐ᬺ(CREST)ߦ߅ߌࠆ‫ޟ‬ULP-HPC: ᰴ਎ઍ࠹ࠢࡁࡠࠫߩࡕ
࠺࡞ൻ࡮ᦨㆡൻߦࠃࠆ⿥ૐᶖ⾌㔚ജࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ‫ޔߪߢޠ‬᧻ጟࠍࡊࡠࠫࠚࠢ࠻࡝࡯࠳࡯ߣߒߡ‫੹ޔ‬ᓟ 10 ᐕ㑆ߢ㔚ജᕈ⢻Ყࠍ 1000 ୚ะ਄ߐߖࠆ
ߎߣࠍ⋡ᮡߦ‫ⶄޔ‬ᢙߩᄢቇߩ⎇ⓥࠣ࡞࡯ࡊ߇วหߢ⎇ⓥࠍⴕߞߡ߅ࠅ‫ߩߘޔ‬ਛߢ߽ࠕࠢ࠮࡜࡟࡯࠲ߦࠃࠆ㔚ജᕈ⢻Ყߩะ਄߇⋡ᮡ㆐ᚑߦᄢ޿ߦነਈߔࠆ‫࠻ࠢࠚࠫࡠࡊޕ‬ౝߢ᭽‫⎇ࠕࠚ࠙࠻ࡈ࠰߿ࡓ࠭࡝ࠧ࡞ࠕߥޘ‬ⓥ߇ⴕࠊࠇߡ޿ࠆ߇‫ޔ‬FFT ߦ߅޿ߡߪᣂߚߥ
GPU ะߌߩࠕ࡞ࠧ࡝࠭ࡓߩ㐿⊒ߦࠃࠅ‫ޔ‬TSUBAME ਄ߩᓥ᧪ߩ CPU ߦᲧߴߡ‫ޔ‬ᢙච୚ߩㅦᐲะ਄ࠍᓧࠆߎߣ߇ߢ߈ߚ [7]‫ޔߚ߹ޕ‬ᵤᵄߥߤߩᄢⷙᮨߥᵹ૕⸘▚ᵹ૕ࠕࡊ࡝
ࠤ࡯࡚ࠪࡦߢߩ GPU ߦࠃࠆടㅦߣ⋭㔚ജൻߦ㑐ߒ‫ߩ࡯࠲ࡦ࠮ᧄޔ‬㕍ᧁ⎇ⓥቶ߇ᄢ߈ߥ
ᚑᨐࠍ޽ߍߡ޿ࠆ‫☨ޔߚ߹ޕ‬࿖ࡑࠗࠢࡠ࠰ࡈ࠻␠ߣߩ౒ห⎇ⓥߢߪ‫ޔ‬ᖱႎℂᎿ࡮⑺ጊ
⎇ⓥቶ߇ഃ⮎ߦ߅ߌࠆోኻోߩ࠲ࡦࡄࠢ⾰㑆ߩ࠼࠶ࠠࡦࠣ⸘▚ࠍ GPU ߢᄢ᏷ߦടㅦ
ߔࠆ⎇ⓥࠍㅴ߼ߡ޿ࠆ‫ޕ‬9x߹ߚ‫ޔ‬ᚒ‫߇ޘ‬એ೨ࠃࠅ㐿⊒ߒߡ޿ߚTSUBAME↪ߩ⇣ᯏ⒳Linpackࠕ࡞ࠧ࡝࠭ࡓࠍ
GPU ะ ߌ ߦ ᡷ ⦟ ߒ ‫ ޔ‬ว ⸘ 4 ߟ ߩ ⇣ ߥ ࠆ CPU ࡮ GPU(AMD Opteron, Intel
Xeon(Harpertown), ClearSpeed, NVIDIA Tesla)ߢേ૞ߔࠆLinpackࡊࡠࠣ࡜ࡓࠍ㐿⊒ߒߚ‫ޕ‬10 ᦬ߩᕈ⢻⸘᷹ߩ⚿ᨐ‫ޔ‬77.48 ࠹࡜ࡈࡠ࠶ࡊࠬߣ‫ޔ‬TSUBAMEߩೋᦼߩ 2 ୚ߩᄢ᏷ߥᕈ⢻ะ਄ࠍᨐߚߒ‫ޔ‬2008 ᐕ 11 ᦬ߩTop500 ߢߪᚒ߇࿖ 2 ૏ߩ࿾૏ࠍขࠅᚯߒ
ߚ(࿑ 0.9)‫ޕ‬xGPU ࠍ↪޿ߚ↥ቇㅪ៤⎇ⓥ૕೙ࠍ࿖ౝᄖߩ৻ᵹડᬺߣᚑ┙ߐߖߚ‫ࡠࠢࠗࡑ☨ߦߢߔޕ‬࠰ࡈ࠻␠ߣߩ౒ห⎇ⓥߪㅀߴߚ߇‫ᧄޔ‬ᐕᐲߪߐࠄߦ NEC ߣ‫ޔ‬GPU ߩⶄᢙࡁ࡯࠼ߦ߹
ߚ߇ࠆ⸘▚ߦ㑐ߔࠆ౒ห⎇ⓥࠍ GSIC࡮㕍ᧁ⎇ⓥቶ߇ㆀⴕߒߚ‫ޔߚ߹ޕ‬NVIDIA ␠ߣߩ౒ห⎇ⓥߪḰ஻ਛߢ޽ࠆ߇‫ޔ‬2008 ᐕ 12 ᦬ 2 ᣣߦ⬿೨Ꮏᬺળ߿ GCOE‫▚⸘ޟ‬਎⇇ⷰ‫ޠ‬ߥߤߣߩวหਥ௅ߢ‫ޔ‬NVIDIA ߩ CEO ߢ޽ࠆ Jensen Huang ᳁ߩ GPU ߦ㑐ߔࠆ⻠Ṷળࠍ௅ߒ‫ޔ‬ቇౝᄖ߆ࠄ 500 ฬⷙᮨߩෳട⠪ࠍᓧߚ‫ޕ‬x

GPU ⅣႺߩᢎ⢒࡮᥉෸ᵴേ߽޿ߊߟ߆ⴕߞߚ‫ ࡞ࡃ࡯ࡠࠣޔߕ߹ޕ‬COE‫▚⸘ޟ‬਎⇇ⷰ‫ޠ‬ߣߩㅪ៤ߢ‫ޔ‬NVIDIA ␠ߩ GPU ↪ߩਗ೉ࡊࡠࠣ࡜ࡒࡦࠣ⸒⺆ߢ޽ࠆ CUDA ߩ࡟ࠢ࠴ࡖ࡯ࠍᄢቇ㒮ะߌߩ᝼ᬺߩ৻ㇱߣߒߡⴕߞߚ‫⚻ߩߎޕ‬㛎ࠍరߦ‫᧪ޔ‬ᐕᐲߪࠕࠢ࠮࡜
࡟࡯࠲/CUDA ߩ⻠⠌ળࠍ GSIC ߢቯᦼ⊛ߦ߽௅ߔ੍ቯߢ޽ࠆ‫᧲ޔߦࠄߐޕ‬Ꮏᄢߪㆊ෰
ࠃࠅ㜞ᩞ↢ߩࠬࡄࠦࡦࠦࡦ࠹ࠬ࠻ࠍචᢙᐕߦᷰࠅਥ௅ߒߡ߈ߚ߇‫⚻ߩࠄࠇߘޔ‬㛎ࠍ↢߆ߒ‫ޔ‬ᚒ߇࿖ೋߩ GPU ࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻ߩ㐿௅ࠍᖱႎಣℂቇળߩਥ௅ߣߒߡ
ឭ᩺࡮2009 ᐕ 1 ᦬ࠃࠅ᧻ጟࠍࠦࡦ࠹ࠬ࠻ᆔຬ㐳ߣߒߡࡎࠬ࠹ࠖࡦࠣߒߚ‫ޔߦ․ޕ‬ታ㓙ߩࡊࡠࠣ࡜ࡓ㐿⊒ߩ৻ㇱ‫ߦ߮ࠄߥޔ‬ክᩏߪታ㓙ߦ TSUBAME ਄ߩ Tesla ߢⴕࠊࠇߚ‫ޕ‬ߎߩ⚿ᨐߪ 5 ᦬ߩᖱႎಣℂቇળߩቇળ‫ޟ‬SACSIS‫⴫࡮⴫౏ߢޠ‬ᓆᑼ╬ࠍⴕ߁੍ቯߢ޽ࠆ‫ޕ‬xߎࠇࠄߩ⎇ⓥᚑᨐߥߤߪ‫ޔ‬ᖱႎಣℂቇળߩᯏ㑐⚕ߢ޽ࠆ‫ޟ‬ᖱႎಣℂ‫ ߩޠ‬2009 ᐕ 2 ᦬ภ(Vol.50-2)ߦߡ‫࠲࡯࡟࡜࠮ࠢࠕޟ‬㧘ౣ߮-ࠬࡄࠦࡦൻߩಾࠅᧅ-‫ߣޠ‬㌏ᛂߞߡ․㓸ߐࠇߚ‫ޕ‬․ߦ‫․ޔ‬㓸⸥੐ 5 ▻ߩ߁ߜ‫ޔ‬4 ▻߇ GPU 㑐ଥߢ޽ࠅ‫⪺ߩߡోߩࠄࠇߘޔ‬⠪߇᧲Ꮏᄢ/GSIC߹ߚߪ᧲Ꮏᄢ/ࠣࡠ࡯ࡃ࡞ COE‫▚⸘ޟ‬਎⇇ⷰ‫᧻ޔߚ߹ޕߚߞ޽ߢ࡯ࡃࡦࡔߩޠ‬ጟ࡮㕍ᧁࠄߪⶄᢙߩၮ⺞⻠Ṷࠍ฽߻ᢙ‫ߩޘ‬᜗ᓙ⻠Ṷࠍ࿖ౝᄖߩቇળ߿࠮ࡒ࠽࡯ߥߤߢⴕ޿(ฦ୘ੱᬺ❣ෳᾖ)‫ޔ‬TSUBAME ࠍ฽߻ᧄቇߩࠕࠢ࠮࡜࡟࡯࠲⎇ⓥ㐿⊒ߩᚒ߇࿖ࠍ࡝࡯࠼ߔࠆ
ᆫࠍ␜ߒߚ‫ޕ‬੹ᓟ߽ GSIC ߢߪ 2010 ᐕᤐߦ᭴▽࡮ዉ౉ߐࠇࠆ TSUBAME2.0 ߩߚ߼ߦ‫ޔ‬GPU ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߩ⎇ⓥ㐿⊒߿᥉෸ߦദ߼ߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬TSUBAME2.0 ߪᚒ߇࿖ೋߩࡍ
࠲ࡈࡠ࠶ࡊࠬ(Ფ⑽ 1000 ళṶ▚)⚖ߩࠬ࡯ࡄࠦࡦࡇࡘ࡯࠲ߣߒߡ⸳⸘߇ㅴࠎߢ޿ࠆ߇‫ޔ‬ᄢ᏷ߦ GPU ߇ዉ౉ߐࠇࠆߎߣߦࠃࠅ‫ޔ‬TSUBAME1.2 ߩߺߥࠄߕ‫ޔ‬୘ੱߩࡄ࠰ࠦࡦ਄ߢታ⃻ߐࠇߚ GPU ะߌߩ HPC ࡊࡠࠣ࡜ࡓ߇ߘߩ߹߹‫ߟ߆ޔ‬ᄢⷙᮨߦታⴕน⢻ߣߥࠆ੍ቯߢ޽ࠆ‫ޕ‬10

[1] “Cell Broadband Engine Technology and Systems”, IBM Systems Journal, 51-5, May,
2007
[2] Owens, J.D. Houston, M. Luebke, D. Green, S. Stone, J.E. Phillips, J.C.
“GPU Computing”, Proc. IEEE, 96-5, May 2008, pp. 879-899[3] ClearSpeed Inc. “ClearSpeed Whitepaper: CSX Processor Architecture”,
http://www.clearspeed.com/docs/resources/ClearSpeed_Architecture_Whitepaper_Feb07v2.pdf, Feb. 2007.
[4] Taiji M. “MDGRAPE-3 chip: a 165 Gflops Application Specific LSI for Molecular
Dynamics Simulations”, Proc. Hot Chips 16, IEEE Computer Society Press (CD-ROM),
2004.
[5] Satoshi Matsuoka. Petascale Computing Algorithms and Applications --- Chapter 14 The
Road to TSUBAME and Beyond, Chapman & Hall CRC Computational Science Series,
pp.289-310, 2008
[6] Toshio Endo and Satoshi Matsuoka. "Massive Supercomputing Coping with
Heterogeneity of Modern Accelerators", IEEE International Parallel & Distributed
Processing Symposium (IPDPS 2008), the IEEE Press, April, 2008.
[7] Akira Nukada, Yasuhiko Ogata, Toshio Endo, and Satoshi Matsuoka. “Bandwidth
Intensive 3-D FFT kernel for GPUs using CUDA”, Proc. ACM/IEEE Supercomputing 2008
(SC2008), Austin, Texas, the IEEE Press, Nov., 2008.

㩷 㩷

㩷

㩷
㩷
㩷
㩷

㩷
࿑ 0.6 CPU 䈫䉝䉪䉶䊤䊧䊷䉺䈮䈍䈔䉎⸘▚㗫ᐲ䈫䊜䊝䊥䉝䉪䉶䉴㗫ᐲ䈱㑐ଥ㩷㩷11

࿑ 0.7 TSUBAME1.2 䈱᭴ᚑ㩷㩷㩷㩷
࿑ 0.8 TSUBAME 䈻䈱 NVIDIA Tesla S1070 䈱ㅊട䇯䈠䉏䈡䉏䈱 S1070 䈮䈲 Tesla 10p 䊒䊨䉶䉾䉰䉦䊷䊄䈏 4 ᨎౝ⬿䈘䉏䈩䈇䉎䇯TSUBAME 䈱⸘▚䊉䊷䊄㑆䈮 S1070 䉕ᝌ౉䈚䇮PCI-Express 䈱᜛ᒛ䉬䊷䊑䊦䈪⸘▚䊉䊷䊄䈮ធ⛯䈜䉎䇯ᝌ౉ᓟ䉅䈾䈫䉖䈬⋡┙䈢䈝䇮䉝䉪䉶䊤䊧䊷䉺䈱㜞䈇⸘▚ኒᐲ䉕␜䈚䈩䈇䉎䇯

12

㩷

㩷
࿑ 0.9 TSUBAME 䈱 Top500 䈮䈍䈔䉎䊤䊮䉨䊮䉫䈱ផ⒖

13

↪⺆⺑᣿
HPC: High Performance Computing = 㜞ᕈ⢻⸘▚‫ࠪߚ޿↪ࠍࠇߘ߮ࠃ߅ޔ‬ࡒࡘ࡟࡯࡚ࠪࡦ৻⥸ࠍᜰߔ‫ޕ‬GPU: Graphical Processing Unit ߩ⇛⒓‫࡜ࠣ࠲࡯ࡘࡇࡦࠦߪ࠷࡯࡞ߩ᧪ᧄޕ‬ࡈࠖ࠶ࠢࠬ↪ߩࠕࠢ࠮࡜࡟࡯࠲ߢ޽ࠆ߇‫ߩߘޔ‬㜞޿Ṷ▚ᕈ⢻ߣ‫ޔ‬Ảᴛߥࡔࡕ࡝
ࡃࡦ࠼᏷ߦࠃࠅ‫ޔ‬HPC ᳢↪⸘▚ࠍⴕࠊߖࠆߎߣ߇ᵈ⋡ࠍ㓸߼ߡ޿ࠆ‫ޕ‬(GP)GPU ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ: (General Purpose) GPU Computing, ৻⥸ߩCPU ߢᓥ᧪ⴕߞߡ߈ߚࠪࡒࡘ࡟࡯࡚ࠪࡦߥߤߩ⸘▚ࠍ GPU ਄ߢⴕ޿‫ޔ‬ᄢ᏷ߥᕈ⢻ะ਄ࠍᨐߚߔ߽ߩ‫ޕ‬
ࠦࠕ: 1 ߟߩࠪ࡝ࠦࡦၮ᧼(࠳ࠗ)߿ LSI ࠴࠶ࡊߩࡄ࠶ࠤ࡯ࠫౝߦⶄᢙߩ CPU න૏ࠍ෼߼ࠆࠃ߁ߦߥࠅ㧘න৻ CPU ᯏ⢻න૏ߩ๭⒓ߣߒߡ‫ࠆࠇࠊ૶߇ޠࠕࠦޟ‬ࠃ߁ߦߥߞߚ‫ ߪߢࠨ࠶࠮ࡠࡊࠕࠦ࡞ࠕࡘ࠺ޕ‬1 ߟߩ LSI ࡄ࠶ࠤ࡯ࠫౝߦ 2 ߟߩ
CPU ᯏ⢻න૏߇฽߹ࠇ‫‛ߩߟ৻ޔ‬ℂ⊛ߥ࠰ࠤ࠶࠻ߦᝌߐࠇࠆ‫ޕ‬ㅢᏱߩ CPU ߪ
2-4 ࠦࠕ⒟ᐲߢ޽ࠆ߇‫ޔ‬GPU ߢߪᢙචࠦࠕࠍ৻࠴࠶ࡊߦౝ൮ߔࠆ‫ޕ‬ࠕࠢ࠮࡜࡟࡯࠲: ⸘▚ᯏߦ߅޿ߡ⸘▚ࠍㅢᏱߩ CPU ߣߪ೎ߥࡂ࡯࠼࠙ࠚࠕߢ
ടㅦߔࠆ߽ߩ‫ޕ‬GPU ߪర᧪ࠣ࡜ࡈࠖ࠶ࠢࠬ↪ㅜߩࠕࠢ࠮࡜࡟࡯࠲ߢ޽ࠆ߇‫ޔ‬ㄭᐕߢߪઁߩടㅦ↪ㅜߦ߽↪޿ࠄࠇࠆ‫੹ޕ‬࿁ߩ Tesla ዉ౉ߦࠃࠅ‫ޔ‬TSUBAME ߪ᳢↪ CPU ߦട߃ੑߟߩ⇣ߥࠆ HPC ↪ߩࠕࠢ࠮࡜࡟࡯࠲߇ᷙ࿷ߔࠆ⇣ᯏ⒳ࠪࠬ
࠹ࡓߣߥߞߚ‫ޕ‬
Top500: ਎⇇ߩ࠻࠶ࡊ࡜ࡦࠢߩࠬࡄࠦࡦࠍ 500 ૏߹ߢ㓸⚂ߒߚ৻ⷩ⴫ߢ‫ޔ‬6 ᦬
ߣ 11 ᦬ߩᐕ 2 ࿁⊒⴫ߐࠇࠆ‫ߪࠣࡦࠠࡦ࡜ޕ‬ᓟㅀߩ Linpack ࡌࡦ࠴ࡑ࡯ࠢߩታ
ⴕᕈ⢻୯ࠍ↪޿ࠆ‫ޕ‬2008 ᐕ 6 ᦬ߩ਎⇇࠻࠶ࡊߪ☨࿖ Los Alamos ࿖┙⎇ⓥᚲߩ
IBM RoadRunner ߢ‫ߩߘޔ‬ᕈ⢻ߪ 1 ࡍ࠲ࡈࡠ࠶ࡊ㧔Ფ⑽ 1000 ళṶ▚㧕ࠍ⿥߃ࠆ‫ޕ‬TSUBAME ߪ 2006 ᐕ 6 ᦬ߦ਎⇇ 7 ૏ߢ⊓႐ߒ‫ߩߘޔ‬ᓟ 6 ࿁ㅪ⛯ߢᕈ⢻ะ਄ࠍᨐߚߒߡ޿ࠆ‫ޕ‬2008 ᐕ 11 ᦬ߩ㗅૏ߪ਎⇇ 29 ૏‫ޔ‬࿖ౝߢߪ᧲ᄢߦᰴ߉ 2૏‫ޕ‬
http://www.top500.org
Linpack: Top500 ߦߡ↪޿ࠄࠇࠆࡌࡦ࠴ࡑ࡯ࠢߢ‫ޔ‬ၮᧄ⊛ߦߪ⑼ቇᛛⴚ⸘▚ߢࠃߊ಴ߡߊࠆᄢⷙᮨߥㅪ┙৻ᰴᣇ⒟ᑼࠍ⸃ߊ߽ߩ‫ޕ‬න৻ࡌࡦ࠴ࡑ࡯ࠢߣߩᛕ್
߽ᄙ޿߇‫߽ߢߡ޿߅ߦࡦࠦࡄࠬޔ‬ㅢᏱߢߪ⿠ߎࠄߥ޿ࠬ࠻࡟ࠬ߇ࠪࠬ࠹ࡓో⥸ߦࠊߚߞߡ㐳ᤨ㑆߆߆ࠅ‫ߣࠎߜ߈ޔ‬ታⴕߒߡᕈ⢻ࠍ಴ߔߎߣߪታㆇ↪ߦଏߔࠆࠬࡄࠦࡦߩᜰᮡߣߒߡᄢᄌ㊀ⷐߢ޽ࠆ‫⥄ޕ‬േゞߦ߅ߌࠆᜰᮡߦ଀߃ࠇ߫‫ࠬ࠹ޔ‬࠻ࠦ࡯ࠬߢߩㅪ⛯㜞ㅦㆇォߦ߅ߌࠆᐔဋᤨㅦߦ㘃ૃߔࠆ‫ޕ‬

14࠻ࡇ࠶ࠢࠬ

ࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻ 5WRGT%QP ߩᵴേߦߟ޿ߡᐔᚑ  ᐕᐲᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨ ℂ⸃Ⴧㅴㇱ㐷 ࠍฃ⾨
ᐔᚑ 20 ᐕ 4 ᦬‫࡯࠲ࡦ࠮ޔ‬㐳 ᷰㄝᴦ‫ޔ‬ഥᢎ ᧻↰⵨ᐘࠄ߇‫ޔ‬㜞ᩞ࡮㜞ኾ↢ࠍኻ⽎ߣߔࠆࡊࡠ
ࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻ SuperCon ߩᵴേߦߟ޿ߡᢥㇱ⑼ቇ⋭ࠃࠅᐔᚑ 20 ᐕᐲ⑼ቇᛛⴚಽ㊁ߩᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨ (ℂ⸃Ⴧㅴㇱ㐷)ࠍฃ⾨ߒ߹ߒߚ‫ޕ‬એਅߦ‫ޔ‬ฃ⾨⠪ࠍઍ⴫ߒߡ᧻↰ഥᢎ߇‫᧲ޟ‬Ꮏᄢࠢࡠ࠾ࠢ࡞ No.437‫ߦޠ‬ነⓂߒߚႎ๔ࠍォタߒ߹ߔ‫ޕ‬㜞ᩞ࡮㜞ኾ↢ࠍኻ⽎ߣߒߚࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻ SuperCon ߩᵴേߦߟ޿ߡ
㧔ฃ⾨⠪ࠍઍ⴫ߒߡ㧕 ᧻↰ ⵨ᐘ ᧄᐕ 4 ᦬‫ޔ‬ᢥㇱ⑼ቇ⋭߆ࠄᧄᵴേߦኻߒ‫ޔ‬ᐔᚑ㧞㧜ᐕᐲ⑼ቇᛛⴚಽ㊁ߩᢥㇱ⑼ቇᄢ⤿⴫
ᓆ⑼ቇᛛⴚ⾨㧔ℂ⸃Ⴧㅴㇱ㐷㧕ࠍ㗂߈߹ߒߚ‫ޕ‬ฃ⾨ℂ↱ߪ‫▚⸘ࠆࠃߦࡦࠦ࡯ࡄ࡯ࠬޟ‬ᯏ⑼ቇ߳ߩℂ⸃Ⴧㅴ‫ޕߔߢޠ‬ ߎߩࠦࡦ࠹ࠬ࠻ߪ 1995 ᐕߦᆎ߹ࠅ‫੹ޔ‬ᐕߢ 14 ࿁⋡ࠍᢙ߃߹ߔ‫ޔߪࡦࠦ࡯ࡄ࡯ࠬޕ‬Super
Computing (ᒰೋߪ Computer) Contest ߩ⇛⒓ SuperCon ߩ๺ฬߢߔ‫ޕ‬1995 ᐕߪ‫ᧄޔ‬ቇߦೋ߼ߡࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ (ETA10) ߇ዉ౉ߐࠇߚᐕߢ޽ࠅ‫⸥ࠍࠇߎޔ‬ᔨߒߡ૗߆‫␠ޔ‬ળ⊛ࠗࡌࡦ࠻߇ߢ߈ߥ޿߆ߣ⠨߃ᆎ߼ߚ߽ߩߢߔ‫ߩߎޕ‬ᐲ‫ޔ‬ᩕ⹷޽ࠆ⾨ࠍฃ⾨ߒߚߎߣߪ㕖Ᏹߦశᩕߥߎߣߢߪ޽ࠅ߹ߔ‫ߩߎޔߒ߆ߒޕ‬⒳ߩࠗࡌࡦ࠻ࠍታⴕߦ⒖ߒ‫ߡߒ⛯⛮ޔ‬ታᣉߒߡ޿ߊߚ߼ߦߪ‫ޔ‬ᄙߊߩᣇ‫ߩޘ‬ദജߣදജ߇ߥߌࠇ߫೔ᐩታ⃻ߢ߈ࠆ߽ߩߢߪ޽ࠅ߹ߖࠎ‫ޕ‬ߒߚ߇ߞߡ‫ߩߎޔ߫ࠄߥ᧪ᧄޔ‬ᵴേ⥄り߇⹏ଔߐࠇࠆߴ߈ߛߣ⠨߃߹ߔ߇‫ޔ߇⾨ޔ‬୘ੱࠍኻ⽎ߣߔࠆࠃ߁ߦߥߞߡ޿ࠆߚ߼‫߇߆⺕ޔ‬ઍ⴫ߒߡฃߌࠆએᄖߪߥߊ‫ޔ‬ᷰㄝᴦ‫⩵ޔ‬ᳰ⺈㧔㒋ᄢ㧕‫ ߩ↰᧻ޔ‬3 ฬ߇ઍ⴫ߒߡฃ⾨ߐߖߡ޿ߚߛ߈߹ߒߚ‫ޕ‬ ৻⥸ߦ‫ࠆ޽ޔ‬໧㗴࠹࡯ࡑ߇޽ࠅ‫⸃ࠍࠇߘޔ‬᳿ߔࠆ‫ߚߞ޿ߣޔ‬ቇⴚ⎇ⓥᚑᨐߣᲧߴ‫ߣߚޔ‬߃ቇⴚ⊛⽸₂߇࠯ࡠߣߪ⸒ࠊߕߣ߽‫ߚߒ߁ߎޔ‬ᵴേࠍ⹏ଔߔࠆߎߣߪߥ߆ߥ߆㔍ߒ޿ߎߣߢߔ‫⑼ޔ߼ߚߩߘޕ‬ቇᛛⴚ⾨ߩਛߦ‫ޔ‬ℂ⸃Ⴧㅴߣ޿߁ㇱ㐷ࠍ⸳ߌߡ޿ࠆߩߛߣᕁ޿߹ߔ‫ޕ‬ࠬ࡯ࡄ࡯ࠦࡦߩᵴേࠍ⷗ࠆߣ߈‫․ޔ‬ᓽ⊛ߥߩߪ‫ࡑ࡯࠹ߥࠣࡦࠫࡦ࡟ࡖ࠴ޔ‬㧔ߒߚ߇ߞߡ㔍ߒ޿㧕ࠍ⸳ቯߒ‫৻ߡߞࠃߦࡊ࡯࡞ࠣޔ‬ቯᦼ㑆㧔ታ㓙ߦߪ 3 ᣣ߆ࠄ 5 ᣣ㧕ౝߦ⸃ߊࡊࡠࠫࠚ
ࠢ࠻ဳᵴേߢ޽ࠆߎߣ‫⚿ࠆࠇ߹↢߽⚛ⷐࠬ࠽ࠗࡑߩ߆ߟߊ޿ޔ߼ߚߩߎޕߔߢޔ‬ᨐߣߥߞߡ޿߹ߔ‫⺖ޔ߫߃ߣߚޕ‬㗴߇㔍ߒ޿ߎߣߦࠃߞߡ‫ޔ‬ᄙߊߩෳട⠪ࠍ㓸߼ࠆߎߣ߇ߢ߈ߥ޿‫ޕ‬⃻࿷ߩᣣᧄߩ㜞ᩞߦ߅ߌࠆᖱႎᢎ⢒ߩਛߢ‫߇࠻ࠬ࠹ࡦࠦߩߎޔ‬ឭ಴ߔࠆ⺖㗴ߦ࠴ࡖ࡟ࡦࠫ
ߢ߈ࠆቇ↢ߪᱷᔨߥ߇ࠄ߹ߛᄙߊ޽ࠅ߹ߖࠎ‫ޔ߼ߚࠆ޽ߢဳ࠻ࠢࠚࠫࡠࡊޔߚ߹ޕ‬ㅢᏱߩᱜ⸃࡮ਇᱜ⸃ߢᯏ᪾್ቯߔࠆክᩏᣇᴺߪ᦭ലߢߪߥߊ‫ᧂޔ‬⍮ߩ⺖㗴ߢ޽ࠅߥ߇ࠄ‫ᤨ▚⸘ޔ‬15㑆࡮⸘▚⚿ᨐߦኻߔࠆ estimate ࠍ੐೨ߦⴕ߁ᔅⷐ߇޽ࠅ߹ߔ‫߅ߦ࠻ࠬ࠹ࡦࠦᧄޔߪࠇߎޕ‬޿ߡ‫ޔ‬Ფ࿁৻⇟㔍ߒ޿ㇱಽߣߥߞߡ޿߹ߔ‫ޕ‬ ㅢᏱ‫⹏ޔ‬ଔߐࠇࠆࠗࡌࡦ࠻ᵴേߣ޿߁߽ߩߪ‫ߩߘޔ‬ಽ㊁ߦ߅޿ߡࠃࠅ⵿㊁ࠍᐢߍࠆߎߣ
߇㊀ⷞߐࠇ߹ߔ‫ߣࠇߘޕ‬Ყߴࠆߣࠬ࡯ࡄ࡯ࠦࡦߩࠃ߁ߦᲤ࿁ߩෳട⠪߇੍ㆬࠍ฽߼ 100 ฬ⒟ᐲߣ޿߁ߩߪ⏕߆ߦዋߥ޿‫߁ߎޔߪߡ޿ߟߦࠇߎޕ‬⠨߃ߡ޿߹ߔ‫↲ޕ‬ሶ࿦ߦෳടߢ߈ࠆ
㜞ᩞ↢ߪో࿖ߩ㊁⃿ዋᐕߩ߶ࠎߩ৻ㇱߢߔ‫↲ߩߘޔߒ߆ߒޕ‬ሶ࿦ߩ⥰บߢᵴべߔࠆᓐࠄࠍ
⷗ߡ‫ߩઁޔ‬㊁⃿ዋᐕߚߜߪೝỗࠍฃߌ‫ޔ‬㗎ᒛࠆࠊߌߢߔ‫ߥ߁ࠃߩߘ߽࠻ࡦࡌࠗᧄޕ‬ᗧ๧ߢ‫ޔ‬ࡊࡠࠣ࡜ࡒࡦࠣߩ਎⇇ߦ߅ߌࠆ↲ሶ࿦ߛߣ⠨߃ߡ޿߹ߔ‫ޕ‬ෳട⠪ߪዋߥ޿ߌࠇߤ‫࡟ࠗࡂޔ‬ࡌ࡞ߩෳട⠪ߚߜߦೝỗߐࠇ‫ߩઁޔ‬㜞ᩞ↢ߚߜ߽‫ߩࠣࡦࡒ࡜ࠣࡠࡊޔ‬਎⇇‫⸘ޔߪߡ޿߭ޔ‬▚ᯏ⑼ቇߩ਎⇇ߦ⥝๧ࠍᜬߟߩߢߪߥ޿߆‫ࠆࠇࠊⴕߢߎߎޔߪߦ߼ߚߩߘޔ‬ᚢ޿߇ࡂࠗ࡟
ࡌ࡞ߢߥߌࠇ߫ᓐࠄߩ⥝๧ࠍᗖ߆ߥ޿‫ޕߣޔ‬ ࠹࡯ࡑߩ⸳ቯߪ㔍ߒ޿໧㗴ߢ‫ޔ‬Ფ࿁‫ޔ‬㑐ଥ⠪߇৻᭽ߦ㗡ࠍᖠ߹ߖࠆߣߎࠈߢߔ‫▚⸘ޕ‬ᯏ⑼ቇߩಽ㊁‫ޔ߫߃ߣߚޔ‬ᥧภ໧㗴ߺߚ޿ߥࠬ࠻࡟࡯࠻ߥ⺖㗴ࠍ಴ߔᤨ߽޽ࠅ߹ߔ߇‫‛↢ޔ‬ቇ‫ޔ‬㊂ሶജቇ‫ޔ‬ᄤ૕‛ℂ‫▚⸘ޔ‬ᐞ૗ቇߥߤ߆ࠄߩᛮ߈಴ߐࠇߚ⺖㗴߽޽ࠅ߹ߔ‫ޕ‬ਛߦߪ‫ޔ‬ࠦࡦ࠹ࠬ࠻ߩ⺖㗴ࠍߘߩᓟߩ⎇ⓥ࠹࡯ࡑߦߒߚෳട⠪߽޿߹ߔ‫⃻ޔߪੱ৻ߩߘޕ‬࿷‫ࠗ࠲ޔ‬࡝ࡦࠣߣ޿ߞߡᐔ㕙ࠍዊߢၒ߼ࠆ໧㗴ߩ৻⥸⸃ߦߟ޿ߡ‫ޔ‬ᄢቇ㒮ඳ჻⺖⒟ߢ⎇ⓥߒߡ޿߹ߔ‫ޕ‬ ৻⥸ߦ⸃߇৻ߟߒ߆ߥ޿໧㗴ߩ႐ว‫ޔ‬all or nothing ߢൎᢌ߇᳿߹ࠆߚ߼‫޿ߔ߿ࠅ߆ࠊޔ‬ߌࠇߤ‫ޔ‬nothing ߩ႐วߪ‫ޔ‬᳇ߩᲥߣ޿߁ߎߣ߽޽ࠅ߹ߔ‫ᦨޔ߆߼ߚߩߘޕ‬ㄭߪ‫ᦨޔ‬ㆡ⸃ࠍ᳞߼ࠆ໧㗴߇Ⴧ߃ߡ޿߹ߔ‫ᦨޕ‬ㆡ⸃ߢߥߊߣ߽‫ޔ‬ㄭૃ⸃ߢࠃߌࠇ߫ߥࠎߣ߆಴ߖࠆ߆߽ߒ
ࠇߥ޿߆ࠄߢߔ‫ޕ‬all or nothing ߩ႐ว‫ᦼ࠻ࠬ࠹ࡦࠦޔ‬㑆ਛߦ޿ߊࠄദജߒߡ߽‫ޔ‬㗎ᒛߞߡ߽‫߇⸃ޔ‬ᓧࠄࠇߥߌࠇ߫૗߽⷗߃ߡߎߥ޿‫ޔߒ߆ߒޕ‬ㄭૃ⸃ߢ޽ࠇ߫‫ߩߘޔ‬ㆊ⒟ࠍߘߎ߆
ࠄᄙዋ⍮ࠆߎߣ߇ߢ߈ࠆ‫߁޿߁ߘޕ‬ᗧ๧ߢߪ‫ࡦࠦဳ࠻ࠢࠚࠫࡠࡊߥ߁ࠃߩࡦࠦ࡯ࡄ࡯ࠬޔ‬࠹ࠬ࠻ߢߪ‫ޔ‬ㄭૃ⸃ᣇᑼ߇⦟޿ߩ߆߽ߒࠇ߹ߖࠎ‫ޕ‬ ᭽‫ߥޘ‬ᵴേ߇޽ࠅ‫ߩߘޔ‬ਛߢ߽‫޿ࠄߊߊߟ߇⿥ߪࡦࠦ࡯ࡄ࡯ࠬޔ‬࿾๧ߥࠗࡌࡦ࠻ߢߔ‫ޕ‬Ფ࿁ࠬࡐࡦࠨ࡯តߒߦ⧰ഭߒ߹ߔ‫ޕ‬㜞ᩞ↢ߣ޿߁りಽߦኻߔࠆ⋥ធߩࠨࡐ࡯࠻߇ᄢቇߣ޿
߁઀⚵ߺߩਛߢ㔍ߒ޿ߩ߽ࡀ࠶ࠢߢߔ‫ߥࠎߘޕ‬࿾๧ߥࠗࡌࡦ࠻ߢ޽ࠅߥ߇ࠄ‫⹶ߣߞࠂߜޔ‬ࠇࠆߎߣ߇‫ޔ‬Ფ࿁ߩ⸥㍳ࠍᔅߕᱷߒߡ߈ߚߎߣߢߔ‫ޕ‬ᒰೋߪࠦࡦࡇࡘ࡯࠲♽ߩ㔀⹹ߣ‫ޟ‬ᢙቇ࠮ࡒ࠽࡯‫ߢޠ‬ႎ๔ߒߡ޿߹ߒߚ‫ޕ‬೨⹹߇ᑄೀߦߥߞߚᓟ߽‫ޟޔ‬ᢙቇ࠮ࡒ࠽࡯‫ߪߦߌߛޠ‬Ფ࿁ႎ๔ࠍᦠ޿ߡ߈߹ߒߚ‫ ╙ޔߚ߹ޕ‬10 ࿁ᄢળߩ▵⋡ߦߪ‫↲ࡦࠦ࡯ࡄ࡯ࠬޡޔ‬ሶ࿦‫߁޿ߣޢ‬࠲ࠗ࠻࡞ߢㆊ෰ 10 ᐕ㑆ߩ߹ߣ߼ࠍᧄߦߒ߹ߒߚ㧔ᣣᧄ⹏⺰␠㧘2005 ᐕ㧕‫߽ߦߥޕ‬ᄢߘࠇߚ✚᜝ࠍⴕߞߡ޿ࠆࠊߌߢߪ޽ࠅ߹ߖࠎ߇‫ޔ‬Ფ࿁ߩ⸥㍳ࠍᱷߔߣ޿߁ߎߣߪ‫ޔ‬᩺ᄖ‫ޔ‬ᄢ੐ߥ
16ߎߣߢߪߥ޿ߢߒࠂ߁߆‫߁޿߁ߎޕ‬࿾๧ߥദജ߽‫੹ޔ‬࿁‫ޔ‬ฃ⾨ߒߚⷐ࿃ߩ৻ߟߢߪߥ޿߆
ߣ⠨߃ߡ޿߹ߔ‫ޕ‬ ࠬ࡯ࡄ࡯ࠦࡦ߽ߚ߱ࠎ 20 ࿁ᄢળ૏߹ߢߪ⛮⛯ߐࠇࠆߎߣߢߒࠂ߁‫߽ߤࠇߌޕ‬ᄙߊߩᣇ‫ޘ‬ߩᔕេ߇ߥߌࠇ߫‫ߪ⛯⛮ޔ‬㔍ߒ޿ߣᕁ޿߹ߔ‫ߏߊߒࠈࠃ߽ࠄ߆ࠇߎޕ‬ᡰេ‫ߏޔ‬දജߩ߶ߤ
߅㗿޿޿ߚߒ߹ߔ‫ޕ‬ၫ╩⠪ ᧻↰⵨ᐘ㧔ฃ⾨⠪ࠍઍ⴫ߒߡ㧕17 ⚵❱࡮ㆇ༡
⚵❱࿑࠮ࡦ࠲࡯㐳    ㆇ༡ᆔຬળ    ⹺⸽ၮ⋚ኾ㐷ᆔຬળ   ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓኾ㐷ᆔຬળ ᖱႎ⫾Ⓧ࡮ᵴ↪ኾ㐷ᆔຬળ ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓኾ㐷ᆔຬળ ࠣࡠ࡯ࡃ࡞ᖱႎ⾗Ḯᵴ↪ද௛ኾ㐷ᆔຬળ ᐢႎኾ㐷ᆔຬળ೽࠮ࡦ࠲࡯㐳ᖱႎၮ⋚ㇱ㐷㧔ᖱႎᜂᒰ㧕  ᖱႎᵹㅢಽ㊁ ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷 ໧㗴⸃᳿ᡰេⅣႺಽ㊁ ㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁೽࠮ࡦ࠲࡯㐳ቇⴚ࿖㓙੤ᵹㇱ㐷 ࿖㓙੤ᵹᜂᒰ㧕࿖㓙੤ᵹಽ㊁ ࿖㓙౒ห⎇ⓥಽ㊁੐ ോ       ᖱႎၮ⋚⺖㐳
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ၮ⋚✚ോࠣ࡞࡯ࡊ
ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ
⹺⸽ၮ⋚ࠪࠬ࠹ࡓᜂᒰ
ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓᜂᒰ
ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓᜂᒰ


18

ᢎຬ╬᭴ᚑ࠮ࡦ࠲࡯㐳㧔౗㧕ᢎ   ᝼ ᷰㄝ  ᴦ‫ޣ‬ᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼‫ޤ‬  ೽࠮ࡦ࠲࡯㐳㧔ᖱႎᜂᒰ㧕㧔౗㧕   ᢎ   ᝼ ᬀ᧻ ෹ᒾ‫ޣ‬ᄢቇ㒮ℂᎿቇ⎇ⓥ⑼‫ޤ‬  ೽࠮ࡦ࠲࡯㐳㧔࿖㓙੤ᵹᜂᒰ㧕㧔౗㧕  ᢎ   ᝼ ⷏ේ ᣿ᴺ‫ޣ‬ᢎ⢒Ꮏቇ㐿⊒࠮ࡦ࠲࡯‫ޤ‬ᖱႎၮ⋚ㇱ㐷    ᢎ   ᝼ દ᧲ ೑຦㧔ᖱႎᵹㅢಽ㊁㧕            ᢎ   ᝼ ᮮ↰ ᴦᄦ㧔ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁㧕            ಎᢎ᝼ 㘵↰ ൎศ㧔ᖱႎᵹㅢಽ㊁㧕            ․છಎᢎ᝼

෹⍹ ᱜᒾ㧔ᖱႎᵹㅢಽ㊁㧕            ഥ   ᢎᷰㆺ 㓁੺㧔ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁㧕        ቴຬᢎ᝼⋥੗  ⡡‫ޣ‬ᩣᑼળ␠ን჻ㅢ⎇ⓥᚲ‫ޤ‬ቴຬಎᢎ᝼ 㐷ᨋ 㓶ၮ‫ޣ‬࿖┙ᄢቇᴺੱᄹ⦟వ┵⑼ቇᛛⴚᄢቇ㒮ᄢቇ‫ޤ‬↥ቇቭㅪ៤⎇ⓥຬ ⋉੗ ⾫ᰴ                          ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷 ᢎ   ᝼ ᧻ጟ  ⡡㧔໧㗴⸃᳿ᡰេⅣႺಽ㊁㧕            ᢎ   ᝼ 㚍⿧ ᐾᕶ㧔㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁㧕            ಎ ᢎ ᝼ ᦸ᦬ ␭ᵗ㧔㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁㧕
ഥ   ᢎ ᧻↰ ⵨ᐘ㧔໧㗴⸃᳿ᡰេⅣႺಽ㊁㧕            ቴຬ ᢎ ᝼   ጊ↰ ᕡᄦ‫ⴕ┙⁛ޣ‬᡽ᴺੱࡔ࠺ࠖࠕᢎ⢒㐿⊒࠮ࡦ࠲࡯‫ޤ‬            ቴຬಎᢎ᝼

቟⮮ ⧷ବ‫ޣ‬࿖┙ᄢቇᴺੱጊ᪸ᄢቇ‫ޤ‬            ↥ቇቭㅪ៤⎇ⓥຬ 㗵↰  ᓆ            ↥ቇቭㅪ៤⎇ⓥຬ ਣጊ ⋥਽            ↥ቇቭㅪ៤⎇ⓥຬ ᄢỈ  ᷡ            ↥ቇቭㅪ៤⎇ⓥຬ ኪᧄ ⧷ਯ             ቇⴚ࿖㓙੤ᵹㇱ㐷  ᢎ   ᝼ 㕍ᧁ ዅਯ㧔࿖㓙౒ห⎇ⓥಽ㊁㧕ᢎ   ᝼ ጊญ ߒߩ߱㧔࿖㓙౒ห⎇ⓥಽ㊁㧕ಎ ᢎ ᝼PIPATPONGSA THIRAPONG㧔࿖㓙੤ᵹಽ㊁㧕            ․છಎᢎ᝼ ⷏Ꮉ ᱞᔒ㧔࿖㓙౒ห⎇ⓥಽ㊁㧕            ቴຬ ᢎ ᝼  ᧛↰ ବ৻ ‫ޣ‬࿖ㅪ㐿⊒⸘↹‫ޤ‬            ↥ቇቭㅪ៤⎇ⓥຬ

WANG XIAN ̪‫ᧄߪޤ ޣ‬ോవ

19੐ോ⚵❱  ᖱႎၮ⋚⺖㐳    ੖๧ ᾖ᣿   ၮ⋚✚ോࠣ࡞࡯ࡊ㧔ᐼോ෸߮ળ⸘㧕    ࠣ࡞࡯ࡊ㐳   ᣣ⟎ ❥᣿    ਥ  ᩏ    ᧻ᧄ ⋥ሶ    ࠬ࠲࠶ࡈ    ⍹੗ ℂᕺ    ⵬ ૒ ຬ    ㊄ሶ ⚐ሶ  ችญ ⼾ሶ  ࿯੗ ᷕሶ    ⵬ ૒ ຬ    ኹἑ ⋿⍮ሶ㧔࿖㓙᫟੐ോቶ㧕ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ  ࠣ࡞࡯ࡊ㐳   ዊ㊁  ᔋ⹺⸽ၮ⋚ࠪࠬ࠹ࡓᜂᒰ㧔⹺⸽ၮ⋚ࠪࠬ࠹ࡓߩ᭴▽ㆇ↪▤ℂ㧕    ਥ  ᩏ    ጊ㦮 ቁᴦ    ࠬ࠲࠶ࡈ    ᣸㊁ 㐳ౖ    ᛛⴚኾ㐷ຬ   ᄥಷᎹ ඳਯ    ᛛⴚ⡯ຬ    ᣂ㉿ ථผ    ᛛⴚ⡯ຬ    ጯᧄ ᐘ৻ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓᜂᒰ㧔⎇ⓥ࡮ᢎ⢒↪⸘▚ᯏࠪࠬ࠹ࡓߩㆇ↪▤ℂ෸߮㆙㓒ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ߦ㑐ߔࠆ੐ോ㧕    ࠣ࡞࡯ࡊ㐳   ዊ㊁  ᔋ    ਥ  છ    ጊ᪸  Პ    ࠬ࠲࠶ࡈ    㢬⷗  ᘮ⵬ ૒ ຬ    ጊ↰ ┨ઍ⵬ ૒ ຬ    ᓟ⮮ ⚐ሶ㧔ߔߕ߆ߌบಽቶ㧕ਥછᛛⴚኾ㐷ຬ ਭ⢻ ߼ߋߺᛛⴚኾ㐷ຬ   ᩮᧄ ᔋᛛⴚ⡯ຬ    ቟⦟ጟ ↱ⷙࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓᜂᒰ㧔ቇౝၮᐙࡀ࠶࠻ࡢ࡯ࠢߩㆇ↪▤ℂ㧕    ਥ  ᩏ    ᳯዥ ૫ઍࠬ࠲࠶ࡈ᫪⼱  ኡ    ⵬ ૒ ຬ    ᧁਅ ⵨ሶ    ᛛⴚ⡯ຬ    㓈᳓ ⦟ᐘ    ᛛⴚ⡯ຬ    ዊ᧻ፒ 㕏20ฦ⒳ᆔຬળࡔࡦࡃ࡯৻ⷩ

ᚲ

ዻ ⡯

ฬ ᳁

ฬ ㆇ

༡

⹺⸽ၮ⋚

ࡀ࠶࠻ࡢ࡯ࠢ

ᖱႎ⫾Ⓧᵴ↪

㩄 㩧 㩕 㩩 㨷 㨺 㩊 㩆 㩇 㩍 㩛㩂㩨㩥㨺㩔㩨㩣⾗Ḯᐢႎ࠮ࡦ࠲࡯㐳 ᢎ᝼ ᷰㄝᴦ

٧

٤





٤





೽࠮ࡦ࠲࡯㐳ᢎ᝼ ᬀ᧻෹ᒾ

٤

٤

٤

٤

٤



٤

೽࠮ࡦ࠲࡯㐳ᢎ᝼ ⷏ේ᣿ᴺ

٤





٤

٤

٤



ቇ ᖱ ࠮ ᢎ᝼ દ᧲೑຦

٤

٧

٤

٤







ቇ ᖱ ࠮ ᢎ᝼ ᮮ↰ᴦᄦ

٤

٤



٧

٤



٤

ቇ ᖱ ࠮ ᢎ᝼ ᧻ጟ⡡

٤



٤

٤

٧

٤



ቇ ᖱ ࠮ ᢎ᝼ 㚍⿧ᐾᕶ

٤





٤

٤



٤

ቇ ᖱ ࠮ ᢎ᝼ 㕍ᧁዅਯ

٤







٤

٤

٤

ቇ ᖱ ࠮ ᢎ᝼ ጊญߒߩ߱

٤









٧

٤

ቇ ᖱ ࠮ ಎ ᢎ ᝼ ᦸ᦬␭ᵗ

٤

٤



٤

٤



٧

ቇ ᖱ ࠮ ಎ ᢎ ᝼ 㧼࠹ࠖ࡜ࡐࡦ

٤









٤



ቇ ᖱ ࠮ ಎ ᢎ ᝼ 㘵↰ൎศ

٤

٤

٧

٤

٤



٤

ቇ ᖱ ࠮ ഥᢎ ᧻↰⵨ᐘ



٤









٤

ቇ ᖱ ࠮ ഥᢎ ᷰㆺ㓁੺













㨿㩖㩨㩅㩨㨺㩔㩨㨺ቇ ᖱ ࠮ ․છಎᢎ᝼ ⷏Ꮉᱞᔒ









㨿㩖㩨㩅㩨㨺㩔㩨㨺٤ቇ ᖱ ࠮ ․છಎᢎ᝼ ෹⍹ᱜᒾ





٤



㨿㩖㩨㩅㩨㨺㩔㩨㨺ℂ ቇ ♽ ᢎ᝼ ᴡว⺈ਯ

٤







٤





Ꮏ ቇ ♽ ᢎ᝼ ⮮ጟᵗ଻

٤







٤





↢๮ℂᎿ ᢎ᝼ ᰞ੗ታ

٤

٤





٤





✚ ℂ Ꮏ ಎ ᢎ ᝼ ጊญ㓷ᶈ

٤

٤





٤





ᖱႎℂᎿ ಎ ᢎ ᝼ ᷰㇱථ㓶

٤

٤



٤

٤





␠ળℂᎿ

ಎ ᢎ ᝼ ਛፉ⑲ੱ

٤













ࠗ ࡁ ࡌ ࡯ ࠪ ࡚ ࡦಎ ᢎ ᝼ የᒻࠊ߆ߪ

٤



٤

٤







⾗ Ḯ ⎇ ಎ ᢎ ᝼ 㑐ብ਽

٤











٤

♖ ኒ ⎇ ᢎ᝼ ૒⮮⺈

٤





٤



٤



ᔕ࠮࡜⎇ ᢎ᝼ ጊౝዏ㓶

٤













ේሶἹ⎇ ಎ ᢎ ᝼ 㜞ᯅታ

٤







٤

٤



ᢎ⢒ផㅴቶ ᢎ᝼ ዊፉ᡽๺

٤













⎇ⓥᚢ⇛ቶ ᢎ᝼ ☨ፒ⋥᮸

٤





٤

٤





࿖ 㓙 ቶ ᢎ᝼ 㜞↰Ả৻

٤







٤

٤



ᢎ ⢒ Ꮏ ቇ 㐿 ⊒ ࠮ᢎ᝼ ᄢහା᣿

٤







٤





⇐ቇ↢࠮ ᢎ᝼ ᄢᾢ᡽᣿

٤







٤

٤



࿑ᦠ㙚㐳 ᢎ᝼ 㜞ᯅᐘ㓶

٤





٤







ᢎ⢒ᜂᒰ✚᜝⵬૒

ᢎ᝼ ችౝᢅ㓶

٤









٤



㒝 ዻ 㜞 ╬ ቇ ᩞ 㐳 ᢎ᝼ Ꮢ᧛⑓ੑ㇢

٤













ቇ㐳ᜰฬ ಎ ᢎ ᝼ ⿒㑆໪ਯ

٤





٤

٤



٤

21

ℂ ቇ ♽ ಎ ᢎ ᝼ ૒⮮ቁ๺



٤











ℂ ቇ ♽ ಎ ᢎ ᝼ ᧛ጊశቁ





٤









Ꮏ ቇ ♽ ಎ ᢎ ᝼ ጊਅᐘᒾ





٤









Ꮏ ቇ ♽ ಎ ᢎ ᝼ ᐫᯅ⼔









٤





Ꮏ ቇ ♽ ಎ ᢎ ᝼ ጊጟసᑼ





٤









Ꮏ ቇ ♽ ಎ ᢎ ᝼ 㜞ᯅብᴦ



٤











Ꮏ ቇ ♽ ಎ ᢎ ᝼ ⌀ፉ⼾







٤







Ꮏ ቇ ♽ ಎ ᢎ ᝼ Ꮉౝㅴ









٤





ᖱႎℂᎿ ᢎ᝼ ⑺ጊᵏ









٤





ᖱႎℂᎿ ᢎ᝼ ජ⪲ṑ









٤





ᖱႎℂᎿ ಎ ᢎ ᝼ ᮭ⮮సᒾ



٤

٤









ᖱႎℂᎿ ᢎ᝼ ᓼ᳗ஜિ







٤







ᖱႎℂᎿ ಎ ᢎ ᝼ ᄤ⼱⾫ᴦ





٤









ᖱႎℂᎿ ಎ ᢎ ᝼ ਅᐔ⧷ኼ









٤





ᖱႎℂᎿ ಎ ᢎ ᝼ ⷏ፒ⌀਽









٤





ᖱႎℂᎿ ಎ ᢎ ᝼ ⣁↰ᑪ



٤

٤



٤





ᖱႎℂᎿ ಎ ᢎ ᝼ 㚂⮮৻ᐘ





٤









)%1' ᖱႎℂᎿ㧕․ છ ಎ ᢎ ᝼

㆙⮮ᢅᄦ





٤



٤





)%1' ᖱႎℂᎿ㧕․ છ ಎ ᢎ ᝼

ዊ⷏ผ৻









٤





␠ળℂᎿ ಎ ᢎ ᝼ ቶ↰⌀↵





٤



٤





␠ળℂᎿ ഥᢎ ਛ⷏ᱜᒾ





٤









✚วℂᎿ ᢎ᝼ ጊ᧛㓷ᐘ





٤



٤





✚วℂᎿ ಎ ᢎ ᝼ ᧖㊁ᥰᒾ





٤









ࡃ ࠗ ࠝ ᢎ᝼ 㤥Ꮉ㗼





٤









⾗ Ḯ ⎇ ಎ ᢎ ᝼ ┻ਅஜੑ





٤









♖





٤

٤













٤





⎇ ಎ ᢎ ᝼ ᅏ᧛ቇ

ᢎ⢒ផㅴቶ ᢎ᝼ ጊፒᱜൎ

㒝ዻ㜞ᩞ ᢎ⻀ ખ㆏ཅᄦ





٤









ศᎹ ᤩ

٤













ᢎ ോ ⺖ ⺖㐳 દ⮮ᢘੑ



٤











ᖱႎ࿑ᦠ㙚⺖⺖㐳 ን↰ஜᏒ



٤



٤







ᖱႎၮ⋚⺖ ⺖㐳 ੖๧ᾖ᣿



٤











੐ ോ ᖱ ႎ ડ ↹ ⺖⺖㐳 ⾆ᔒᱞ৻



٤











ᣉ ⸳ ቟ ో ડ ↹ ⺖⺖㐳 ⩵ᳰ⦟ᤘ



٤











ᣉ ⸳ ቟ ో ડ ↹ ⺖ࠣ ࡞ ࡯ ࡊ 㐳 㜞ဈᐘା





٤









ᣉ ⸳ ᢛ ஻ ⺖

ਥ





٤









੐ോዪ㐳



છ ਃᅢ┙ᔒቇ ᖱ ࠮ ↥ቇቭㅪ៤⎇ⓥຬᄢỈᷡ㨿㩖㩨㩅㩨㨺㩔㩨㨺ቇ ᖱ ࠮ ↥ቇቭㅪ៤⎇ⓥຬ

ኪᧄ⧷ਯ









㨿㩖㩨㩅㩨㨺㩔㩨㨺ቇ ᖱ ࠮ ↥ቇቭㅪ៤⎇ⓥຬ

⋉੗⾫ᰴ





㨿㩖㩨㩅㩨㨺㩔㩨㨺









22

ㆇ༡ᆔຬળ㐿௅⁁ᴫ ╙ 1 ࿁ㆇ༡ᆔຬળ
㐿௅ᣣ 2008 ᐕ 5 ᦬ 22 ᣣ(㊄)1. ክ⼏੐㗄(1) ೽ᆔຬ㐳ߩㆬ಴ߦߟ޿ߡ
(2) ฦኾ㐷ᆔຬળᆔຬߩㆬ಴ߦߟ޿ߡ
(3) ᄖ࿖ੱቴຬᢎຬߩㆬ⠨ߦߟ޿ߡ

2. ႎ๔੐㗄(1) ᐔᚑ 21 ᐕᐲ᭎▚ⷐ᳞ߦߟ޿ߡ
(2) ᖱႎၮ⋚ㇱ㐷ഥᢎߩㆬ⠨ߦߟ޿ߡ
(3) ↥ቇቭㅪ៤⎇ⓥຬߩណ↪ߦߟ޿ߡ
(4) ᧲੩Ꮏᬺᄢቇ․೎⎇ⓥຬߩ⒓ภઃਈߦߟ޿ߡ
(5) ╙ 14 ࿁ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻ߦߟ޿ߡ
(6) ╙ 5 ࿁ᖱႎၮ⋚⛔᜝ቶળ⼏ߦߟ޿ߡ
(7) ੹ᓟߩቇⴚᖱႎၮ⋚ߩ࿷ࠅᣇߦ㑐ߔࠆᗧ⷗੤឵ળ(╙ 7㨯8 ࿁)ߦߟ޿ߡ
(8) ฦኾ㐷ᆔຬળ(9) ᬺോႎ๔
╙ 2 ࿁ㆇ༡ᆔຬળ
㐿௅ᣣ 2008 ᐕ 7 ᦬ 25 ᣣ(㊄)1. ክ⼏੐㗄(1) ⎇ⓥ㨯ᢎ⢒ၮ⋚ㇱ㐷 ㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁ಎᢎ᝼ౣછክᩏᆔຬળߩ⸳⟎ߦߟ޿ߡ(2) ቇⴚ࿖㓙੤ᵹㇱ㐷ಎᢎ᝼ㆬ⠨ᆔຬળߩ⸳⟎ߦߟ޿ߡ
(3) ᐔᚑ 20 ᐕᐲቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯੍▚(᩺)ߦߟ޿ߡ
(4) ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ⷙೣ෸߮ฦኾ㐷ᆔຬળౝⷙߩᡷᱜߦߟ޿ߡ
(5) ⎇ⓥ↢ߩ౉ቇߦߟ޿ߡ

2. ႎ๔੐㗄(1) Ḱቴຬ⎇ⓥຬߩฃ౉ࠇߦߟ޿ߡ
(2) ․છಎᢎ᝼ߩᚲዻㇱ㐷ᄌᦝߦߟ޿ߡ
(3) 㨬UPKI ⹺⸽ㅪ៤ၮ⋚ߦࠃࠆࠪࡦࠣ࡞ࠨࠗࡦࠝࡦታ⸽ታ㛎㨭ߩታᣉߦߟ޿ߡ
(4) ╙ 6~8 ࿁ᖱႎၮ⋚⛔᜝ቶળ⼏ߦߟ޿ߡ
(5) ฦኾ㐷ᆔຬળ(6) ᬺോႎ๔
23

╙ 3 ࿁ㆇ༡ᆔຬળ
㐿௅ᣣ 2008 ᐕ 9 ᦬ 25 ᣣ(ᧁ)
1. ክ⼏੐㗄(1) ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁ಎᢎ᝼ౣછክᩏߦߟ޿ߡ
(2) ․೎⎇ⓥຬߩ⒓ภઃਈߦߟ޿ߡ
(3) ⎇ⓥ↢ߩ౉ቇߦߟ޿ߡ
2. ႎ๔੐㗄(1) Ḱቴຬ⎇ⓥຬߩฃ౉ࠇߦߟ޿ߡ
(2) ੹ᓟߩቇⴚᖱႎၮ⋚ߩ࿷ࠅᣇߦ㑐ߔࠆᗧ⷗੤឵ળ㧔╙ 10 ࿁㧕ߦߟ޿ߡ(3) ╙ 9 ࿁ᖱႎၮ⋚⛔᜝ቶળ⼏ߦߟ޿ߡ(4) ╙ 14 ࿁ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻ߦߟ޿ߡ
(5) ࠮ࡦ࠲࡯ㆇ༡ᆔຬળ⼏੐㍳ߩ HP ߢߩ౏⴫ߦߟ޿ߡ
(6) ฦኾ㐷ᆔຬળ(7) ᬺോႎ๔
╙ 4 ࿁ㆇ༡ᆔຬળ   㐿௅ᣣ 2008 ᐕ 12 ᦬ 16 ᣣ(Ἣ)
1. ክ⼏੐㗄(1) ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷໧㗴⸃᳿ᡰេⅣႺಽ㊁ᢎ᝼ㆬ⠨ᆔຬળ⸳⟎ߦߟ޿ߡ
╙ 5 ࿁ㆇ༡ᆔຬળ   㐿௅ᣣ 2009 ᐕ 1 ᦬ 30 ᣣ(㊄)1. ክ⼏੐㗄(1) ࿖㓙੤ᵹㇱ㐷࿖㓙౒ห⎇ⓥಽ㊁ಎᢎ᝼ߩㆬ⠨ߦߟ޿ߡ
(2) ᖱႎၮ⋚ㇱ㐷․છഥᢎㆬ⠨ᆔຬળ⸳⟎ߦߟ޿ߡ
(3) ቴຬᢎຬㆬ⠨ᆔຬળ⸳⟎ߦߟ޿ߡ

2.ႎ๔੐㗄(1) ╙ 10࡮11 ࿁ᖱႎၮ⋚⛔᜝ቶળ⼏ߦߟ޿ߡ
(2) ฦኾ㐷ᆔຬળ࡮ㇱ㐷ႎ๔(3)ᬺോႎ๔
24

╙ 6 ࿁ㆇ༡ᆔຬળ   㐿௅ᣣ 2009 ᐕ 2 ᦬ 24 ᣣ(Ἣ)
1. ክ⼏੐㗄(1)⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷໧㗴⸃᳿ᡰេⅣႺಽ㊁ᢎ᝼ߩㆬ⠨ߦߟ޿ߡ
(2)ቴຬᢎຬߩㆬ⠨ߦߟ޿ߡ
(3) ⎇ⓥ↢ߩ౉ቇߦߟ޿ߡ

2. ႎ๔੐㗄(1)౒ห೑↪࡮౒ห⎇ⓥ᜚ὐ⹺ቯ↳⺧ߦߟ޿ߡ
(2) ᐔᚑ 21 ᐕᐲవ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺߦߟ޿ߡ   (3) ᖱႎၮ⋚ㇱ㐷ᖱႎᵹㅢಽ㊁․છഥᢎߩㆬ⠨ߦߟ޿ߡ
(4) ╙ 12 ࿁ᖱႎၮ⋚⛔᜝ቶળ⼏ߦߟ޿ߡ
(5) ฦኾ㐷ᆔຬળ࡮ㇱ㐷ႎ๔(6)ᬺോႎ๔

25

 ੱ੐⇣േ
2008. 4. 1 ઃᣂᚲዻ╬ᖱႎၮ⋚ㇱ㐷

᳁ ฬ

ᣥᚲዻ╬

஻ ⠨

෹⍹ ᱜᒾ

ᖱႎࠪࠬ࠹ࡓ⎇ⓥᯏ᭴࿖┙ᖱႎ

ណ ↪

․છಎᢎ᝼

ቇ⎇ⓥᚲ․છഥᚻ

ᖱႎၮ⋚ㇱ㐷㐷ᨋ 㓶ၮ

ቴຬಎᢎ᝼࿖┙ᄢቇᴺੱᄹ⦟వ┵⑼ቇᛛⴚ

ណ ↪

ᄢቇ㒮ᄢቇಎᢎ᝼

⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷ጊ↰ ᕡᄦ

ቴຬᢎ᝼

⁛┙ⴕ᡽ᴺੱࡔ࠺ࠖࠕᢎ⢒㐿⊒ណ ↪

࠮ࡦ࠲࡯ᢎ᝼

⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷቟⮮ ⧷ବ

࿖┙ᄢቇᴺੱጊ᪸ᄢቇಎᢎ᝼ណ ↪

᧛↰ ବ৻

࿖ㅪ㐿⊒⸘↹᧲੩੐ോᚲ㐳ណ ↪

ਣጊ ⋥਽ណ ↪

ᄢỈ ᷡណ ↪

ኪᧄ ⧷ਯណ ↪

᧻ᧄ ⋥ሶ

ቇⴚᖱႎㇱᖱႎၮ⋚⺖

᣹ છ

ቴຬಎᢎ᝼
ቇⴚ࿖㓙੤ᵹㇱ㐷ቴຬᢎ᝼⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷↥ቇቭㅪ៤⎇ⓥຬ
⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷↥ቇቭㅪ៤⎇ⓥຬ
⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷↥ቇቭㅪ៤⎇ⓥຬቇⴚᖱႎㇱᖱႎၮ⋚⺖ၮ⋚ડ↹ଥ㐳
ቇⴚᖱႎㇱᖱႎၮ⋚⺖ၮ⋚ડ↹ଥਥછጯᧄ ᐘ৻ណ ↪

⹺⸽⹺นࠪࠬ࠹ࡓଥ ᛛⴚ⡯ຬ

2008. 7. 1 ઃᣂᚲዻ╬ᖱႎၮ⋚ㇱ㐷

᳁ ฬ

ᣥᚲዻ╬

஻ ⠨

ᷰㆺ 㓁੺

⁛┙ⴕ᡽ᴺੱ⑼ቇᛛⴚᝄ⥝ᯏ᭴

ណ ↪

ഥᢎ
ᖱႎၮ⋚ㇱ㐷

ᚢ⇛⊛ഃㅧ⎇ⓥផㅴ੐ᬺ⎇ⓥຬ⋉੗ ⾫ᰴ

↥ቇቭㅪ៤⎇ⓥຬ⎇ⓥᖱႎㇱᖱႎၮ⋚⺖㐳੖๧ ᾖ᣿

ቇⴚᖱႎㇱᖱႎၮ⋚⺖㐳

⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ᣣ⟎ ❥᣿

ቇⴚᖱႎㇱᖱႎၮ⋚⺖㐳⵬૒ၮ⋚✚ോࠣ࡞࡯ࡊ㐳



26

ណ ↪

⎇ⓥᖱႎㇱᖱႎၮ⋚⺖᧻ᧄ ⋥ሶ

ၮ⋚✚ോࠣ࡞࡯ࡊਥᩏ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ၮ⋚ડ↹ଥ㐳⍹੗ ℂᕺ

ၮ⋚✚ോࠣ࡞࡯ࡊ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ዊ㊁ ᔋጊ㦮 ቁᴦᳯዥ ૫ઍጊ᪸ Პ

᣸㊁ 㐳ౖ᣹ છቇⴚᖱႎㇱᖱႎၮ⋚⺖⹺⸽⹺นࠪࠬ࠹ࡓଥ㢬⷗ ᘮၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓଥ

ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓଥ㐳ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊਥછ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖⹺⸽⹺นࠪࠬ࠹ࡓଥ㐳ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊਥᩏ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓଥ㐳ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊਥᩏ
⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ၮ⋚ડ↹ଥ

ၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ㐳⎇ⓥᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ቇⴚᖱႎㇱᖱႎၮ⋚⺖ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓଥ᫪⼱ ኡၮ⋚ࠪࠬ࠹ࡓࠣ࡞࡯ࡊ

ቇⴚᖱႎㇱᖱႎၮ⋚⺖ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓଥ

2008. 10. 1 ઃᣂᚲዻ╬ቇⴚ࿖㓙੤ᵹㇱ㐷

᳁ ฬ

ᣥᚲዻ╬

ࡢࡦ࡮ࠪࠕࡦ஻ ⠨ណ ↪

↥ቇቭㅪ៤⎇ⓥຬ

2009. 3. 31 ઃ
ᣂᚲዻ╬

᳁ ฬ

ᣥᚲዻ╬

஻ ⠨

᧻↰ ⵨ᐘ

⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷

ㅌ ⡯

ᄢỈ ᷡ

⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷

ㅌ ⡯

27

 ᖱႎၮ⋚ࠨ࡯ࡆࠬ
⎇ⓥ↪⸘▚ᯏࠪࠬ࠹ࡓ
᭴ ᚑ⎇ⓥ↪ᡰេࠪࠬ࠹ࡓߪ‫ޔ‬
ᐔᚑ 18 ᐕ 4 ᦬ߦ‫࠶࡝ࠣࠬࡄࡦࡖࠠࠣࡦࠖ࠹࡯ࡘࡇࡦࠦ࡯ࡄ࡯ࠬޟ‬࠼ၮ⋚ࠪࠬ࠹ࡓ‫(ޠ‬TSUBAME Grid Cluster) ߇ዉ౉ߐࠇ‫ޔ‬ᢎ⡯ຬ‫ޔ‬ᄢቇ㒮ቇ↢෸߮ቇ჻⺰ᢥ⎇ⓥ↢ࠍኻ⽎ߣߒߚቇⴚ⎇ⓥ೑↪ߩߚ߼ߩ೑↪ߐࠇߡ޿ࠆ‫ޕ‬
TSUBAME Grid Cluster ߪ‫ޔ‬NEC ߩࠪࠬ࠹ࡓࠗࡦ࠹ࠣ࡟࡯࡚ࠪࡦᛛⴚࠍਛᔃߦ‫ޔ‬NEC‫ޔ‬AMD‫ޔ‬Sun Microsystems‫ޔ‬ClearSpeed‫ޔ‬Voltaire‫ޔ‬Cluster File System‫ޔ‬NAREGI ߩఝࠇߚᛛⴚࠍ↪޿ߡ᭴▽ߐࠇߡ߅ࠅ‫ޔ‬ᄢⷙᮨਗ೉⸘▚ᯏ෸߮ᵹ૕⸃ᨆ࡮᭴ㅧ⸃ᨆ࡮⸘▚⑼ቇ
╬ߩᄢⷙᮨ⸘▚ಣℂࠍ߅ߎߥ߁ Sun Fire X4600 ෸߮㜞ㅦṶ▚ࠕࠢ࠮࡜࡟࡯࠲ࡏ࡯࠼
ClearSpeed (✚วṶ▚ᕈ⢻(ࡇ࡯ࠢ) 85TFlops)‫ޔ‬㜞ᕈ⢻ࠬ࠻࡟࠶ࠫࠨ࡯ࡃ Sun Fire X4500(✚ኈ㊂ 1PB)‫⿥ޔ‬㜞ା㗬ࠬ࠻࡟࠶ࠫࠪࠬ࠹ࡓ NEC iStorage S1800AT(✚ኈ㊂ 0.5PB)ࠍዉ౉
ߒߡ޿ࠆ‫ޕ‬ᐔᚑ 18 ᐕᐲߦᣥࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓߢዉ౉ߒߡ޿ߚࡌࠢ࠻࡞ဳࠬ࡯ࡄ࡯ࠦࡦ
ࡇࡘ࡯࠲߆ࠄߩࡊࡠࠣ࡜ࡓ⒖ⴕࠍᡰេߔࠆߚ߼ߩࡌࠢ࠻࡞ဳࠦࡦࡇࡘ࡯࠲ NEC SX-8i ෸߮
28ᕆỗߥࠬ࠻࡟࠶ࠫ㔛ⷐߦኻᔕߔࠆߚ߼ߩ㜞ᐲ⎇ⓥ↪ᄢⷙᮨࠬ࠻࡟࠶ࠫၮ⋚(NESTRE)ࠍዉ
౉ߒ‫ߚ߹ޔ‬ᐔᚑ 19 ᐕᐲߦߪಽሶേജቇࠪࡒࡘ࡟࡯࡚ࠪࡦ࡙࡯ࠩߩ㜞ㅦൻߩ࠾࡯࠭ࠍḩߚߔߚ߼ߩಽሶേജቇࠕࠢ࠮࡜࡟࡯࠲‫ޔ‬ᐔᚑ 20 ᐕᐲߦߪ↢‛ᖱႎቇࠪࡒࡘ࡟࡯࡚ࠪࡦ߿⸘▚ൻቇࠪࡒࡘ࡟࡯࡚ࠪࡦ࡙࡯ࠩߩ࠾࡯࠭ࠍḩߚߔߚ߼ߩ㜞ㅦࡈ࡯࡝ࠛᄌ឵Ṷ▚ടㅦⵝ⟎ࠍዉ౉ߒ‫ޔ‬TSUBAME ࠍ฽߻ᧄ࠮ࡦ࠲࡯ߩ⸘▚⾗Ḯ߳ߩ㔛ⷐࠍḩߚߔߴߊ‫߃⛘ޔ‬㑆ߥߊ೑↪ᛛⴚะ਄ਗ߮ߦ⸳஻Ⴧᒝࠍታᣉߒߡ޿ࠆ‫ޕ‬ߘߩ⚿ᨐ‫ޔ‬ᐔᚑ 20 ᐕ 10 ᦬ߦⴕࠊࠇߚ Linpack ᷹ቯߢߪ 77.48TFlops*ࠍ㆐ᚑߒ‫ޔ‬หᐕ
11 ᦬ߦ⊒⴫ߐࠇߚ The 32th Top500 ߩ࡜ࡦࠠࡦࠣߢߪ 6 ᦼㅪ⛯ߢߩᕈ⢻ะ਄ࠍታ⃻ߒ‫ޔ‬ᣣ
ᧄ 2 ૏‫✚ޔ‬ว㗅૏ߢ߽ 29 ૏ߣஜ㑵ߒߚ‫ޕ‬*: ዉ౉ᒰೋߩ⸘᷹୯ࠃࠅ 39.3TFlops‫ޔ‬203%ߩᕈ⢻ะ਄٤ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠠࡖࡦࡄࠬࠣ࡝࠶࠼ၮ⋚ࠪࠬ࠹ࡓ(TSUBAME Grid Cluster)٠ Ṷ▚ࡁ࡯࠼㧦 Sun Mictosystems

Sun Fire X4600‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬ࡁ࡯࠼ᢙ

655 ࡁ࡯࠼ࡊࡠ࠮࠶ࠨ

AMD Opteron (Dual Core)ࡊࡠ࠮࠶ࠨᢙ

5,240 CPU / 10,480 CoreṶ▚ᕈ⢻

50TFlops (ࡇ࡯ࠢᕈ⢻)ਥ⸥ᙘኈ㊂

21.4 ࠹࡜ࡃࠗ࠻

‫ࠕࠚ࠙࠻ࡈ࠰ޣ‬᭴ᚑ‫ޤ‬
OS

Linux

ࠦࡦࡄࠗ࡜╬

C, C++, Fortran࡜ࠗࡉ࡜࡝

OpenMP, MPI, Voltaire MPI, ScaLAPACK, BLAS, LAPACK

ࠕࡊ࡝ࠤ࡯࡚ࠪࡦPGI CDK, IMSL, Intel compiler, ABAQUS, MSC/NASTRAN,
MSC/PATRAN, AVS/Express PCE, AVS/Express Developer,
EnSight, Gaussian, GaussView, Linda, Materials Explorer,
Materials Studio, Discovery Studio Modeling, MOPAC,
Molpro, AMBER, SAS, Mathematica, MATLAB٠ 㜞ㅦṶ▚ࠕࠢ࠮࡜࡟࡯࠲ࡏ࡯࠼㧦 ClearSpeed CSX600‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬
ᨎᢙ

360 ᨎ

Ṷ▚ᕈ⢻

35TFlops (ࡇ࡯ࠢᕈ⢻)29٠ 㜞ᕈ⢻ࠬ࠻࡟࠶ࠫࠨ࡯ࡃ㧦 Sun Mictosystems

Sun Fire X4500‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬ࡁ࡯࠼ᢙ

45 ࡁ࡯࠼

✚ኈ㊂

1 ࡍ࠲ࡃࠗ࠻٠ ⿥㜞ା㗬ࠬ࠻࡟࠶ࠫࠪࠬ࠹ࡓ㧦 NEC

iStorage S1800AT‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬✚ኈ㊂

0.1 ࡍ࠲ࡃࠗ࠻

٤ࡌࠢ࠻࡞ဳࠦࡦࡇࡘ࡯࠲㧦 ᣣᧄ㔚᳇ᩣᑼળ␠ SX-8i‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬ࡊࡠ࠮࠶ࠨᢙ

1CPU

Ṷ▚ᕈ⢻16GFLOPS/CPU(ࡇ࡯ࠢᕈ⢻)ਥ⸥ᙘኈ㊂16 ࠡࠟࡃࠗ࠻

ࡈࠔࠗ࡞ኈ㊂292 ࠡࠟࡃࠗ࠻

‫ࠕࠚ࠙࠻ࡈ࠰ޣ‬᭴ᚑ‫ޤ‬OSSUPER-UXࠦࡦࡄࠗ࡜╬

C, C++, Fortran90࡜ࠗࡉ࡜࡝ASL, MathKisan, MPI, MPI2٤㜞ᐲ⎇ⓥ↪ᄢⷙᮨࠬ࠻࡟࠶ࠫၮ⋚㧦 Sun Microsystems

Sun FireX4500‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬ࡁ࡯࠼ᢙ

20 ࡁ࡯࠼

✚ኈ㊂

0.5 ࡍ࠲ࡃࠗ࠻

٤ಽሶേജቇࠪࡒࡘ࡟࡯࡚ࠪࡦടㅦⵝ⟎㧦 ClearSpeed X620
‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬
ᨎᢙ

252 ᨎ

Ṷ▚ᕈ⢻

15TFlops (ࡇ࡯ࠢᕈ⢻)٤㜞ㅦࡈ࡯࡝ࠛᄌ឵Ṷ▚ടㅦⵝ⟎㧦 TESLA S1070‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬
บᢙ

170 บ

Ṷ▚ᕈ⢻

59TFlops (ࡇ࡯ࠢᕈ⢻)

30ㆇ ↪1) 24 ᤨ㑆ㆇォ⸘▚ᯏࠪࠬ࠹ࡓߪቯᦼὐᬌࠍ㒰߈‫ޔ‬1 ᣣ 24 ᤨ㑆 365 ᣣㆇォߒߡ޿ࠆ‫ޕ‬ᓥߞߡ‫ޔ‬೑↪⠪ߪࠠࡖࡦࡄࠬࡀ࠶࠻ࡢ࡯ࠢࠍ੺ߒ‫⎇ޔ‬ⓥቶ߆ࠄ 24 ᤨ㑆⸘▚ᯏࠪࠬ࠹ࡓࠍ೑↪ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬2) ᄢጟጊ࠮ࡦ࠲࡯෸߮ߔߕ߆ߌบಽቶߩᄛ㑆೑↪
ᄢጟጊ࠮ࡦ࠲࡯෸߮ߔߕ߆ߌบಽቶߪ‫ᦐ᦬ޔ‬ᣣ߆ࠄ㊄ᦐᣣ߹ߢߩᐔᣣߪඦ೨ 8 ᤨ 30 ಽ߆ࠄඦᓟ 5 ᤨ߹ߢ㐿㙚ߒߡ߅ࠅ‫ޔ‬೑↪⠪ߪ┵ᧃቶౝߩ⸳஻ࠍ೑↪ߢ߈ࠆ‫ޕ‬
ඦᓟ 5 ᤨએ㒠ߦߟ޿ߡߪో㙚ᣉ㍤ߔࠆ߇‫ޔ‬ඦᓟ 10 ᤨ߹ߢߪ IC ࠞ࡯࠼ൻߐࠇߚቇ↢⸽޽ࠆ޿ߪりಽ⸽᣿ᦠߦࠃࠅ౉㙚น⢻ߢ޽ࠆ‫ޕ‬3) ࡎࠬ࠹ࠖࡦࠣࠨ࡯ࡆࠬ
TSUBAME ߩ৻ㇱࠍ೑↪ߒߡቇౝะߌࡎࠬ࠹ࠖࡦࠣࠨ࡯ࡆࠬࠍⴕߞߡ޿ࠆ‫ޕ‬
2009 ᐕ 3 ᦬ᧃ⃻࿷‫ޔ‬એਅߩࡊࡠࠫࠚࠢ࠻߇ TSUBAME ࡎࠬ࠹ࠖࡦࠣࠍ೑↪ߒߡ޿ࠆ‫ޕ‬
1.

TOKYO TECH OCW

11. ේሶἹᎿቇ⎇ⓥᚲ

2.

ᷡ⪇ᄢቇࡊࡠࠫࠚࠢ࠻

12. GSIC ㆙㓒ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁࠹ࠬ
࠻↪ࡐ࡯࠲࡞ࠨ࡯ࡃ᭴▽ࡊࡠࠫࠚࠢ࠻

3.

WEB ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬ

13. ᄢቇᖱႎ DB

4.

Tokyo Tech E-Learning for

14. TSUBAME ASPInformation Technology Education5.

㔚᳇㔚ሶᎿቇኾ᡹࡮㔚ሶ‛ℂᎿቇኾ᡹

15. Titech Chem RS

6.

߽ߩߟߊࠅ࠮ࡦ࠲࡯ߔߕ߆ߌบಽ㙚

16. 㜞ᄢㅪ៤ࡊࡠࠫࠚࠢ࠻

7.

↢๮ᤨⓨ㑆ࡀ࠶࠻ࡢ࡯ࠢㅴൻဳᢎ⢒⎇17. ᑪ‛ᖱႎ▤ℂࠪࠬ࠹ࡓⓥ᜚ὐ
8.

ᄢⷙᮨ⍮⼂⾗Ḯߩ૕♽ൻߣᵴ↪ၮ⋚᭴

18. GCOE‫▚⸘ޟ‬਎⇇ⷰߩᷓൻߣዷ㐿‫ޠ‬▽ Knowledge Store9.

19. ੐ോ࡮ᢎോࠪࠬ࠹ࡓ

TITech ChemRS

10. ࿑ᦠ㙚ᖱႎࠪࠬ࠹ࡓ

ታ ❣
‫ޣ‬TSUBAME Grid Cluster ⛔⸘⾗ᢱ (2008 ᐕ 4 ᦬㨪2009 ᐕ 3 ᦬)‫ޤ‬೑↪⠪⊓㍳⁁ᴫ
2008 ᐕ

2009 ᐕ

⊓㍳

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⠪ᢙ

903

1015

1090

1140

1167

1240

1291

1357

1407

1433

1445

1478

31

䈠䈱ઁ
369ੱ
25%

ℂᎿቇ⎇ⓥ⑼
455ੱ
31%

Ꮏቇㇱ
113ੱ
7%
ቇᄖ೑↪⠪
222ੱ
15%

ᖱႎℂᎿቇ⎇ⓥ⑼146ੱ
10%✚วℂᎿቇ⎇ⓥ⑼173ੱ
12%ᚲዻ೎⊓㍳⁁ᴫ(2009 ᐕ 3 ᦬⃻࿷)

䈠䈱ઁ
254
17%

ୃ჻⺖⒟
416
28%

ቇㇱቇ↢
183
12%

ඳ჻⺖⒟
199
14%

ቇᄖ೑↪⠪
221
15%
ᢎຬ
205
14%

⡯ฬ೎⊓㍳⁁ᴫ(2009 ᐕ 3 ᦬⃻࿷)

32

ታ೑↪

ធ⛯

ធ⛯ᤨ㑆*1⠪ᢙ࿁ᢙ(ᤨ:ಽ:⑽)CPU ᤨ㑆
interactive

batch

ว⸘

(ᤨ:ಽ:⑽)(ᤨ:ಽ:⑽)(ᤨ:ಽ:⑽)2008ᐕ4᦬

405

7567

53147:46:29

385:44:24

1018791:12:24

1019176:56:48

2008ᐕ5᦬

421

8934

52554:08:53

670:05:24

2330228:27:00

2330898:32:24

2008ᐕ6᦬

399

8255

61469:49:49

559:29:00

1422289:20:12

1422848:49:12

2008ᐕ7᦬

455

11926

56986:41:37

853:54:00

2831443:15:36

2832297:09:36

2008ᐕ8᦬

389

6863

153643:34:58

1130:34:12

1764195:04:48

1765325:39:00

2008ᐕ9᦬

441

9761

158400:08:00

465:27:36

1996746:31:48

1997211:59:24

2008ᐕ10᦬

410

6978

35891:19:18

1795:09:36

2053795:43:48

2055590:53:24

2008ᐕ11᦬

517

12719

379905:56:31

1892:14:24

1838464:28:12

1840356:42:36

2008ᐕ12᦬

551

14467

437836:03:22

2750:46:48

3088028:55:12

3090779:42:00

2009ᐕ1᦬

514

13747

282407:27:24

1573:11:24

3515456:48:36

3517030:00:00

2009ᐕ2᦬

457

10073

152683:09:43

3007:05:00

3234490:30:00

3237497:35:00

2009ᐕ3᦬

434

9530

72648:05:30

3352:19:04

2575827:02:27

2579179:21:31

1024*21208201897574:11:34

18436:00:52

27669757:20:03

27688193:20:55

ว⸘*1) ធ⛯ᤨ㑆ߪធ⛯㐿ᆎ᦬ࠍၮḰߣߒߡ޿߹ߔ‫ޕ‬33*2) ᐕ㑆ࠍㅢߓߡߩታ೑↪⠪ᢙߢߔ‫ޕ‬ ᢎ⢒↪⸘▚ᯏࠪࠬ࠹ࡓ
᭴ ᚑᢎ⢒↪ᡰេ⸳஻䈲ቇㇱ 1 ᐕ↢䉕ኻ⽎䈮䈜䉎ᖱႎၮ␆⑼⋡ᢎ⢒䈫ቇㇱ 2 ᐕ↢એ਄䉕ኻ⽎䈮䈜䉎ኾ㐷⑼⋡ᢎ⢒䈱ౝኈ䇮෸䈶ᢎ⢒ല₸䉕⠨ᘦ䈚䈩䇮1 䉪䊤䉴䈱ቇ↢ᢙ 80 ੱ䉕න૏䈮ᢎቶ䋨Ṷ⠌ቶ䇮ታ⠌ቶ䋩䈲 4 䈧䈮ಽ䈎䉏䈩䈇䉎䇯䈭䈍䇮ಽ䈎䉏䈩䈇䉎ᢎቶ䈠䉏䈡䉏䈮 iMac 80 บ䈫䊘䉴䊃䉴䉪䊥䊒䊃䊒䊥䊮䉺 5 บ䈱᭴ᚑ䈪䇮એਅ䈱䉲䉴䊁䊛᭴ᚑ࿑䈱䈫䈍䉍䉨䊞䊮䊌䉴䊈䉾䊃䈮ធ⛯䈘䉏䈩䈇䉎䇯‫ࠕࠚ࠙࠼࡯ࡂޣ‬᭴ᚑ‫ޤ‬ࠢ࡜ࠗࠕࡦ࠻┵ᧃቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯3 㓏ታ⠌ቶ84 บ

(iMac G5)

ᄢጟጊᖱႎࡀ࠶࠻ࡢ࡯ࠢṶ⠌᫟

164 บߔߕ߆ߌบᖱႎࡀ࠶࠻ࡢ࡯ࠢṶ⠌ቶ

83 บ✚ኈ㊂ 5.8 ࠹࡜ࡃࠗ࠻

ࡈࠔࠗ࡞ࠨ࡯ࡃ
(NEC iStorage)ᄢጟጊᖱႎࡀ࠶࠻ࡢ࡯ࠢṶ⠌᫟

1บߔߕ߆ߌบᖱႎࡀ࠶࠻ࡢ࡯ࠢṶ⠌ቶ

1บ

34

‫ࠕࠚ࠙࠻ࡈ࠰ޣ‬᭴ᚑ‫ޤ‬ࠝࡍ࡟࡯࠹ࠖࡦࠣࠪࠬ࠹ࡓ

MacOS Xࠕࡊ࡝ࠤ࡯࡚ࠪࡦ

Mathematica, MATLAB, Spartan, MOPAC, JMP,
Microsoft Office,ࡊࡠࠣ࡜ࡒࡦࠣ⸒⺆ಣℂ♽

C, C++, Fortran77, Fortran90, Perl, Ruby, Basic,
Pascal, Java2SDK, Prolog, Common Lispㆇ ↪(1) ೑↪⠪⊓㍳ቇㇱቇ↢ߦߟ޿ߡߪ‫౒ࠬࡄࡦࡖࠠޔ‬ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓߣㅪ៤ߔࠆߎߣߦࠃࠅ‫ޔ‬4 ᦬ߩᤨὐߢోቇ↢߇೑↪ߢ߈ࠆࠃ߁ߦߥߞߡ޿ࠆ‫ޕ‬߹ߚᄢቇ㒮↢ߦߟ޿ߡߪ‫ޔ‬೎ㅜ↳⺧ߔࠆߎߣߦࠃࠅࠠࡖࡦࡄࠬ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ
߆ࠄߩ࠺࡯࠲ឭଏࠍฃߌ‫ޔ‬೑↪ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬(2) ࡀ࠶࠻ࡢ࡯ࠢ࠮ࠠࡘ࡝࠹ࠖ
telnetቇౝߩߺ⸵น

wwwቇᄖߩෳᾖߪ⸵น‫ޔ‬ቇᄖ߆ࠄߩෳᾖߪ⑌ᱛ

ftp

ቇౝߩߺ⸵น

(3) ᄛ㑆೑↪
ᐔᣣ 17:00 એ㒠䈮Ṷ⠌ቶ(ታ⠌ቶ)䈮౉ቶ䈜䉎႐ว䈲 IC 䉦䊷䊄(ቇ↢⸽)䉕૶䈉䇯䈢䈣䈚䇮౉ቶ䈲ᰴ䈱䈫䈍䉍ᤨ㑆೙㒢䈏䈅䉎䇯1)㩷 䉶䊮䉺䊷3 㓏ታ⠌ቶ䋺22:00 䉁䈪䇯2) ᄢጟጊṶ⠌᫟෸䈶䈜䈝䈎䈔Ṷ⠌ቶ䋺21:00 䉁䈪䇯Ṷ⠌ቶ䈱೑↪ᤨ㑆䈏ታ⠌ቶ䉋䉍⍴䈇䈱䈲䇮ᄢጟጊ䈲ⓨ⺞ᯏ䈱㖸䈏࿾ၞ૑᳃䈮㛍㖸䈫䈭䉎ὑ䇯䉁䈢䇮䈜䈝䈎䈔บ䈲㒝ዻ࿑ᦠ㙚䈫౉䉍ญ䈏ห䈛䈪࿑ᦠ㙚䈱㐽㙚䈮ว䉒䈞䈩䈇䉎ὑ䈪䈅䉎䇯䈭䈍࿯ᦐ䊶ᣣᦐ෸䈶⑂ᣣ䈲㒐‽਄䈱ℂ↱䈎䉌౉ቶ䉕⑌ᱛ䈚䈩䈇䉎䇯(4)㩷 ೑↪ᦼ㒢ቇㇱቇ↢䈮䈧䈇䈩䈲ቇ↢⸽䈱᦭ലᦼ㑆䈮Ḱ䈝䉎䇯ᄢቇ㒮↢䈮䈧䈇䈩䈲䇮ᒰ⹥ᐕᐲᧃ䉁䈪೑↪น⢻䇯





35

ታ ❣‫ޣ‬ᢎ⢒↪⸘▚ᯏࠪࠬ࠹ࡓ⛔⸘⾗ᢱ(2008 ᐕ 4 ᦬㨪2009 ᐕ 3 ᦬)‫ޤ‬೑↪⠪⊓㍳⁁ᴫ⊓㍳⠪ᢙቇㇱ 1 ᐕ↢ቇㇱ 2㨪4 ᐕ↢

ᄢቇ㒮↢

1145

3538

329

᦬೎෸䈶ᢎቶ೎ᢎ⢒䉲䉴䊁䊛೑↪⁁ᴫ
㪉㪉㪇㪇㪇
㪉㪇㪇㪇㪇
㪈㪏㪇㪇㪇
㪈㪍㪇㪇㪇
㪈㪋㪇㪇㪇
䊨䉫䉟䊮ઙᢙ

㪈㪉㪇㪇㪇
㪈㪇㪇㪇㪇
㪏㪇㪇㪇
㪍㪇㪇㪇
㪋㪇㪇㪇
㪉㪇㪇㪇
㪇

䉶䊮䉺䊷╙㪈ታ⠌ቶ䉶䊮䉺䊷╙㪉ታ⠌ቶ੐ോዪ㪊ภ㙚╙㪈Ṷ⠌ቶ੐ോዪ㪊ภ㙚╙㪉Ṷ⠌ቶ䈜䈝䈎䈔บṶ⠌ቶ

㪋᦬

㪌᦬

㪍᦬

㪎᦬

㪏᦬

㪐᦬

㪈㪇᦬

㪈㪈᦬

㪈㪉᦬

㪈᦬

㪉᦬

㪊᦬

㪈㪌㪊㪌
㪋㪐㪇
㪊㪐㪈㪊
㪉㪇㪋㪋
㪈㪇㪊㪌

㪉㪈㪈㪌
㪌㪌㪋
㪍㪊㪊㪐
㪊㪏㪏㪈
㪈㪍㪈㪇

㪉㪇㪈㪎
㪍㪌㪋
㪎㪐㪐㪐
㪌㪊㪈㪇
㪈㪌㪉㪈

㪉㪈㪉㪐
㪍㪐㪇
㪐㪊㪌㪍
㪍㪉㪍㪊
㪈㪌㪋㪋

㪈㪊㪏
㪌㪋
㪉㪋㪋㪍
㪍㪋㪐
㪉㪎㪇

㪎㪋
㪈㪈
㪈㪇㪇㪇
㪏㪈
㪈㪇㪎

㪐㪋㪐
㪉㪎㪎
㪌㪎㪐㪍
㪉㪇㪇㪊
㪌㪏㪇

㪈㪇㪍㪏
㪊㪎㪋
㪌㪏㪐㪈
㪉㪍㪐㪊
㪍㪊㪍

㪏㪊㪏
㪊㪍㪉
㪌㪎㪊㪉
㪊㪈㪍㪏
㪍㪎㪏

㪎㪉㪊
㪊㪍㪊
㪋㪍㪐㪐
㪉㪌㪎㪐
㪎㪇㪎

㪈㪏㪇
㪈㪋㪍
㪊㪐㪏㪋
㪈㪌㪎㪐
㪊㪇㪌

㪍㪉
㪍㪇
㪈㪇㪐㪏
㪈㪊㪌
㪏㪎

36

 ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓ                         ᭴ ᚑ ࠠࡖࡦࡄࠬᖱႎࡀ࠶࠻ࡢ࡯ࠢ(Titanet)ߪ‫(ޔ‬1)㗎ஜᕈ‫(ޔ‬2)㜞ㅦᕈ‫(ޔ‬3)቟ోᕈߩ 3 ߟࠍᩇߣߒߡ⸳⸘ߐࠇߚࠬ࠲࡯ဳ㈩✢ߩࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓߢ޽ࠆ‫ޕ‬ᄢጟጊ࡮ߔߕ߆ߌบ߅ࠃ߮
↰↸ߩฦࠠࡖࡦࡄࠬߦၮᐙ࡞࡯࠲ࠍ⸳⟎ߒ‫ߩߘޔ‬㈩ਅߩฦ࿾඙ߩ޽ࠆᑪ‛ߦ᜚ὐࠬࠗ࠶࠴
ࠍ‫ߦࠄߐޔ‬࿾඙ౝߩਥⷐᑪ‛ߦᑪ‛ࠬࠗ࠶࠴ࠍߘࠇߙࠇ⸳⟎ߒߡ޿ࠆ‫ޕ‬ၮᐙ࡞࡯࠲෸߮᜚
ὐࠬࠗ࠶࠴ߦߟ޿ߡߪ‫ޔ‬㓚ኂ߇⊒↢ߒߡ߽⍍ᤨߦಾࠅᦧ߃ࠄࠇࠆ౬㐳ൻ᭴ᚑߣߒߡ޿ࠆ‫ޕ‬ᑪ‛ࠬࠗ࠶࠴ߦߪ‫ޔ‬਄ᵹ 1 ࠡࠟࠍ 2 ࡐ࡯࠻‫ޔ‬ਅᵹߦ 100 ࡔࠟࠍ 48 ࡐ࡯࠻஻߃ߚࠬࠗ࠶࠴ࠍ
ዉ౉ߒ‫⎇ޔ‬ⓥቶ޽ߚࠅ 1 ࡐ࡯࠻એ਄ࠍഀࠅᒰߡน⢻ߣߒ‫ޔ‬೑↪⁁ᴫߦᔕߓߡᯏེߩჇ⸳‫ޔ‬੤឵ࠍⴕߞߡ߅ࠅ‫ࠅࠃޔ‬㜞ㅦߦ࠺࡯࠲વㅍߒߚ޿႐วߦߪࠡࠟࡆ࠶࠻ߩࡐ࡯࠻ࠍឭଏน⢻ߣߒߡ޿ࠆ‫ޕ‬ቇᄖធ⛯ߦߟ޿ߡߪ‫ࠍࠬ࡯ࠚࡈ࡯࠲ࡦࠗ࠻࠶ࡆࠟࠡޔ‬஻߃ߚࡊࡠࠠࠪኾ↪ࠨ࡯ࡃ෸߮
ࡈࠔࠗࠕ࠙ࠜ࡯࡞ࠍㅢߓߡ‫ޔ‬ᄢጟጊࠠࡖࡦࡄࠬ߆ࠄቇⴚᖱႎࡀ࠶࠻ࡢ࡯ࠢ(SINET3)‫ޔ‬
WIDE/APAN/JGN2plus ࡊࡠࠫࠚࠢ࠻ߣធ⛯ߒߡ޿ࠆ‫ޔߡߒߣ↪ࡊ࠶ࠕࠢ࠶ࡃޔߚ߹ޕ‬໡↪ ISP(ߔߕ߆ߌบ࿾඙㧧ࡌࠬ࠻ࠛࡈࠜ࡯࠻ 100 ࡔࠟࡆ࠶࠻‫↸↰ޔ‬࿾඙㧧100 ࡔࠟࡆ࠶࠻)ߣធ⛯ߒߡ޿ࠆ‫ޔߚ߹ޕ‬ᐔᚑ 20 ᐕᐲߦߪኻᄖធ⛯࡞࡯࠲ߩჇᒝࠍⴕ޿‫ߩ࠻࡯࡞࡞ࡈޔ‬ឭଏ߇น⢻ߣߥߞߚ‫ޕ‬
࿑ 2-3.1 ߦࠠࡖࡦࡄࠬᖱႎࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓߩ᭎ᔨ࿑ࠍ␜ߒߚ‫ޕ‬ʊ ࠠࡖࡦࡄࠬ㑆ࡀ࠶࠻ࡢ࡯ࠢ
2004 ᐕᐲ߆ࠄ࿁✢ᬺ⠪ࠃࠅ DF ࠍ୫↪ߒ‫ޔ‬એਅߩߣ߅ࠅធ⛯ߒߡ޿ࠆ‫ޕ‬(1) ᄢጟጊࠠࡖࡦࡄࠬ㧙ߔߕ߆ߌบࠠࡖࡦࡄࠬ㑆(4 ⧌)
4 ⧌ߩ߁ߜ 2 ⧌ߪశᄙ㊀ൻⵝ⟎(WDM)ࠍ↪޿ߡ 6 ࠡࠟࡆ࠶࠻(6 ࠡࠟࡆ࠶࠻ߩ߁ߜ 2 ࠡࠟࡆ࠶࠻ߪࠬ࡯ࡄ࡯SINET ⎇ⓥࡊࡠࠫࠚࠢ࠻↪ߣߒߡ૶↪)ߢធ⛯ߒߡ޿ࠆ‫ޕ‬2 ⧌ߪ 10 ࠡࠟࡆ࠶࠻ࠗ࡯ࠨࡀ࠶࠻ߣ 1 ࠡࠟࡆ࠶࠻ࠗ࡯ࠨࡀ࠶࠻ߣߒߡធ⛯ߒߡ޿ࠆ‫ޕ‬(2) ᄢጟጊࠠࡖࡦࡄࠬ㧙↰↸ࠠࡖࡦࡄࠬ(2 ⧌) 2004 ᐕᐲߩ DF ዉ౉ߦࠃࠅࠡࠟࡆ࠶࠻ធ⛯ߣߥࠅ‫ޔ‬㒝ዻ㜞ᩞߢߩ IT ᢎ⢒ߩផㅴࠍታ⃻ߒߡ޿ࠆ‫ޕ‬
߹ߚ‫ࠬࡄࡦࡖࠠోޔ‬㑆ߦ࿁✢߿ᯏེߩࡔࡦ࠹࠽ࡦࠬ߿㓚ኂߦ஻߃ߡ VPN ࠍ૶↪ߒߚࡃ࠶ࠢࠕ࠶ࡊ✢ࠍ↪ᗧߒߡ߅ࠅ‫ޔ‬శࡈࠔࠗࡃ࡯ߩ࿁✢߇૶↪ߢ߈ߥ޿႐วߦ߽ࠠࡖࡦࡄࠬ㑆ౝ✢㔚⹤ࠍ฽߻߶ߣࠎߤߩࡀ࠶࠻ࡢ࡯ࠢࠨ࡯ࡆࠬࠍ⛽ᜬߢ߈ࠆࠃ߁ߦߥߞߡ޿ࠆ‫ޕ‬37

ʊ ࠠࡖࡦࡄࠬή✢ LAN
 ࠠࡖࡦࡄࠬ౏ⴐࡀ࠶࠻ࡢ࡯ࠢ(ή✢LAN)ߪ2004ᐕᐲࠃࠅ᭴▽ࠍ㐿ᆎߒ‫ޔ‬2009ᐕ3᦬⃻࿷ߢ‫ޔ‬⚂600ߩή✢LANࠕࠢ࠮ࠬࡐࠗࡦ࠻߆ࠄ᭴ᚑߐࠇߡ޿ࠆ‫ޕ‬ቇ↢߇ਥߦ೑↪ߔࠆ⻠⟵ቶ‫ޔ‬ᖱႎࡀ࠶࠻ࡢ࡯ࠢṶ⠌ቶ‫ޔ‬࿑ᦠ㙚‫ޔ‬㘩ၴ‫⻠ޔ‬ၴ‫࡞ࠢ࡯ࠨޔ‬᫟߅ࠃ߮ࡈࠚ࡜ࠗ࠻ળ⼏ቶ‫࠲ࠫ࠺ޔ‬࡞ᄙ⋡⊛ࡎ࡯࡞‫ߩߤߥ࡞࡯ࡎߌ߆ߕߔޔ‬ળ⼏↪ߩࠬࡍ࡯ࠬࠍࠞࡃ࡯ߒߡ߅ࠅ‫ޔ‬ή✢LANߩⷙᩰߣߒߡߪ‫ޔ‬IEEE 802.11 a/b/gߦኻᔕߒߡ޿ࠆ‫ޕ‬ ធ⛯ᤨߩ⹺⸽ߪ‫౒ࠬࡄࡦࡖࠠޔ‬ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓߩ࠙ࠚࡉ⹺⸽ᣇᑼࠍណ↪ߒ‫ࡘࠠ࠮ޔ‬࡝࠹ࠖࠍ⠨ᘦߦ޿ࠇߚ⸳⸘ߦߥߞߡ޿ࠆ‫ౕޕ‬૕⊛ߦߪ‫ޔ‬೑↪⠪߇࠙ࠚࡉࡉ࡜࠙ࠩࠍ⿠േߔ
ࠆߣ‫౒ࠬࡄࡦࡖࠠޔ‬ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓߩࡐ࡯࠲࡞ࡍ࡯ࠫ߇⴫␜ߐࠇ‫ߢߎߘޔ‬ICࠞ࡯࠼߹ߚߪࡑ࠻࡝ࠢࠬࠦ࡯࠼⹺⸽ࠍㆬᛯߒ‫⸽⹺ޔ‬ᚻ⛯߈ࠍⴕ߁ߣ‫ޔ‬ή✢ߢߩធ⛯߽น⢻ߣߥࠆ‫ޕ‬ߎࠇߦࠃߞߡ‫ޔ‬ቇ↢࡮ᢎ⡯ຬߩࡀ࠶࠻ࡢ࡯ࠢࠕࠢ࠮ࠬⅣႺ߇㘧べ⊛ߦะ਄ߒߡ޿ࠆ‫ޕ‬

࿑ 2-3.1 ࠠࡖࡦࡄࠬᖱႎࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓ㧔᭎ᔨ࿑㧕ㆇ↪ࠨ࡯ࡆࠬ ೨ㅀߒߚၮᐙࡀ࠶࠻ࡢ࡯ࠢߩឭଏߦട߃‫ޔ‬એਅߩฦ⒳ࠨ࡯ࡆ߽ࠬឭଏߒߡ޿ࠆ‫ޕ‬38

(1) ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬ (DNS(ࠦࡦ࠹ࡦ࠷)ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬ‫ޔ‬WWW ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬ)ฦ⒳ࠨ࡯ࡃࠍ࠮ࡦ࠲࡯ౝߦ⸳⟎ߒߡ㓸ਛ▤ℂࠍⴕߞߡ޿ࠆ‫ޔࠅࠃߦࠇߎޕ‬ฦᡰ✢ߦ߅޿
ߡߩ▤ℂ૞ᬺ(Ԙࡠࠣᖱႎߩ⋙ⷞ‫ޔ‬ԙ࠮ࠠࡘ࡝࠹ࠖࡄ࠶࠴ߩㆡ↪‫ޔ‬Ԛ࠰ࡈ࠻࠙ࠚࠕᦝᣂ૞ᬺ‫ޔ‬ԛ㓚ኂᤨኻᔕ(ࡀ࠶࠻ࡢ࡯ࠢ஗ᱛ╬ߦࠃࠆ㓚ኂߩ᜛ᄢ㒐ᱛ‫ⵍޔ‬ኂ⺞ᩏ෸߮ႎ๔‫ߩࡓ࠹ࠬࠪޔ‬ᓳᣥ૞ᬺ╬ߥߤ))ࠍᄢ᏷ߦ೥ᷫߔࠆߎߣ߇ߢ߈ࠆߣหᤨߦ‫ࠍࠖ࠹࡝ࡘࠠ࠮ࠢ࡯ࡢ࠻࠶ࡀޔ‬ᒝൻߔࠆߎߣ߇น⢻ߣߥߞߡ޿ࠆ‫ޕ‬
WWW ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬߪ‫⛽ߩࠬࡆ࡯ࠨޔ‬ᜬ▤ℂߦᔅⷐߥ೑↪⽶ᜂ㊄ࠍ޿ߚߛ޿ߡ޿
ࠆ‫ޔ߅ߥޕ‬ᐔᚑ 20 ᐕᐲᧃ߆ࠄ Web Application Firewall ߩዉ౉ࠍ㐿ᆎߒߡ޿ࠆ‫ޕ‬ࠨ࡯ࡃઍⴕࠨ࡯ࡆࠬ⊓㍳ઙᢙ (2) ࡈࠔࠗ࡞੤឵࠰ࡈ࠻࠙ࠚࠕᬌ⍮ࠨ࡯ࡆࠬ2007 ᐕ 10 ᦬ࠃࠅ‫ᧄޔ‬ቇࠠࡖࡦࡄࠬࡀ࠶࠻ࡢ࡯ࠢࠍ੺ߒߚ⪺૞ᮭଚኂⴕὑߩ㒐ᱛᒝൻߩߚ߼‫࡞ࠗࠔࡈޔ‬੤឵࠰ࡈ࠻࠙ࠚࠕᬌ⍮ࠨ࡯ࡆࠬߩឭଏࠍ㐿ᆎߒߚ‫ޔߪࠬࡆ࡯ࠨߩߎޕ‬ቇᄖߣߩㅢାౝኈࠍᯏ᪾⊛ߦ್ᢿߒ‫⪺ޔ‬૞ᮭଚኂⴕὑߦ⩄ᜂߔࠆ߅ߘࠇߩ޽ࠆ࠰ࡈ࠻࠙ࠚࠕࠍ
ᬌ⍮ߒ‫ߦޠ࡯ࠪ࡝ࡐ↪૶ޟޔ‬㆑෻ߔࠆ႐วߦߪㆤᢿߒ‫ޔ‬ᡰ✢ࡀ࠶࠻ࡢ࡯ࠢߩㅪ⛊ᜂᒰ⠪ߦㅢ⍮ߔࠆࠨ࡯ࡆࠬߢ޽ࠆ‫ᧄޕ‬ᐕᐲ‫ోޔ‬ቇߩᵹ㊂Ⴧടߦ઻޿‫ޔ‬10GbE ൻࠍⴕߞߚ‫ޕ‬
2009 ᐕ 3 ᦬ ᧃ ᣣ ᤨ ὐ ߢ ߩ ᬌ ⍮ ኻ ⽎ ߪ ‫ ޔ‬BitTorrent,  Gnutella,  Kazaa,  Share,
WinMX, Winny, eDonky, eDonkey2000, Direct Connect, Gnutella Ultrapeer ߣߥߞߡ޿ࠆ‫ߣࠕࠚ࠙࠻ࡈ࠰ߩࠄࠇߎޔߚ߹ޕ‬ห╬ߩㅢାࠍⴕ߁࠰ࡈ࠻࠙ࠚࠕ߽ᬌ⍮ߐࠇࠆߎߣߣߥߞߡ޿ࠆ‫ޕ‬(3) ࡈࠔࠗࠕ࠙ࠜ࡯࡞ࠨ࡯ࡆࠬ
ኾ↪ࡈࠔࠗࠕ࠙ࠜ࡯࡞ᯏེߦࠃࠆ㜞ㅦಣℂࠍⴕߞߡ޿ࠆ‫ޕ‬ᡰ✢Ფߦ‫(ࡉࠚ࠙ޔ‬HTTP)߿ࡔ࡯࡞(POP3, SMTP)ߥߤߩࠨ࡯ࡆࠬߏߣߩ᧦ઙࠍᜰቯߢ߈‫ޔ‬ਇⷐߥࡐ࡯࠻ࠍ㐽ߓߡ߅ߊߎߣߢ‫ޔ‬ਇᱜଚ౉ߩน⢻ᕈࠍᷫዋߐߖࠆലᨐ߇޽ࠆ‫౉ޔߚ߹ ޕ‬ࠅ(inbound)ߣ಴(outbound)ߩ࠻࡜ࡅ࠶ࠢࠍ୘೎ߦᜰቯน⢻ߢ޽ࠅ‫ޔ‬ቇᄖߩࠨ࡯ࡆࠬࠍ೑↪
ߔࠆ߇ᡰ✢ߩ┵ᧃߦߪࠕࠢ࠮ࠬߢ߈ߥ޿ࠃ߁ߥ⸳ቯ߽น⢻ߣߒߡ޿ࠆ‫ޕ‬39

(4) DNS ࠨ࡯ࡃࠨ࡯ࡆࠬ
᧲Ꮏᄢ࠻࠶ࡊ࠼ࡔࠗࡦߩฬ೨ᒁ߈▤ℂࠍⴕߞߡ޿ࠆ‫ޔߚ߹ޕ‬ቇౝࠍኻ⽎ߣߒߡ‫ޔ‬DNS ࠨ࡯
ࡃ(ࡈ࡞࡝࠱࡞ࡃ) ࠍឭଏߒߡ޿ࠆ‫ޕ‬(5) ࠬࠢ࡝࡯࠾ࡦࠣࠨ࡯ࡆࠬ
᧲Ꮏᄢߩቇౝࡀ࠶࠻ࡢ࡯ࠢᐙ✢ߣቇᄖߣߩធ⛯ὐߦ߅޿ߡ‫࠻ࠬࡎޔ‬න૏ߢㅢାߩน‫ޔ‬ਇนߩ⸳ቯࠍⴕߞߡ޿ࠆ‫ࠍࠬࡆ࡯ࠨߩߎ ޕ‬೑↪ߔࠆߎߣߦࠃࠅ‫ޔ‬ห৻ߩᡰ✢ౝ߿‫ޔ‬ቇౝߣߩㅢାߩߺࠍⴕߥ߁ߎߣࠍ⋡⊛ߣߒߚࡎࠬ࠻ߦߟ޿ߡ‫ޔ‬ቇᄖ߆ࠄߩㅢାࠍ೙㒢ߢ߈‫ޔ‬ਇᱜⷙࠕࠢ࠮ࠬߩኻ⽎ߣߥࠆߎߣࠍ㒐ߋߎߣ߇น⢻ߦߥߞߡ޿ࠆ‫ޕ‬(6) ࡊࡠࠠࠪࠨ࡯ࡆࠬ ቇౝ߆ࠄߩࠕࠢ࠮ࠬࠍኻ⽎ߦ‫ޔ‬WWW‫ޔ‬ftp‫ࠍ࠻ࠬࠛࠢ࡝ߩ╬ࠣࡦࡒ࡯࡝࠻ࠬޔ‬ਛ⛮ߒߡ޿ࠆ‫߇ࠣࡦ࠾࡯࡝ࠢࠬޔࠅࠃߦࠇߎޕ‬ដ߆ߞߡ޿ࠆ‫߇ࠬ࡟࠼ࠕ࠻࡯ࡌࠗ࡜ࡊߪߊߒ߽ޔ‬ഀࠅᒰߡࠄࠇߡ޿ࠆࠢ࡜ࠗࠕࡦ࠻߆ࠄ WWW ߿ ftp ╬߇೑↪ߢ߈ࠆ‫ޕ‬(7) ⥄േ IPv6 ࠻ࡦࡀ࡝ࡦࠣ㒐ᱛࠨ࡯ࡆࠬ
IPv6 over IPv4 ࠻ࡦࡀ࡝ࡦࠣࠍㆤᢿߒ‫ޔ‬Ꮧᦸߔࠆᡰ✢߆ࠄߩ IPv6 over IPv4 ࠻ࡦࡀ࡝ࡦ
ࠣ(6to4‫ޔ‬Teredo‫ޔ‬ᚻേ࠻ࡦࡀ࡝ࡦࠣ)ㅢㆊࠍㆡቱ⸵นߒߡ޿ࠆ‫ޕ‬(8) ᤨೞᖱႎ(NTP)ࠨ࡯ࡆࠬ
2005, 2006 ᐕᐲߦ GPS, CDMA ࠍᤨೞḮߣߔࠆᤨೞࠨ࡯ࡃࠍᄢጟጊࠠࡖࡦࡄࠬ࡮ߔߕ߆
ߌบࠠࡖࡦࡄࠬߦዉ౉ߒߚ‫ޕ‬ߎࠇߦࠃࠅ‫ޔ‬ฦ⸘▚ᯏߦౝ⬿ߐࠇߡ޿ࠆᤨ⸘ࠍᱜ⏕ߦᮡḰᤨೞߦวࠊߖࠆߎߣ߇น⢻ߦߥࠅ‫ߩ࡞࡯ࡔޔ߿ࡊࡦ࠲ࠬࡓࠗ࠲ߩ࡞ࠗࠔࡈޔ‬ㅍାᤨೞߩਇ৻⥌ߦࠃࠆ㓚ኂߩ࿁ㆱ߿‫࠶ࡀޔ‬࠻ࡢ࡯ࠢ࠻࡜ࡉ࡞⊒↢ᤨߩ⇣ߥࠆ⸘▚ᯏ㑆ߢߩࡠࠣߩ⸃ᨆ߇ኈᤃߦߥࠆ‫ޕ‬(9) ⎇ⓥࡊࡠࠫࠚࠢ࠻߳ߩᡰេ
2002 ᐕ 10 ᦬ߦࠬ࡯ࡄ࡯SINET ↪ࡁ࡯࠼ⵝ⟎߇ዉ౉ߐࠇ‫ޔ‬ኻᄖធ⛯ߩ㜞ㅦൻߣߣ߽ߦ‫ޔ‬‫ޟ‬㜞ࠛࡀ࡞ࠡ࡯࡮ᩭⲢว⑼ቇ‫ޟޔޠ‬ቝቮ⑼ቇ࡮ᄤᢥቇ‫ޟޔޠ‬ㆮવሶᖱႎ⸃ᨆ(ࡃࠗࠝࠗࡦࡈࠜ
ࡑ࠹ࠖࠢࠬ)‫ࠍ╬࠲࡯ࡘࡇࡦࠦ࡯ࡄ࡯ࠬޟޔޠ‬ㅪേߔࠆಽᢔࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ(GRID)‫╬ޠ‬ߩవ┵⊛⎇ⓥಽ㊁ߦ߅ߌࠆᧄቇߩ⎇ⓥࡊࡠࠫࠚࠢ࠻ะߌߦࠡࠟࡆ࠶࠻ኾ↪✢ߩឭଏ෸߮
ࠠࡖࡦࡄࠬࡀ࠶࠻⚻↱ߢߩធ⛯ⅣႺ߇ឭଏߐࠇߚ‫ޕ‬ߎࠇࠄቇౝߩ⎇ⓥࡊࡠࠫࠚࠢ࠻ߦኻߒߡ‫ޔ‬SINET3 ࡁ࡯࠼߆ࠄ⎇ⓥࡊࡠࠫࠚࠢ࠻ߩᚲዻ
ߔࠆ⎇ⓥቶ߹ߢߩ᭴ౝࠡࠟࡆ࠶࠻ኾ↪✢〝‫⎇ޔ‬ⓥᯏེធ⛯↪ࡀ࠶࠻ࡢ࡯ࠢࠬࠗ࠶࠴╬ߩឭଏਗ߮ߦࡀ࠶࠻ࡢ࡯ࠢ᭴▽ߩߚ߼ߩᛛⴚᡰេࠍⴕߞߡ޿ࠆ‫ޕ‬߹ߚ‫ޔ‬JGN2plus, APAN ធ⛯ࡊࡠࠫࠚࠢ࠻ߦߟ޿ߡ߽ห᭽ߩᡰេࠍⴕߞߡ޿ࠆ‫ޕ‬40 ࠠࡖࡦࡄࠬ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ
᭴ ᚑ
ᐔᚑ 17 ᐕᐲ‫ޔ‬࿖┙ᄢቇᴺੱߢߪೋ߼ߡ PKI㧔౏㐿㎛ᥧภᣇᑼࠍ೑↪ߒߚ࠮ࠠࡘ࡝࠹ࠖၮ
⋚㧕ࠍ↪޿ߚ‫ోޟ‬ቇ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ‫ߩޠ‬ዉ౉ࠍⴕ޿㧘ᐔᚑ 18 ᐕ 4 ᦬߆ࠄᧄቇ᭴ᚑ
ຬోຬߦኻߒోቇ౒ㅢߩᖱႎၮ⋚ߦኻߔࠆࠕࠞ࠙ࡦ࠻㧔એਅ‫᧲ޔ‬Ꮏᄢ౒ㅢࠕࠞ࠙ࡦ࠻ߣ޿
߁‫ޕ‬㧕ࠍઃਈߔࠆߣଏߦ‫᧲ޟ‬Ꮏᄢ IC ࠞ࡯࠼‫ޔޠ‬‫ోޟ‬ቇ౒ㅢࡔ࡯࡞ࠕࠞ࠙ࡦ࠻‫ࠍޠ‬ឭଏߒߡ޿
ࠆ‫ޕ‬
࿑ 2-4.1 ߦ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ෸߮ోቇ౒ㅢࡔ࡯࡞ࠪࠬ࠹ࡓߩ᭴ᚑ᭎ᔨ࿑ࠍ␜ߔ‫ޕ‬
࿑ 2-4.1 ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ෸߮ోቇ౒ㅢࡔ࡯࡞ࠪࠬ࠹ࡓ ㆇ ↪(1) ᧲Ꮏᄢࡐ࡯࠲࡞
ቇౝߩᖱႎၮ⋚ࠨ࡯ࡆࠬ߿ฦ⒳ᖱႎࠨ࡯ࡆࠬ㧔એਅ‫ޔ‬ᖱႎࠨ࡯ࡆࠬߣ޿߁‫ޕ‬㧕ߦኻߔࠆ⛔৻⊛ߥ೑↪ߩ⓹ญߣߒߡ‫᧲ޟ‬Ꮏᄢࡐ࡯࠲࡞㧔Tokyo Tech Portal㧕‫ߣޠ‬๭߱࠙ࠚࡉࡍ࡯
ࠫࠍ↪ᗧߒߡ޿ࠆ‫᧲ߩߎޕ‬Ꮏᄢࡐ࡯࠲࡞ߦ৻ᐲࡠࠣࠗࡦߔࠆߎߣߦࠃࠅ‫ޔ‬ฦ⒳ᖱႎࠨ࡯
ࡆࠬࠍ೑↪ߔࠆߎߣ㧔ࠪࡦࠣ࡞ࠨࠗࡦࠝࡦ㧕߇ߢ߈ࠆࠃ߁ߦߥߞߡ޿ࠆ‫ޕ‬41

(2)೑↪น⢻ߥᖱႎࠨ࡯ࡆࠬ
2008 ᐕᐲᧃ⃻࿷‫᧲ޔ‬Ꮏᄢࡐ࡯࠲࡞਄߆ࠄ೑↪น⢻ߥᖱႎࠨ࡯ࡆࠬߪએਅߩߣ߅ࠅߢ޽ࠆ‫ޕ‬  ࡮ోቇ౒ㅢࡔ࡯࡞㧔࠙ࠚࡉࡔ࡯࡞‫▤ޔ‬ℂ⠪ᯏ⢻ߥߤ㧕  ࡮᧲Ꮏᄢࠠࡖࡦࡄࠬ౏ⴐࡀ࠶࠻ࡢ࡯ࠢ(ή✢ LAN)  ࡮‛ຠ╬⺧᳞ࠪࠬ࠹ࡓ
࡮⻠⟵ᡰេࠪࠬ࠹ࡓ(LMS)࡮ቇౝࡀ࠶࠻ࡢ࡯ࠢⅣႺ߳ߩធ⛯(SSL-VPN ធ⛯)
࡮Tokyo Tech OCW  ࡮MS ࠰ࡈ࠻࠙ࠚࠕߩឭଏ  ࡮᧲Ꮏᄢ࡝ࠨ࡯࠴࡝ࡐࠫ࠻࡝(T2R2)  ࡮TDL ࠝࡦ࡜ࠗࡦ࡝ࠢࠛࠬ࠻  ࡮ੱ੐⛎ਈ Web ࠪࠬ࠹ࡓ  ࡮ᢎോ Web ࠪࠬ࠹ࡓታ ❣(1) ⹺⸽࡮⹺นࠪࠬ࠹ࡓ㧛ోቇ౒ㅢࡔ࡯࡞ߩㆇ↪⁁ᴫࠍએਅߦ␜ߔ‫ޕ‬
2009 ᐕ 3 ᦬᧲Ꮏᄢࡐ࡯࠲࡞࠲ࠗࡓࠕ࠙࠻ᤨ㑆ㆬᛯᯏ⢻ߩዉ౉

2009 ᐕ 1 ᦬ࠪࡦࠣ࡞ࠨࠗࠝࡦߩࡃ࡯࡚ࠫࡦࠕ࠶ࡊ

2008 ᐕ

9᦬

ᢎോ Web ࠪࠬ࠹ࡓߣߩㅪ៤㐿ᆎ

2008 ᐕ 7 ᦬ㅅᖺࡔ࡯࡞⥄േ೥㒰ᯏ⢻ߩዉ౉

2008 ᐕ

ੱ੐⛎ਈ Web ࠪࠬ࠹ࡓߣߩㅪ៤㐿ᆎ4᦬(2) ోቇ౒ㅢࡔ࡯࡞ߩ೑↪⁁ᴫࠍએਅߦ␜ߔ‫ޕ‬࡮ోቇ౒ㅢࡔ࡯࡞ࠕ࠼࡟ࠬ⊒ⴕઙᢙ㧔2009 ᐕ 3 ᦬ 31 ᣣ⃻࿷㧕ోቇ౒ㅢࡔ࡯࡞ࠕࠞ࠙ࡦ࠻⊒ⴕઙᢙ  

13,086
1,736 (13%)

㧔ౝ⸶㧕Ᏹൕ⡯ຬ

1,323 (10%)

㕖Ᏹൕ⡯ຬ

390 ( 3%)ࠕࠢ࠮ࠬࠞ࡯࠼ᚲ᦭⠪ቇㇱቇ↢3,843 (29%)ᄢቇ㒮ቇ↢㧔ୃ჻⺖⒟㧕

4,103 (32%)ᄢቇ㒮ቇ↢㧔ඳ჻ᓟᦼ⺖⒟㧕

1,579 (12%)
112 ( 1%)

⎇ⓥ↢╬

42

࡮ోቇ౒ㅢࡔ࡯࡞೑↪⁁ᴫ㧔2008 ᐕ 4 ᦬ 1 ᣣ㨪2009 ᐕ 3 ᦬ 31 ᣣ㧕

ਁઙ㪆᦬
㪋㪃㪇㪇㪇

ฃା

㪊㪃㪌㪇㪇
㪊㪃㪇㪇㪇
㪉㪃㪌㪇㪇
㪉㪃㪇㪇㪇
㪈㪃㪌㪇㪇

ㅍା

㪈㪃㪇㪇㪇
㪌㪇㪇

㪆㪇
㪊

ᐕ᦬

㩾 㪇㪐

㪆㪇
㪉
㩾 㪇㪐

㪆㪇
㪈
㩾 㪇㪐

㪆㪈
㪉
㩾 㪇㪏

㪆㪈
㪈
㩾 㪇㪏

㪆㪈
㪇
㩾 㪇㪏

㪆㪇
㪐
㩾 㪇㪏

㪆㪇
㪏
㩾 㪇㪏

㪆㪇
㪎
㩾 㪇㪏

㪆㪇
㪍
㩾 㪇㪏

㪆㪇
㪌
㩾 㪇㪏

㩾 㪇㪏

㪆㪇
㪋

㪇




43

 ࠰ࡈ࠻࠙ࠚࠕ൮᜝ᄾ⚂᭎ ⷐቇౝߢ߽ᐢߊ૶ࠊࠇߡ޿ࠆ Microsoft Windows ෸߮ Microsoft Office ߦߟ޿ߡ‫ޔ‬ᐔᚑ 19
ᐕ 4 ᦬ߦࠠࡖࡦࡄࠬ൮᜝࡜ࠗ࠮ࡦࠬᄾ⚂(Campus Agreement)ࠍ✦⚿ߒߚ‫⎇ޔߪࠇߎޕ‬ⓥቶ
╬ߦ߅ߌࠆ਄⸥࠰ࡈ࠻࠙ࠚࠕߩ⾼౉⚻⾌ߩシᷫ(ᄢቇో૕ߢߩ⚻⾌೥ᷫ)‫ޔ‬ਇᱜࠦࡇ࡯ߩᛥᱛ
ߔࠆߎߣࠍ⋡⊛ߦዉ౉ߒߚ߽ߩߢ޽ࠆ‫ޕ‬ߘߩ⚿ᨐ‫ޔ‬ᐔᚑ 20 ᐕᐲߩታ❣ߢ⚂ 1.6 ం౞ߩ⚻⾌߇೥ᷫߐࠇ‫ޔ‬ട߃ߡ‫ޔ‬ήఘߢឭଏߐࠇ
ࠆࠝࡊ࡚ࠪࡦߦࠃࠅᧄቇቇ↢߇਄⸥࠰ࡈ࠻࠙ࠚࠕࠍ୘ੱᚲ᦭ߩ PC ߦࠗࡦࠬ࠻࡯࡞ߔࠆߎ
ߣ߽น⢻ߣߥࠅ‫ޔ‬ቇ↢ߩቇ⠌࡮⎇ⓥⅣႺᢛ஻ߦ߽⽸₂ߒߡ޿ࠆ‫ޕ‬߹ߚ‫ޔ‬ឭଏߔࠆ࠰ࡈ࠻࠙ࠚࠕߦኻߔࠆ▤ℂࠍ෩ኒߦⴕ߁ᚻᲑߣߒߡ‫ోޔ‬ቇ⹺⸽ࠪࠬ࠹ࡓ
ߣߩㅪ៤ߦࠃࠆᧄੱ⹺⸽ࠍⴕߞߡ޿ࠆ‫ޕ‬ᤓᐕᐲ߆ࠄߩㆇ↪ߩᄌᦝὐߣߒߡᢎ⡯ຬߩ୘ੱᚲ᦭ PC ߦኻߔࠆࠗࡦࠬ࠻࡯࡞ᚻᲑࠍᓥ
᧪ߩ᧲Ꮏᄢࡐ࡯࠲࡞߆ࠄߩ࠳࠙ࡦࡠ࡯࠼߆ࠄቇ↢ߣห᭽ߦ↢දߢߩࡔ࠺ࠖࠕ⾼౉ߦᄌᦝߒߚ‫ޕ‬߹ߚ‫ޔ‬ᐔᚑ 21 ᐕᐲࠃࠅ࠙ࠖ࡞ࠬኻ╷࠰ࡈ࠻࠙ࠚࠕߩឭଏ߇੍ቯߐࠇߡ޿ࠆ‫ޕ‬‫ޣ‬൮᜝ᄾ⚂ߢឭଏߐࠇࠆ࠰ࡈ࠻࠙ࠚࠕ‫ޤ‬
Office 2003 Professional

Windows

Office 2007 Enterprise

Microsoft Office

Office 2004 for MAC

Mac

Office 2008 for MAC

Microsoft Windows

Windows Vista Ultimate UpgradeUpgradeWindows XP Professional Upgradeㆇ ↪1) ೑↪⾗ᩰࠕࠢ࠮ࠬࠞ࡯࠼‫౉ޔ‬㙚ࠞ࡯࠼ࠍ㒰ߊ᧲Ꮏᄢ IC ࠞ࡯࠼りಽ⸽ࠍ଻ᜬߔࠆቇ↢‫ޔ‬ᢎ⡯ຬ߇೑↪ߢ߈ࠆ‫ޕ‬2) ࠗࡦࠬ࠻࡯࡞ኻ⽎ߣߥࠆࠦࡦࡇࡘ࡯࠲
એਅߩ᧦ઙࠍḩߚߔࠦࡦࡇࡘ࡯࠲ߦࠗࡦࠬ࠻࡯࡞ߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬࡮ ᄢቇߩ⚻⾌ߢ⾼౉ߒߚᄢቇᚲ᦭ߩࠦࡦࡇࡘ࡯࠲ (ᄢቇߩ‛ຠ෸߮࡟ࡦ࠲࡞ຠࠍ฽߻)࡮ ೑↪⾗ᩰࠍ᦭ߔࠆ⠪߇ᚲ᦭ߔࠆ୘ੱᚲ᦭ߩࠦࡦࡇࡘ࡯࠲ (ߚߛߒ‫ੱ৻ޔ‬ᒰߚࠅ MS
Office㧛OS ౒ߦ޿ߕࠇ߆ߩࡃ࡯࡚ࠫࡦ 1 ߟࠍ 1 บಽ೑↪น⢻)443) ឭଏᣇᴺ
a) ᄢቇᚲ᦭ࠦࡦࡇࡘ࡯࠲߳ߩឭଏ
Step1㧦‫ޣ‬ᢎቶ♽‫ޤ‬Ᏹൕ⻠Ꮷએ਄ߩᣇ߇૞ᬺ㧛‫ޣ‬੐ോ♽‫╩ޤ‬㗡ࠣ࡞࡯ࡊ㐳߇૞ᬺIC ࠞ࡯࠼࡝࡯࠳ࠍ૶ߞߡ᧲Ꮏᄢࡐ࡯࠲࡞ߦࡠࠣࠗࡦ

Ј⹿⚂ᦠࠍឭ಴

Step2㧦‫ޣ‬ᢎቶ♽‫ޤ‬Ᏹൕ⻠Ꮷએ਄ߩᣇ߇૞ᬺ㧛‫ޣ‬੐ോ♽‫╩ޤ‬㗡ࠣ࡞࡯ࡊ㐳߇૞ᬺ᧲Ꮏᄢࡐ࡯࠲࡞ߦࡠࠣࠗࡦ (ࡑ࠻࡝࠶ࠢࠬ⹺⸽น)Јࡄࠬࠦ࡯࠼ขᓧ

Step3㧦‫ޣ‬ᢎቶ♽‫ޤ‬ᢎ⡯ຬ࡮㕖Ᏹൕ⡯ຬ࡮ቇ↢߇૞ᬺ㧛‫ޣ‬੐ോ♽‫ޤ‬Ᏹൕ⡯ຬ߇૞ᬺ᧲Ꮏᄢࡐ࡯࠲࡞ߦࡠࠣࠗࡦ (ࡑ࠻࡝࠶ࠢࠬ⹺⸽น)Ј࠰ࡈ࠻࠙ࠚࠕࠍ࠳࠙ࡦࡠ࡯࠼**ࡄࠬࠦ࡯࠼ขᓧ߆ࠄ 24 ᤨ㑆એౝߦ૞ᬺߔࠆᔅⷐ᦭ࠅb) ୘ੱᚲ᦭ࠦࡦࡇࡘ࡯࠲߳ߩឭଏ
Step1㧦

⡯ຬ㧔ቇ↢㧕⸽ࠍᜬߞߡ↢ද߳

Step2㧦

⹿⚂ᦠߣ૶↪᧦ઙ⸵⻌ᦠߦࠨࠗࡦ (↢ද߇⡯ຬ㧔ቇ↢㧕⸽ߩࠦࡇ࡯ࠍ଻▤)Step3㧦

ࡔ࠺ࠖࠕࠍ⾼౉(ଔᩰ 1,400 ౞‫ޕ‬ฦࡔ࠺ࠖࠕ 1 ⒳ 1 ᨎ߹ߢ⾼౉น)ታ ❣Microsoft Windows Vista ㈩Ꮣᢙ
2008

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

ቇౝ PC

55

16

16

42

6

23

19

7

18

17

19

224

462

୘ੱ PC

148

68

52

49

43

40

39

33

28

22

76

125

723

⸘

203

84

68

91

49

63

58

40

46

39

95

349

1185

Microsoft Windows XP ㈩Ꮣᢙ
2008

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

ቇౝ PC

31

5

8

10

6

9

8

4

4

5

3

5

98

୘ੱ PC

142

77

143

140

74

55

63

44

23

1

0

1

763

⸘

173

82

151

150

80

64

71

48

27

6

3

6

861

Microsoft Office 2003 (Windows

) ㈩Ꮣᢙ

2008

ቇౝ PC

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

390

174

97

109

99

101

175

91

89

91

83

80

1579

45

Microsoft Office 2007 (Windows

) ㈩Ꮣᢙ

2008

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

ቇౝ PC

607

275

206

150

137

170

242

182

135

191

252

288

2835

୘ੱ PC

838

295

892

351

180

164

109

99

91

86

129

182

3416

⸘

1445

570

1098

501

317

334

351

281

226

277

381

470

6251

Microsoft Office 2004 (Mac

) ㈩Ꮣᢙ

2008

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

ቇౝ PC

37

15

14

2

10

77

8

5

7

8

12

16

211

୘ੱ PC

19

3

36

34

3

3

1

1

0

1

3

3

107

⸘

56

18

50

36

13

80

9

6

7

9

15

19

318

Microsoft Office 2008 (Mac

) ㈩Ꮣᢙ

2008

2009

4᦬

5᦬

6᦬

7᦬

8᦬

9᦬

10 ᦬

11 ᦬

12 ᦬

1᦬

2᦬

3᦬

⸘

ቇౝ PC

116

36

17

15

48

42

25

14

21

48

26

59

467

୘ੱ PC

118

40

42

25

20

16

26

43

27

18

15

61

451

⸘

234

76

59

40

68

58

51

57

48

66

41

120

918

46

 వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫↥ޣ‬ᬺᚢ⇛೑↪‫ޤ‬ ࠮ࡦ࠲࡯㐳 ᷰㄝ ᴦ ․છಎᢎ᝼ ⷏Ꮉᱞᔒ

‫ޢࡦࠦࡄࠬߩߥࠎߺޡ‬657$#/' ߦࠃࠆࡍ࠲ࠬࠤ࡯࡞߳ߩ㘧⠍੐ᬺ᭎ⷐ ᐔᚑ 19 ᐕᐲ߆ࠄᢥㇱ⑼ቇ⋭߇ᣂߚߦ㐿ᆎߒߚ੐ᬺ‫ޟ‬వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦ
ഃ಴੐ᬺ‫↥ޣޠ‬ᬺᚢ⇛೑↪‫ޔߪޤ‬ᄢቇ‫ⴕ┙⁛ޔ‬᡽ᴺੱ╬ߩ⎇ⓥᯏ㑐߇᦭ߔࠆవ┵⊛ߥ⎇ⓥᣉ⸳࡮ᯏེߩ౒↪ࠍㅴ߼‫ࠆ߇ߥߟߦࡦ࡚ࠪ࡯ࡌࡁࠗ ޔ‬ᚑᨐࠍഃ಴ߔࠆߎߣࠍ⋡ᜰߒ‫ޔ‬ᒰ
ೋᐔᚑ 23 ᐕᐲᧃ߹ߢታᣉߐࠇࠆ੍ቯߢ޽ߞߚ߇‫⵬ޔ‬ഥ੐ᬺߣߒߡ‫ޔ‬వ┵⎇ⓥᣉ⸳౒↪ଦ
ㅴ੐ᬺߦ⒖▤ߔࠆߎߣߣߥࠅᐔᚑ 20 ᐕᐲᧃߢ⚳ੌߣߥߞߚ‫ᧄޕ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯߇
ᐔᚑ 19 ᐕ 7 ᦬ 1 ᣣ߆ࠄណᛯߐࠇߚ “‫ޢࡦࠦࡄࠬߩߥࠎߺޡ‬TSUBAME ߦࠃࠆࡍ࠲ࠬࠤ࡯
࡞߳ߩ㘧⠍” ߪ‫ޔ‬వ┵⎇ⓥᣉ⸳౒↪ଦㅴ੐ᬺߩណᛯᯏ㑐ߣߒߡᐔᚑ 21 ᐕᐲએ㒠߽⛮⛯ߒߡណᛯߐࠇࠆߎߣߣߥߞߚ‫ᧄޕ‬ᐕᐲ߽᧲੩ᄢቇ߇ታᣉߔࠆ‫ޟ‬వ┵⊛ᄢⷙᮨ⸘▚ࠪࡒࡘ࡟࡯
࡚ࠪࡦࡊࡠࠣ࡜ࡓ೑↪ࠨ࡯ࡆࠬ‫ߣޠ‬ㅪ៤ߒߡߒߚ‫ޕ‬వ┵⎇ⓥᣉ⸳౒↪ଦㅴ੐ᬺߢ߽᧲੩ᄢ
ቇ੐ᬺߣߩㅪ៤ࠍ⛮⛯ߔࠆ‫ᧄޕ‬੐ᬺࠍㅢߓߡ‫↥ޔ‬ቇቭߩ⎇ⓥ⠪ߦࠃࠆᚢ⇛⊛߆ߟല₸⊛ߥ⎇ⓥ㐿⊒߿‫⎇ޔ‬ⓥᯏ㑐߿⎇ⓥಽ㊁ࠍ⿧߃ߚᮮᢿ⊛ߥ⎇ⓥ㐿⊒ᵴേࠍផㅴߔࠆߎߣߦࠃࠅ‫ޔ‬⛮⛯⊛ߦ↥ቇቭߩ⍮ߩⲢวߦࠃࠆࠗࡁࡌ࡯࡚ࠪࡦࠍടㅦߒߡ޿ߊߎߣࠍ⋡ᜰߒߚ‫ޕ‬ ᐔᚑ 20 ᐕᐲߪ‫ޟ‬వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫ޠ‬‫↥ޣ‬ᬺᚢ⇛೑↪‫ᦨߡߒߣޤ‬ᓟߩታᣉᐕᐲߣߥߞߚ߇‫ޔ‬ᒰೋ⋡ᮡߩᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 5 ઙ⒟ᐲ‫ޔ‬ᣂⷙ᜛ᄢ 6 ઙ⒟ᐲ
ࠍᄢ߈ߊ਄࿁ࠆᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 9 ઙ‫ޔ‬ᣂⷙ೑↪᜛ᄢ⺖㗴 6 ઙߩว⸘ 15 ઙߩ⺖㗴ࠍណᛯߒߚ‫ޕ‬⴫ 2-6.1 ᐔᚑ 20 ᐕᐲ ⺖㗴ណᛯ࡮ታᣉ⁁ᴫ⒳೎㩷ᐔᚑ 20 ᐕᐔᚑ 19 ᐕ

ᐲណᛯ

⛮⛯

ว⸘

1

4

5

0

1

1

4

⸳ቯή

4

4

⸳ቯή

4

ᣂⷙ೑↪᜛ᄢ

6

0

6

ዊ⸘

15

5

20

ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴䇸⸘▚ൻቇᚻᴺ䈮䉋䉎ഃ⮎ᛛⴚ䈱㐿⊒䇹ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴䇸ᄢⷙᮨᵹ૕䋭᭴ㅧㅪᚑ⸃ᨆ
ᛛⴚ䈱㐿⊒䇹
ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴䇸䉲䊚䊠䊧䊷䉲䊢䊮䈮䉋䉎䊅䊉᧚ᢱ䊶ടᎿ䊶䊂䊋䉟䉴㐿⊒䇹ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴䇸␠ળၮ⋚䈱䊥䉴䉪▤ℂ䉲䊚䊠䊧䊷䉲䊢䊮䈻䈱 HPC ᔕ↪ᛛⴚ䈱㐿⊒䇹

47


࿑ 2-6.1 వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫↥ޣ‬ᬺᚢ⇛೑↪‫ޤ‬ណᛯᯏ㑐࡮⎇ⓥᣉ⸳࿑

2-6.2 ᢥ ㇱ ⑼ ቇ ⋭  ⎇ ⓥ ᣉ ⸳ ౒ ↪ ✚ ว ࠽ ࡆ ࠥ ࡯ ࠪ ࡚ ࡦ ࠨ ࠗ ࠻㧔http://kyoyonavi.mext.go.jp/㧕ߦ߅ߌࠆ᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯TSUBAME
Grid Cluster ᣉ⸳ᖱႎࡍ࡯ࠫ

48

੐ᬺታᣉߣᚑᨐ
‫⺖ޣ‬㗴ណᛯ‫ޤ‬ ᐔᚑ 20 ᐕᐲߪ 4 ߟߩᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴㧔એਅᚢ⇛㧕ߩ߁ߜ‫▚⸘ޟ‬ൻቇᚻᴺߦࠃࠆഃ⮎ᛛⴚߩ㐿⊒㧔એਅ‫▚⸘ޔ‬ഃ⮎㧕‫ޠ‬1 ઙ‫ޔ‬‫᧚ࡁ࠽ࠆࠃߦࡦ࡚ࠪ࡯࡟ࡘࡒࠪޟ‬ᢱ࡮ടᎿ࡮࠺ࡃࠗ
ࠬ㐿⊒㧔એਅ‫ࡓࠪࡁ࠽ޔ‬㧕‫ޠ‬4 ઙ‫ޔ‬‫␠ޟ‬ળၮ⋚ߩ࡝ࠬࠢ▤ℂࠪࡒࡘ࡟࡯࡚ࠪࡦ߳ߩ HPC ᔕ↪
ᛛⴚߩ㐿⊒㧔એਅ‫ޔ‬ၮ⋚࡝ࠬࠢ㧕‫ޠ‬4 ઙࠍណᛯߒว⸘ 9 ઙ‫ޔ‬ᣂⷙ೑↪᜛ᄢ⺖㗴㧔એਅ‫ޔ‬ᣂⷙ᜛ᄢ㧕ߪ 6 ઙࠍណᛯߒ‫ޔ‬ᒰೋ⋡ᮡߩᚢ⇛ 5 ઙ⒟ᐲ‫ޔ‬ᣂⷙ᜛ᄢ㧢ઙ⒟ᐲࠍᄢ߈ߊ਄࿁ࠆណᛯ
ᢙߣߥߞߚ‫ޕ‬ᐔᚑ 21 ᐕᐲ╙ 1 ࿁౏൐ࠍᐔᚑ 20 ᐕᐲਛߦⴕ޿‫▚⸘ޟ‬ഃ⮎‫ޠ‬1 ઙ‫ޔ‬‫ޟ‬ᄢⷙᮨᵹ
૕㧙᭴ㅧㅪᚑ⸃ᨆᛛⴚߩ㐿⊒㧔એਅ‫ޔ‬ᵹ૕᭴ㅧ㧕‫ޠ‬1 ઙ‫ޔ‬‫ޠࡓࠪࡁ࠽ޟ‬2 ઙ‫ޔ‬‫ޟ‬ၮ⋚࡝ࠬࠢ‫ޠ‬1ઙߩว⸘ 5 ઙ‫ޔ‬ᣂⷙ᜛ᄢߪ 2 ઙࠍណᛯߒߚ‫ޕ‬ ౏൐ᤨᦼߦࠃࠆಽ㘃ߢߪ‫ޔ‬ቯᦼ౏൐ߢߪ 4 ᦬೑↪㐿ᆎ㧤ઙ㧔‫ޠࡓࠪࡁ࠽ޟ‬2 ઙ‫ޔ‬‫ޟ‬ၮ⋚࡝ࠬ
ࠢ‫ޠ‬3 ઙ‫ޟޔ‬ᣂⷙ᜛ᄢ‫ޠ‬3 ઙ㧕‫ޔ‬10 ᦬೑↪㐿ᆎ㧡ઙ㧔‫ޠࡓࠪࡁ࠽ޟ‬2 ઙ‫ޟޔ‬ၮ⋚࡝ࠬࠢ‫ޠ‬1 ઙ‫ޔ‬‫ޟ‬ᣂⷙ᜛ᄢ‫ޠ‬2 ઙ㧕‫ޔ‬㓐ᤨ౏൐ߢߪ 7 ᦬೑↪㐿ᆎ‫▚⸘ޟ‬ഃ⮎‫ޠ‬1 ઙ‫ޔ‬1 ᦬೑↪㐿ᆎ‫ޟ‬ᣂⷙ᜛ᄢ‫ޠ‬
1 ઙߢ޽ߞߚ‫ޕ‬‫⺖ޣ‬㗴ታᣉ‫ޤ‬
TSUBAME ߇ 1 ᐕ㑆ߦឭଏน⢻ߥ⸘▚⾗Ḯ‫ޔ‬1 ญ 2,880 ࡁ࡯࠼ᤨ㑆឵▚ߢ 1,916 ญਛ 229
ญ⚂ 12%ࠍ⺖㗴ㆬቯ⹏ଔᆔຬળߩክᩏ⚿ᨐߦᔕߓߡว⸘ 20 ⺖㗴ߦ㈩ಽߒߚ‫ޕ‬
ᐔᚑ 20 ᐕᐲߪ೨ᐕᐲ߆ࠄߩ⛮⛯⺖㗴߇ 5 ઙߣᐕᐲᒰೋߩណᛯ⺖㗴߇ 8 ઙߣ㗅⺞ߥṖࠅ಴ߒߩߚ߼‫ޔ‬ᐕ㑆ࠍㅢߓߡోߡߩ㈩ಽ⸘▚⾗Ḯࠍታᣉ⺖㗴߇ᶖ⾌ߒߚ‫ޕ‬‫ޣ‬ᐢႎᵴേ‫ޤ‬ᐢႎᵴേߢߪ‫ޔ‬ᣣᧄᯏ᪾ቇળ 2008 ᐕᐲᐕᰴᄢળ‫ޔ‬ᣣᧄᔕ↪ᢙℂቇળ 2008 ᐕᐲᐕળ‫ޔ‬ᣣᧄൻቇળᐕળ಴ዷᢱ‫ޔ‬HPCS2009‫ޔ‬㔚᳇ቇળో࿖ᄢળ 2009 ߦ಴ዷߒ‫᧪ޔ‬႐⠪ߦ੐ᬺ๟⍮ࠍ࿑ߞߚ‫ ╙ߚ߹ޕ‬11 ࿁ℂ⺰ൻቇ⸛⺰ળ‫ޔ‬CompSys2008‫ ╙ޔ‬22 ࿁ᢙ୯ᵹ૕ࠪࡦࡐࠫ࠙ࡓ‫ޔ‬2008ᐕᣣᧄࡃࠗࠝࠗࡦࡈࠜࡑ࠹ࠖࠢࠬቇળᐕળߦෳടߒ‫ޔ‬ෳട⠪ߦ੐ᬺߩ๟⍮ࠍ࿑ߞߚ‫⬿ޕ‬೨Ꮏᬺળ⹹⬿೨ࠫࡖ࡯࠽࡞ᣂᐕภߦᐢ๔ࠍ಴Ⓜߒߚ‫ߩߘޕ‬㓙ߦ᧲੩ᄢቇߩ੐ᬺ‫ޟ‬వ┵⊛ᄢⷙᮨ⸘▚ࠪࡒࡘ࡟࡯࡚ࠪࡦࡊࡠࠣ࡜ࡓ೑↪ࠨ࡯ࡆࠬ‫ߣޠ‬ㅪ៤ߒ‫ޔ‬੕޿ߦ෺ᣇࠍ⚫੺ߒߚ‫ޕ‬ᚑᨐႎ๔ળߣߒߡᐔᚑ 20 ᐕ 6 ᦬ 11 ᣣ(᳓)ߦ 100 ฬߩ಴Ꮸ⠪ࠍᓧߡࠪࡦࡐࠫ࠙ࡓࠍ㐿௅ߒ‫ޔ‬㑐ଥ⠪߆ࠄߩ⺑᣿ࠍⴕ߁ߣߣ߽ߦᐔᚑ 19 ᐕណᛯߩ⚳ੌ⺖㗴߆ࠄ 1 ઙ㨮⛮⛯⺖㗴߆ࠄ 1 ઙߕߟ⸘▚⾗Ḯ೑↪㊂㚂૏ߩ⺖㗴ߦ೑↪ႎ๔ࠍⴕߞߡ⾃ߞߚ‫ߩࡓ࠙ࠫࡐࡦࠪޕ‬ᮨ᭽ߣߣ߽ߦ⚳ੌ⺖㗴ߩႎ๔ᦠߪ Web ߦឝタߒ౏㐿ߒߚ‫ޕ‬‫ޣ‬೑↪⠪ᡰេ‫ޤ‬೑↪⠪ᡰេߢߪᣉ⸳౒↪ᛛⴚᜰዉ⎇ⓥຬ╬ߦࠃࠆࡊࡠࠣ࡜ࡓ㐿⊒‫ޔࠣࡦ࠾࡯ࡘ࠴ޔ‬ਗ೉ൻ╬ߩᜰዉ‫ޔ‬ᡰេࠍⴕߞߚ‫ޕ‬ᣉ⸳౒↪ᛛⴚᜰዉ⎇ⓥຬ╬߇ࠗࡁࡌ࡯࡚ࠪࡦഃ಴ߩߚ߼ߩᛛⴚ
ᜰዉജࠍะ਄ߐߖࠆ⺞ᩏᵴേࠍⴕ޿‫ޔ‬ᐢႎᵴേߢ߽ㅀߴߚ╙ 11 ࿁ℂ⺰ൻቇ⸛⺰ળ‫ޔ‬
CompSys2008‫ ╙ޔ‬22 ࿁ᢙ୯ᵹ૕ࠪࡦࡐࠫ࠙ࡓ‫ޔ‬2008 ᐕᣣᧄࡃࠗࠝࠗࡦࡈࠜࡑ࠹ࠖࠢࠬቇ
ળᐕળߦෳടߒᧄ੐ᬺߦ߅ߌࠆᣉ⸳೑↪ߩ㜞ᐲൻࠍ࿑ࠇࠆ⺖㗴ࠍ⺞ᩏߒߚ‫ޕ‬TSUBAME ߩ

49೑↪⁁ᴫ߿ࠨࡐ࡯࠻‫ߦࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕޔ‬㑐ߔࠆᖱႎឭଏߩ Web ߩలታࠍ࿑ߞߚ‫ࠗࠣࡠޕ‬ࡦࡁ࡯࠼߿ࡈࠔࠗ࡞ࠨ࡯ࡃߩ࠮ࠠࡘ࡝࠹ࠖኻ╷ߩะ਄߽ⴕߞߚ‫ޕ‬‫✚ߩ࠻ࠢࠚࠫࡠࡊޣ‬ว⊛ផㅴ‫ޤ‬ ᧄ੐ᬺߦ㑐ߔࠆ೑↪ⷙ⒟߿ⷙೣ߅ࠃ߮᭽ᑼࠍᢛ஻ߒ Web ߦߡ౏㐿ߒߚ‫ޕ‬ ⸘▚⾗Ḯ㈩ಽߦ߅޿ߡߪᐔᚑ 19 ᐕᐲߩ෻⋭ࠍ〯߹߃ߡ೑↪ታ❣ㅴ᝞ߦᔕߓߡ⸘▚⾗Ḯߩౣ㈩ಽࠍⴕ߁૕೙ࠍᢛ߃ߚ‫ޕ‬ᐔᚑ 21 ᐕᐲߪߐࠄߦᲤ᦬ౣ㈩ಽክᩏ߇ታᣉน⢻ߥ૕೙ࠍ᭴▽ߔࠆߎߣࠍᐔᚑ 20 ᐕᐲߩ⺖㗴ㆬቯ⹏ଔᆔຬળߦߡੌᛚࠍᓧߚ‫ޕ‬ ⺖㗴ㆬቯ⹏ଔᆔຬળߪ‫৻╙ޔ‬ᰴክᩏࠍኾ㐷ኅߩᚻߦଐࠆ߽ߩߣߔࠆߚ߼ੱຬࠍᐔᚑ 19 ᐕᐲߩ 27 ฬ߆ࠄ 53 ฬߣ߶߷୚Ⴧߒߚ㨫 ᐔᚑ 23 ᐕᐲߩᧄ੐ᬺ⚳ੌᓟߦᕡਭ⊛ߥડᬺ೑↪ࠍ⛮⛯ߒߡታᣉߔࠆߎߣࠍⷞ㊁ߦ౉ࠇᣂߚߥᒻᘒߩో࿖౒ห೑↪ၮ⋚࠮ࡦ࠲࡯ߣߒߡߩ⚵❱૞ࠅߩᬌ⸛ࠍⴕ޿‫ᧄޔ‬੐ᬺࠍ౞Ṗߦផㅴߔࠆߚ߼‫᧲ޔ‬Ꮏᄢߦ߅ߌࠆᧄ੐ᬺߩᜰើ๮઎♽⛔ࠍ฽߼ߚ⚵❱૕೙ߩᢛ஻ߒ‫ޔ‬ᄖㇱ೑↪
ࡢ࡯ࠠࡦࠣࠣ࡞࡯ࡊࠍ⸳⟎ߒߚ‫ޕ‬50

⴫ 2-6.2 ᐔᚑ 20 ᐕᐲណᛯ⺖㗴৻ⷩᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 1 ⸘▚ൻቇᚻᴺߦࠃࠆഃ⮎ᛛⴚߩ㐿⊒↳⺧⺖㗴ฬ

ળ␠ฬ↳⺧ઍ⴫⠪

࠲ࡦࡄࠢ⾰㧙ൻว‛㑆ߩ㜞♖ᐲ⚿ ን჻ㅢᩣᑼળ␠ ࡃࠗࠝ +6 ੐ᬺ ൎጊࡑ࡝ࠦ
ว⥄↱ࠛࡀ࡞ࠡ࡯⸘▚㐿⊒ᧄㇱ ࡃࠗࠝࠤࡒࠞ࡞ࡊࡠ
ࠫࠚࠢ࠻ቶ

㩷ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 3 ࠪࡒࡘ࡟࡯࡚ࠪࡦߦࠃࠆ࠽ࡁ᧚ᢱ࡮ടᎿ࡮࠺ࡃࠗࠬ㐿⊒↳⺧⺖㗴ฬ

ળ␠ฬ↳⺧ઍ⴫⠪

࠽ࡁ὇⚛‫⓸ࡁ࠽ޔ‬ൻࡎ࠙⚛ߩ೙ᓮߐᣣᧄ㔚᳇ᩣᑼળ␠ R&D ࡙࠾࠶ችᧄ⦟ਯࠇߚടᎿᣇᴺࠍតࠆࠪࡒࡘ࡟࡯࡚ࠪ࠻ ਛᄩ⎇ⓥᚲ࠽ࡁࠛ࡟ࠢ࠻ࡠ࠾

ࡦ

ࠢࠬ⎇ⓥᚲ

࠽ࡁ᭴ㅧ⸳⸘ߦၮߠߊᯏ⢻ᕈήᯏ᧚૑෹ൻቇ ᩣᑼળ␠ ╳ᵄ⎇ⓥᚲༀ↭ᐽᚑᣂⷙ᧚ᢱ㐿⊒ߩߚ߼ߩ‫࡯࠳࡯ࠝޔ‬㧺ࠕࠢ࠮࡞࡝ࠬᩣᑼળ␠ ࡕ࠺࡝ࡦ㆏⾐ᐽ␭ᴺߦࠃࠆ㊄ዻ㉄ൻ‛⴫㕙ߩ╙৻ේℂࠣࠪࡒࡘ࡟࡯࡚ࠪࡦㇱᢱߩ㐿⊒ࠪࡒࡘ࡟࡯࡚ࠪࡦ
Ꮧ࿯㘃᳗ਭ⏛⍹᧚ᢱߩ⏛᳇․ᕈ⸃ᨆ

ᩣᑼળ␠ᣣ┙⵾૞ᚲ ၮ␆⎇ⓥᚲ ർᎹഞ࠽ࡁ᧚ᢱ࡮࠺ࡃࠗࠬ࡜ࡏ N07 ࡙࠾࠶࠻㩷ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 4␠ળၮ⋚ߩ࡝ࠬࠢ▤ℂࠪࡒࡘ࡟࡯࡚ࠪࡦ߳ߩ HPC ᔕ↪ᛛⴚߩ㐿⊒↳⺧⺖㗴ฬ

ળ␠ฬ↳⺧ઍ⴫⠪

㜞ጀࡆ࡞ߩᄢⷙᮨ㕖✢ᒻ࿾㔡ᔕ╵⸃ᩣᑼળ␠ࠕ࡜ࠗ࠼ࠛࡦࠫ࠾ࠕ࡝ࡦ

⑺⪲ඳᨆࠣ ADVC ੐ᬺㇱᣣᧄో࿖ߩ࿾㔡ἴኂ࡝ࠬࠢ⹏ଔ

᧲੩ᶏ਄ᣣേ࡝ࠬࠢࠦࡦࠨ࡞࠹ࠖ

⍫ઍ᥍ታࡦࠣᩣᑼળ␠
ᄢⷙᮨ ALM ࠪࡒࡘ࡟࡯࡚ࠪࡦ߳ߩ

࠾ࡘ࡯ࡔ࡝ࠞ࡞࠹ࠢࡁࡠࠫ࡯࠭ᩣ

HPC ᛛⴚߩㆡ↪

ᑼળ␠ᄢⷙᮨⓨ㑆ߢߩ㜞޿๟ᵄᢙߦ߅ߌࠆ

ࠕࠫ࡟ࡦ࠻࡮࠹ࠢࡁࡠࠫ࡯ᩣᑼળ

ࠕࡦ࠹࠽વ᠞࡮㔚⏛⇇ࠪࡒࡘ࡟࡯

␠ EDA ࠕࡊ࡝ࠤ࡯࡚ࠪࡦࠛࡦ

࡚ࠪࡦࠫ࠾ࠕ࡝ࡦࠣ

㩷




51

㠽ዬ⑲ⴕ
ᯅᧄᙗ⦟

ᣂⷙ೑↪᜛ᄢ

↳⺧⺖㗴ฬ

ળ␠ฬ↳⺧ઍ⴫⠪

3D CG ࡟ࡦ࠳࡝ࡦࠣ෸߮േ↹ࠛࡦࡉ࡜ࡦ࠼࠳ࠗࠕࡠࠣᩣᑼળ␠ ࠣ᫪⼱ᱞᶈࠦ࡯࠺ࠖࡦࠣߩಽᢔಣℂᛛⴚߩ㐿⊒࡝࠶࠺ࠖ੐ᬺㇱⅣႺ⺞๺ဳᾲ㔚ඨዉ૕ߩ᧚ᢱ⸳⸘

FDK ᩣᑼળ␠ᛛⴚ㐿⊒ᧄㇱ వട⮮ᓆᒾㅴᛛⴚ㐿⊒ㇱ CAE 㐿⊒⺖
3 ᰴర࿶❗ᕈᵹ૕ࠦ࡯࠼ߦࠃࠆ㜞♖ᩣᑼળ␠ ⸘▚ᵹ૕ജቇ⎇ⓥᚲ ᪀ේ⻉ఱ  ᐲᷙ⋧ᵹࠪࡒࡘ࡟࡯࡚ࠪࡦࠦ࡯࠼⿥

ᷙ⋧ᵹ⸃ᨆࠣ࡞࡯ࡊ

ਗ೉㜞ㅦൻ
ㆫ⒖㊄ዻ㍲૕⸅ᇦࠍ↪޿ߚ C-C ࠞ࠶૑෹ൻቇᩣᑼળ␠ ᦭ᯏวᚑ⎇ⓥࡊ࡝ࡦࠣ෻ᔕࡔࠞ࠾࠭ࡓߩℂ⺰⎇ⓥᚲ↢૕㜞ಽሶ↪ࠪࡒࡘ࡟࡯࡚ࠪࡦ࠰ࡈ

ࠨࠗࠛࡦࠬ࡮࠹ࠢࡁࡠࠫ࡯࡮ࠪࠬ

࠻࠙ࠚࠕ DS CHARMm ߩᄢⷙᮨ♽࠹ࡓ࠭ᩣᑼળ␠ᓟ⮮ᢥㇹ⑔ፉାᒄߦ߅ߌࠆਗ೉ᕈ⢻⹏ଔ㩷
⴫ 2-6.3 ᐔᚑ 19 ᐕᐲណᛯ⺖㗴৻ⷩᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 1 ⸘▚ൻቇᚻᴺߦࠃࠆഃ⮎ᛛⴚߩ㐿⊒↳⺧⺖㗴ฬ

ળ␠ฬ↳⺧ઍ⴫⠪

Ꮒᄢ↢૕ಽሶߩ㕖⚻㛎⊛ಽሶ゠㆏ ᩣᑼળ␠ਃ⪉ൻቇ⑼ቇᛛⴚ⎇ⓥ ਛ᧛ᝄ৻㇢
ᴺߦࠃࠆ⸳⸘ᜰ㊎᭴▽࠮ࡦ࠲࡯࠲ࡦࡄࠢ⾰৻ᰴ᭴ㅧߩ✂⟜⊛⸃ᨆ ࡜ࠗࡈࠖࠢࠬᩣᑼળ␠

㊄Ỉశᵗߦࠃࠆഃ⮎ᛛⴚߩ㐿⊒ࠦࡦࡇࡘ࡯࠲ᡰេߦࠃࠆࡐ࡝ࠕࡒ ᩣᑼળ␠ࠕࡒࡦࡈࠔ࡯ࡑ⎇ⓥᚲ ੖ච፲৻ⴡ
ࡦ⺃ዉ૕ක⮎ຠߩ㐿⊒
CONFLEX ࠍ↪޿ߚ㈩ᐳត⚝߅ࠃ ࠦࡦࡈ࡟࠶ࠢࠬᩣᑼળ␠ᄢ↰৻↵߮⚿᥏ᄙᒻ⸃ᨆ
㩷ᚢ⇛ಽ㊁೑↪ផㅴ⺖㗴 2 ᄢⷙᮨᵹ૕㧙᭴ㅧㅪᚑ⸃ᨆᛛⴚߩ㐿⊒↳⺧⺖㗴ฬળ␠ฬ㔚 ⏛ ႐ ਛ ᄢ ⷙ ᮨ ☳ ૕ ᜼ േ ࠪ ࡒ ࡘ ᩣᑼળ␠࡝ࠦ࡯
࡟࡯࡚ࠪࡦߦࠃࠆ㔚ሶ౮⌀⸳⸘ࡊࡠ࠮ࠬ㕟ᣂ
㩷

52↳⺧ઍ⴫⠪
ᷰㆻቁብ ᭴ᚑ࡮᭎ⷐ࡮ㆇ↪࡮ታ❣╬ߩᄖㇱ⊒⴫‫⸽⹺ޣ‬ၮ⋚ࠪࠬ࠹ࡓᜂᒰ㑐ଥ‫ޤ‬࡮࿖┙ᖱႎቇ⎇ⓥᚲ UPKI ࠪࡦࡐࠫ࠙ࡓ 2009㧔2009 ᐕ 2 ᦬ 23 ᣣ㧕 㗴 ⋡㧦ࡐࠬ࠲࡯࠮࠶࡚ࠪࡦ㧔᧲੩Ꮏᬺᄢቇࠠࡖࡦࡄࠬ౒ㅢ⹺⸽࡮⹺นࠪࠬ࠹ࡓ㧕 ⊒⴫⠪㧦ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ ಎᢎ᝼ 㘵↰ൎศ     ᛛⴚㇱᖱႎၮ⋚ᡰេ࠮ࡦ࠲࡯ ᛛⴚ⡯ຬ ᣂ㉿ථผ
࡮2008 ᐕᐲ ᧲੩ㄘᎿᄢቇ✚วᖱႎࡔ࠺ࠖࠕ࠮ࡦ࠲࡯ࠪࡦࡐࠫ࠙ࡓ㧔2009 ᐕ 2 ᦬ 27 ᣣ㧕㗴 ⋡㧦‫ޟޡ‬ᄢቇ ICT ၮ⋚ߩవㅴ⊛ߥࠪࠬ࠹ࡓ᭴▽ߣᵴ↪‫ޠ‬㨪ࠣ࡝࡯ࡦ ICT ߩᵴ↪ߣᄢቇ⚵❱૕೙㨪‫ޢ‬⊒⴫⠪㧦ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ ಎᢎ᝼ 㘵↰ൎศ53 ᖱႎၮ⋚ផㅴᵴേ
 ᧄᐕᐲߩࠬࡄࠦࡦ TSUBAME ߩㅴൻ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷 ᧻ጟ ⡡ߔߢߦ GPU ߩㅊടߦ߹ߟࠊࠆ TSUBAME ߩㅴൻߪ࠻ࡇ࠶ࠢࠬߩ㗄ߢㅀߴߚ߇‫ࠇߘޔ‬એᄖߦ߽ᧄᐕᐲߪᤓᐕᐲએ਄ߦ TSUBAME ߩࡂ࡯࠼࠙ࠚࠕ࡮࠰ࡈ࠻࠙ࠚࠕ‫ߩߘߪߦࠄߐޔ‬ㆇ↪
૕೙߿‫ ߩⴕ⃻ޔ‬TSUBAME1.x ߅ࠃ߮ᰴᦼ TSUBAME2.0 ߩᡷ⦟࡮ታ⃻ߦะߌߚ⒳‫⎇ߩޘ‬ⓥ㐿⊒ᵴേߦ߅޿ߡ‫ޔ‬ᩰᲑߩㅴൻࠍㆀߍߚ‫ޕ‬એਅ‫ࠍࠄࠇߘޔ‬೉᜼ߔࠆ㧦z TSUBAME ߩࡂ࡯࠼࠙ࠚࠕჇᒝߦࠃࠆ TSUBAME1.1 ߆ࠄ 1.2 ߳ߩㅴൻߔߢߦ࠻ࡇ࠶ࠢࠬߦ߅޿ߡ NVIDIA Tesla GPU ߩㅊടߦ㑐ߒߡߪㅀߴߚ߇‫ࠇߘޔ‬એᄖߦ߽
TSUBAME ߩ⒳‫ࠕࠚ࠙࠼࡯ࡂߩޘ‬Ⴧᒝߦࠃࠆᒝൻࠍⴕߞߚ‫ޕ‬a) ߹ߕ‫ޔ‬‫࠼࠶࡝ࠣࠬࡄࡦࡖࠠޟ‬ၮ⋚ࠪࠬ࠹ࡓ↪Ⴧ⸳ࡈࠔࠗ࡞ࠪࠬ࠹ࡓ‫ޔߡߒߣޠ‬TSUBAMEߩᣢ⸳ߩ 1.1 ࡍ࠲ࡃࠗ࠻ߩࠬ࠻࡟࡯ࠫ‫ޔ‬ਗ߮ߦ 2006 ᐕᐲߦᒝൻߒߚ 0.5 ࡍ࠲ࡃࠗ࠻ߩ
NESTRE ࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓࠍߐࠄߦᒝൻߔࠆߎߣࠍⴕߞߚ‫ౕޕ‬૕⊛ߦߪ‫ޔ‬NESTRE߳ߩ InfiniBand ࡀ࠶࠻ࡢ࡯ࠢߩ⚻〝ࠍ⏕଻ߒ‫ޔ‬TSUBAME ࠬ࠻࡟࡯ࠫߣ߶߷ห╬ߩࠕࠢ࠮ࠬᕈ⢻ࠍ⏕଻ߔࠆߣ౒ߦ‫ޔ‬LUSTRE ਗ೉ࡈࠔࠗ࡞ࠪࠬ࠹ࡓߩᕈ⢻ะ਄߅ࠃ߮⠴᡿㓚ᕈߩ⏕଻ߩߚ߼ߦ‫ࠍ࡯ࡃ࡯ࠨ࠲࡯࠺࠲ࡔޔ‬ਛᔃߦჇᒝࠍⴕߞߚ߽ߩߢ޽ࠆ‫ޕ‬ᒁ߈⛯߈‫ޔ‬᧪ᐕᐲߪ࠹࡯ࡊࠕ࡯ࠞࠗࡃ࡮㓏ጀဳᄢⷙᮨࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓࠍਛᔃߦჇᒝߒ‫ޔ‬ㅼㄼߒߚࠬ࠻࡟࡯ࠫ㊀ⷐߦኻಣߔࠆ੍ቯߢ޽ࠆ‫ޕ‬b) ᰴߦ‫ޔ‬‫ᦨޔߡߒߣޠ⟲ࡃ࡯ࠨ↪ࠗࡌ࡯ࠨ࠲࡯ࡔ࡜ࡄޟ‬ᣂߩ x86 ♽ߩ CPU ߢ޽ࠆ Intel ␠⵾ߩ Nehalem-EP Xeon ࠍᠩߔࠆ 16 ࡁ࡯࠼࡮128CPU ࠦࠕߩࡁ࡯࠼⟲ߩჇ⸳ࠍⴕߞߚ‫ޕ‬ߎࠇࠄߩࡁ࡯࠼⟲ߪ‫ޟ‬co-TSUBAME‫ߣޠ‬๭߫ࠇ‫ⷙޔ‬ᮨߪዊߐ޿߽ߩߩ‫ޔ‬ฦࠦࠕߩㅙᰴ
ಣℂᕈ⢻ߪ⃻ⴕߩ TSUBAME ߩ CPU ߢ޽ࠆ AMD Opteron 280 ߣᲧセߔࠆߣੑ୚⒟ᐲ޽ࠅ‫ߢࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕߩဳࠗࡌ࡯ࠨ࠲࡯ࡔ࡜ࡄޔ‬ᄢ޿ߦജࠍ⊒ើߔࠆߎߣ߇ᦼᓙߐࠇࠆ‫ޕ‬c) ߹ߚ‫ᧄޔ‬ቇ Global COE‫▚⸘ޟ‬਎⇇ⷰ‫߇ޠ‬ᤓᐕᐲ⺞㆐ߒߚ Intel Harpertown Xeon 720
CPU ࠦࠕߩࠢ࡜ࠬ࠲ဳ⸘▚ᯏ‫ޟ‬TSUBASA‫ ࠍޠ‬TSUBAME ߣㅪ៤ߐߖ‫ޔ‬ᓟㅀߔࠆࡊ࡜
ࠗࠝ࡝࠹ࠖᯏ⢻ࠍᵴ↪ߒߡ‫ޔ‬ⓨ޿ߡ޿ࠆ㓙ߦߪ৻⥸࡙࡯ࠩ߇ TSUBASA ࠠࡘ࡯ (Best
Effort ⋧ᒰ)ߣߒߡᵴ↪ߢ߈ࠆࠃ߁ߦߒߚ‫ޕ‬54ߎࠇࠄߩჇᒝ߅ࠃ߮GPUࠕࠢ࠮࡜࡟࡯࠲ߩჇᒝߦࠃࠅ‫ޔ‬࿑ 3-1.1 ߩTSUBAME1.2 ߩ᭴ᚑߣߥߞߡ޿ࠆ‫ޕ‬GPUએᄖߩ᜛ᒛㇱಽߪ࿾๧ߛ߇‫ޔ‬TSUBAMEో૕ߦኻߔࠆ㔛ⷐߦ᦭ലߦᔕ
߃ࠆߚ߼ߦ㕖Ᏹߦᓎ┙ߟ߽ߩߢ޽ࠆ‫⺞ࡦࠦࡄࠬޔߚ߹ޕ‬㆐ߐࠇߚTSUBAME1.0 ߩㇱಽߪᐔ
ᚑ 22 ᐕ 3 ᦬ߩᄾ⚂ḩੌᤨߦ㄰ළ੍ቯߛ߇‫ࠇߘޔ‬એᄖߩ⺞㆐ㇱಽߪᱷࠅ‫ޔ‬TSUBAME2.0 ㆇ↪㐿ᆎᤨߩ‫⾗ߩޠ߉ߥߟޟ‬Ḯߣߒߡ᦭ലߦᵴ↪ߐࠇࠆ੍ቯߢ޽ࠆ‫ޕ‬z TSUBAME ㆇ↪ߦ㑐ߔࠆ᭽‫ߥޘ‬ᡷༀ
TSUBAME ߩㆇ↪ߦ㑐ߒߡ߽‫ޔ‬TSUBAME Town Hall ࠍ 6 ᦬ 9 ᣣߦ㐿௅ߒ(ෳ⠨⾗ᢱෳᾖ)‫ޔ‬߹ߚࠕࡦࠤ࡯࠻⺞ᩏߥߤࠍ⛮⛯⊛ߦⴕߞߡ‫ޔ‬᭽‫ߥޘ‬ㆇ↪ᡷༀࠍⴕߞߚ‫ޕ‬
1. ᚒ࿖ No.1 ࠬࡄࠦࡦߩ࿾૏ߩ⛽ᜬ࡮ᅓㆶ㵨

200 TF(TeraFlops)⚖߳ㅦᐲะ਄㆐ᚑ㧦ኻ᧲ᄢ (08 ᐕ 6 ᦬/140TF), ࿾⃿ࠪࡒࡘ࡟࡯࠲
2 (09 ᐕ 3 ᦬/131TF),

2. ᄢⷙᮨ⿥ਗ೉⸘▚(HPC)࡙࡯ࠩߩ㜞ᐲࠨࡐ࡯࠻࡮ਇ౏ᐔᗵߩ⸃ᶖ
㵨

HPC ࠠࡘ࡯ߩഃ⸳

㵨

ClearSpeed ࠕࠢ࠮࡜࡟࡯࠲ߩᦝߥࠆ᦭ലᵴ↪

3. ߺࠎߥߩࠬࡄࠦࡦ--❥ᔔᦼߩ⸘▚⾗Ḯਇ⿷ኻᔕ࡮ᷙ㔀ߩ⸃ᶖ࡮౏ᐔᕈߩ⏕଻㵨ࡊ࡟ࡒࠕࠨ࡯ࡆࠬ㧦࡚ࠫࡉࡊ࡜ࠗࠝ࡝࠹ࠖߣ⺖㊄ߩኻᔕߦࠃࠆᦝߥࠆᏒ႐ේℂ⏕┙㵨GCOE-⸘▚਎⇇ⷰ TSUBASA࡮co-TSUBAME ⸘▚ࡁ࡯࠼࡮ࠕࠢ࠮࡜࡟࡯࠲ߦࠃࠅ‫ޔ‬
ታ⾰ 50%એ਄᳢↪⸘▚⾗ḮჇ

4㧚TSUBAME2.0 ߦะߌߚ⸳⸘࡮⎇ⓥ࡮ડᬺㅪ៤
㵨

NEC, Sun, Microsoft, Novell ╬, NVIDIA

5. ࠺࡯࠲ၮ⋚ᒝൻ 1: ࠹࡜ࡃࠗ࠻⚖ᄢⷙᮨ࠺࡯࠲ࠣ࡝࠶࠼
㵨

NESTRE ࠪࠬ࠹ࡓߣ TSUBAME ធ⛯ߦࠃࠆᄢⷙᮨ࠺࡯࠲ࡎࠬ࠹ࠖࡦࠣ

6. ࠺࡯࠲ၮ⋚ᒝൻ 2: ߺࠎߥߩࠬࡄࠦࡦ--ోቇࠬ࠻࡟࡯ࠫࠨ࡯ࡆࠬ
㵨

Windows/Linux/Mac ߥߤ߆ࠄࡑ࠙ࡦ࠻น⢻‫ోޔ‬ቇߦᢙච GB/ੱࠍឭଏ

7. ߺࠎߥߩࠬࡄࠦࡦ—ࡎࠬ࠹ࠖࡦࠣࠨ࡯ࡆࠬᒝൻ
㵨੐ോ♽ߩࡎࠬ࠹ࠖࡦࠣߩߚ߼ߩ࠮ࠠࡘ࡝࠹ࠖ߅ࠃ߮ା㗬ᕈ⏕଻

8. NII ࠨࠗࡃ࡯ࠨࠗࠛࡦࠬࠗࡦࡈ࡜࡮ᧄᩰࠨ࡯ࡆࠬ㐿ᆎ㵨ઁ࠮ࡦ࠲࡯ߣදജߒߡ NAREGI ࠣ࡝࠶࠼ࡒ࠼࡞ v.1.1 ߩㆇ↪㐿ᆎߎࠇࠄߩ߁ߜ‫ޔ‬2, 3 ߦ㑐ߒߡߪએਅߩࠃ߁ߥ⋡⊛ߢᡷༀࠍⴕߞߚ‫ޕ‬TSUBAME ߪ᭽‫ߥޘ‬೑↪ᒻᘒߦ㑐ߒ‫ޔ‬fair use ࡐ࡝ࠪ࡯ࠍ೙ቯߒߡ޿ࠆ߇‫৻ޔ‬ㇱߩᄢⷙᮨਗ೉ MPI ࡙࡯ࠩ‫߅ޔ‬ࠃ߮ቇળߩ⺰ᢥ✦߼ಾࠅߥߤߢ✕ᕆᕈߩ㜞޿࡚ࠫࡉࠍ⿛ࠄߖࠆᔅⷐ߇޽ࠆ࡙࡯ࠩ߆ࠄ‫ޔ‬ࠠࡘ࡯ᓙߜߩᤨ㑆߇⇣Ᏹߦ㐳ߔ߉‫ޔ‬චಽ߆ߟ౏ᐔߥ࡚ࠫࡉታⴕᤨ㑆߇ᓧࠄࠇߡ޿ߥ޿‫޿ߣޔ‬߁ᜰ៰߇ⶄᢙ޽ߞߚ‫৻ޔߪࠇߎޕ‬ㇱߩ࡙࡯ࠩ߇ᭂ┵ߦ㐳޿ታⴕᤨ㑆ߩ࡚ࠫࡉࠍᄢ㊂ߦ⿛ࠄߖ55ߡߒ߹޿‫߇ࠄࠇߘޔ‬ⓨߊ߹ߢߪᓙߜ࡚ࠫࡉ߇ታⴕߢ߈ߥ޿ߛߌߢߪߥߊ‫ޔ‬BES ࠠࡘ࡯ߢߪ
ᛛⴚ⊛ߥ೙㒢ߦࠃࠅ‫ޔ‬ዊߐ޿࡚ࠫࡉ߇ఝవ⊛ߦㅊ޿⿧ߒߡⴕ߈‫ޔ‬ᄢⷙᮨ࡚ࠫࡉ߇ోߊᵹࠇߥ
޿⁁ᴫߦߥߞߡߒ߹ߞߚߎߣߢ޽ࠆ‫ޕ‬⏕߆ߦ TSUBAME ⥄りߩ೑↪₸߇ᄢᄌ㜞޿ߎߣߪ༑߫ߒ޿߇‫ޔ‬਄⸥ߩࠃ߁ߥ⁁ᘒߪ౏ᐔᕈࠍᰳߊߩߣ‫ߥ߁ࠃߩߎ᧪ᧄޔ‬ᄢⷙᮨߥࠬࡄࠦࡦߢߩߺࡔ࡝࠶࠻ࠍ੨ฃߢ߈ࠆߴ߈࡙࡯ࠩ߇
ోߊᓧࠄࠇߥ޿‫⁁߁޿ߣޔ‬ᴫߦߥࠆ‫ޕ‬ᩮᧄ⊛ߥ⸃᳿ᴺߣߒߡߪ‫⾗ޔ‬ḮჇᒝߢ޽ࠅ‫ߪࠄࠇߘޔ‬೨ㅀߩࠃ߁ߦߢ߈ࠆ▸࿐ߢⴕߞߡ޿ࠆ߇‫߽ߢࠇߘޔ‬㒢⇇߇޽ߞߚ‫ޕ‬ߘߎߢ‫ᧄޔ‬ᐕᐲߪ౏ᐔᕈࠍᦼߔߚ߼ߦ‫ޔ‬z ੍⚂೙ߩ HPC ࠠࡘ࡯ߩᣂ⸳z ࡊ࡟ࡒࠕࠨ࡯ࡆࠬߩᣂ⸳z ࠕࠢ࠮࡜࡟࡯࠲↪ߩ ClearSpeed ࠠࡘ࡯‫ޔ‬Tesla ࠠࡘ࡯ߩᣂ⸳
ࠍਛᔃߣߒߚᡷༀࠍⴕߞߚ‫ޕ‬ ੍⚂೙ߩ HPC ࠠࡘ࡯ߪ‫࡯࠳ࡦ࡟ࠞ߼ߓ߆ࠄ޽ޔ‬਄ߢ੍⚂ࠍⴕ޿‫ᦼߩߘޔ‬㑆࡙࡯ࠩߪ HPC
ࠠࡘ࡯ߩ 1000CPU ᒝߩ⾗Ḯࠍ⁛භ೑↪ߢ߈ࠆ೙ᐲߢ޽ࠆ‫ᦼ⚂੍ޕ‬㑆ߪ৻ㅳ㑆ࠍੑಽഀߒߚ
೨ඨ࡮ᓟඨߩ‫ߣޠ࠻࠶ࡠࠬޟ‬๭߫ࠇࠆ඙㑆ߢ޽ࠆ‫⾗߇ࠩ࡯࡙ߩੱ৻ޕ‬Ḯࠍ⁛භߔࠆߎߣࠍㆱ
ߌߟߟ‫ࠆ޽ޔ‬⒟ᐲ዁᧪ߦኻߒߡ੍ቯࠍ┙ߡࠄࠇࠆࠃ߁ߦߔࠆߚ߼‫ޔ‬ᐞߟ߆ߩⷙೣࠍ೙ቯߒߡ
޽ࠆ߇‫ ߪ⚦⹦ޔ‬TSUBAME ߩࡑ࠾ࡘࠕ࡞ࠍෳᾖߒߡ߶ߒ޿‫ޕ‬
8 ᦬߆ࠄᧄᩰㆇ↪ࠍᆎ߼ߚ߇‫ޔ‬⑺ࠃࠅ߆ߥࠅߩࠬࡠ࠶࠻߇వ߹ߢ੍⚂ߢၒ߹ࠆߣ޿߁ੱ᳇ࠨ࡯ࡆࠬߣߥࠅ‫ޔ‬ᄙߊߩ
1000CPU ⚖ߩᄢⷙᮨࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩታⴕࠍน⢻ߣߒߚ‫᧪ޕ‬ᐕᐲߪ੹ᐕᐲߩჇ⸳⾗Ḯ‫ޔ‬ߐࠄߦᐞߟ߆ߩ೑↪₸ߩૐ޿ೋᔃ⠪↪ߩ⾗Ḯࠍ೑↪ߔࠆߎߣߦࠃࠅ‫ⶄޔ‬ᢙ߆ߟዊဳߩ੍⚂ࠨ࡯ࡆࠬࠍታᣉߒ‫ޔ‬TSUBAME2.0 ߢߪߐࠄߦჇടߐߖࠆ੍ቯߢ޽ࠆ‫ޕ‬ ࡊ࡟ࡒࠕࡓࠨ࡯ࡆࠬߪ‫ޔ‬ఝవᐲ߿ᦨᄢታⴕᤨ㑆(makespan)ࠍᔅⷐߦᔕߓߡ࡙࡯ࠩ߇ᜰ
ቯ࡮ᑧ㐳ߢ߈ࠆࠨ࡯ࡆࠬߢ޽ࠆ‫ޕ‬ఝవᐲߩ࡟ࡌ࡞ߪ 3 ࡟ࡌ࡞޽ࠅ‫ޔ‬ㅢᏱߩ࡚ࠫࡉߪᦨૐ࡟
ࡌ࡞ߢࠨࡉࡒ࠶࡚ࠪࡦ㗅ߦታⴕߐࠇࠆ߇‫৻ޔ‬Ბ㜞޿࡟ࡌ࡞ߩ࡚ࠫࡉߣߒߡࠨࡉࡒ࠶࠻ߔࠆߣ‫ޔ‬ਅ૏ߩ࡟ࡌ࡞ࠍోߡㅢࠅ⿧ߒߡ next-to-run ߩ࡚ࠫࡉߣߥࠆ‫ⶄޕ‬ᢙߩ㜞ࡊ࡜ࠗࠝ࡝࠹ࠖߩ
࡚ࠫࡉ߇޽ࠆ႐วߪ‫ߩࠄࠇߘޔ‬ਛߢࠨࡉࡒ࠶࡚ࠪࡦ㗅ߦታⴕߐࠇࠆ߇‫ߦࠄߐޔ‬㜞޿ࡊ࡜ࠗࠝ
࡝࠹ࠖࠍᜰቯߔࠆߎߣߢ‫ࠍࠄࠇߘޔ‬㘧߮⿧ߔߎߣ߇น⢻ߢ޽ࠆ‫৻ޔߒߛߚޕ‬Ბ㜞޿ࡊ࡜ࠗࠝ
࡝࠹ࠖࠍᜰቯߔࠆߚ߮ߦ‫⺖ޔ‬㊄ଥᢙ߇୚ߣߥࠆ‫ޕ‬ᦨᄢታⴕᤨ㑆߽ᦨᄢ৻ㅳ㑆ߣ⍴ߊߥߞߚ߇‫ޔ‬ᑧ㐳ࠝࡊ࡚ࠪࡦࠍᜰቯߒߡ୚‫ޔ‬4 ୚ߦߢ߈ࠆ‫ߩߎޕ‬႐ว߽⺖㊄ଥᢙ߇୚‫ޔ‬4 ୚ߣߥࠆ‫ࠇߎޕ‬ࠄߦࠃࠅ‫ߦࡦࠪࡑ߿࡞࡯ࡘࠫࠤࠬߩࠩ࡯࡙ޔ‬૛⵨߇޽ࠆߣ߈ߪㅢᏱߩࠨࡉࡒ࠶࡚ࠪࡦߣ⺖㊄ࠍ೑↪ߒ‫߼✦ޔ‬ಾࠅߥߤߢ✕ᕆᕈߩ㜞޿࡚ࠫࡉࠍ⿛ࠄߖࠆᔅⷐ߇޽ࠆ႐ว߿ࡑࠪࡦ߇ᷙ㔀ߒߡ޿ࠆ႐วߦߪ‫ࠍࠖ࠹࡝ࠝࠗ࡜ࡊߦ⊛ᤨ৻ޔ‬㜞߼ߡታⴕߔࠆߎߣ߇น⢻ߣߥࠆ‫ޕ‬ ೨ㅀߩ GCOE‫▚⸘ޟ‬਎⇇ⷰ‫ ߩޠ‬TSUBASA ߩ৻⥸࡙࡯ࠩ೑↪߽หߓࡔࠞ࠾࠭ࡓࠍ೑↪ߒߡ޿ࠆ‫ޕ‬ㅢᏱߩ BES ߣ⇣ߥࠆߩߪ‫ޔ‬GCOE ࡙࡯ࠩ߇Ᏹߦᦨ㜞ࡊ࡜ࠗࠝ࡝࠹ࠖߢታⴕߐࠇࠆ

56

ߩߦኻߒ‫ᦨߪࠩ࡯࡙⥸৻ޔ‬ૐࡊ࡜ࠗࠝ࡝࠹ࠖߣߥࠅ‫ ߟ߆ޔ‬makespan ߇ᢙᤨ㑆ߣ⍴޿ߎߣߢ޽ࠆ‫ޕ‬
 ࠕࠢ࠮࡜࡟࡯࠲↪ߩ ClearSpeed ࠠࡘ࡯ߪ‫ޔ‬એਅߩࠃ߁ߥ᷹ⷰߩరߦ⸳ቯࠍⴕߞߚ‫ࠕޕ‬ࠢ࠮࡜࡟࡯࠲ࠍᦨᄢᵴ↪ߔࠆ႐ว‫ޔ‬CPU ߽หᤨߦࡈ࡞Ⓙ௛ߐߖࠆߎߣ߇ℂᗐߢ޽ࠆ߇‫․ޔ‬ߦ RPC ဳߩ೑↪ߛߣ‫ޔ‬ᄙߊߩ႐ว CPU ߇ࠕࠗ࠼࡞⁁ᘒߣߥߞߡߒ߹߁‫৻ޕ‬ᣇ‫࡜࠮ࠢࠕޔ‬࡟࡯࠲ߩ⋧੕ឃ㒰ࠍⴕ߁ࡔࠞ࠾࠭ࡓߪ⃻⁁ߩࡃ࠶࠴ࠠࡘ࡯ࠪࠬ࠹ࡓߦߪ৻⥸⊛ߦ↪ᗧߐࠇߡ޿ߥ޿‫ ߪߢ⁁⃻ޔߡߞࠃޕ‬SLA ࠠࡘ࡯ࠍ↪޿ߡࡁ࡯࠼න૏ߩࠕࡠࠤ࡯࡚ࠪࡦ߇⏕ታߢ޽ࠆ߇‫ߪࠇߎޔ‬೨ㅀߩ RPC ဳࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩࠃ߁ߥࠤ࡯ࠬߢߪ‫ޔ‬CPU ߇૛ࠆߛߌߢߥ
ߊ⺖㊄߽㜞޿‫ޕ‬ߘߎߢ‫࠲࡯࡟࡜࠮ࠢࠕޔ‬㧗ዋᢙߩ CPU ߣ޿߁‫ߥ⊛ဳౖޔ‬೑↪ᴺߢߩ࡙࡯ࠩࠍࠨࡐ࡯࠻ߔ
ࠆߚ߼ߦ‫ޔ‬BES ࠠࡘ࡯ߣࠝ࡯ࡃ࡯࡜࠶ࡊߒߡ ClearSpeed ࠠࡘ࡯ࠍታ⃻ߒߚ‫࡯ࡘࠠߩߎޕ‬਄ߢࡁ࡯࠼߇࡚ࠫࡉߦഀࠅᒰߡࠄࠇࠆ႐ว‫ޔ‬೑↪ CPU ᢙߪࠕࠢ࠮࡜࡟࡯࠲ࡁ࡯࠼޽ߚࠅ
1-2 ୘ߩߺߣߥࠅ‫ޔ‬ᱷࠅߩ CPU ߪㅢᏱߩ BES ⾗Ḯߣߒߡઁߩ࡚ࠫࡉߦഀࠅᒰߡࠄࠇࠆ‫৻ޕ‬ᣇࠕࠢ࠮࡜࡟࡯࠲߇ⵝ⌕ߐࠇߡ޿ߥ޿ࡁ࡯࠼‫ߪ޿ࠆ޽ޔ‬ㅢᏱߩ࡚ࠫࡉߢ CPU ࠍ૶޿߈ߞߡ
޿ࠆ႐วߪ‫ߪࠩ࡯࡙ࠅࠃߦࠇߎޕ޿ߥࠇߐࡦ࡚ࠪ࡯ࠤࡠࠕޔ‬ဋ⾰ߥ(ࡁ࡯࠼޽ߚࠅ 1-2CPU +ࠕࠢ࠮࡜࡟࡯࠲) x ⷐ᳞ࡁ࡯࠼ᢙ‫⾗ߚߞ޿ߣޔ‬Ḯࠍഀࠅᒰߡࠄࠇࠆߎߣߦߥࠆ‫ޕ‬ห᭽ߩഀᒰ
ᴺߪ Tesla ߦ߽ㆡ↪ߐࠇ‫ޔ‬Tesla ࠠࡘ࡯⟲ߣߒߡ೑↪น⢻ߣߥߞߡ޿ࠆ‫ޕ‬z ․છᢎຬߩᒝൻ㧔CSI㧕߅ࠃ߮࿖┙ᖱႎቇ⎇ⓥᚲ࡮CSI ࠣ࡝࠶࠼߳ߩ⽸₂Ⴧᄢߔࠆ࡙࡯ࠩᢙ࡮ᄖㇱ೑↪࡮ࠃࠅⶄ㔀ߥㆇ↪࡮ߐࠄߦߪᚒ߇࿖ߩ࠽࡚ࠪ࠽࡞ࠣ࡝࠶࠼ߣߒ
ߡߩ NAREGI ࡒ࠼࡞࠙ࠚࠕࠍ↪޿ߚ CSI ࠣ࡝࠶࠼ߩᢛ஻࡮ߐࠄߦߪ TSUBAME2.0 ߩ⸳⸘ኻᔕߩߚ߼ߦ‫ޔ‬࿖┙ᖱႎቇ⎇ⓥᚲ߆ࠄߩᆔ⸤ࠍฃߌߚᒻߢ‫ޔ‬TSUBAME/CSI ߩㅪ៤⎇ⓥ
ຬ࡮․છഥᢎߩࠬ࠲࠶ࡈᒝൻࠍⴕߞߚ‫ᧄޕ‬ᐕᐲߪએਅߩੑฬߢ޽ߞߚ-ኪᧄ ⧷ਯ (ㅪ៤⎇ⓥຬ)-ᄢỈ ᷡ (ㅪ៤⎇ⓥຬ)ੑੱߪ TSUBAME ߅ࠃ߮ CSI ࠣ࡝࠶࠼ታ⃻ߩߚ߼ߩ NII ਥ௅ߩࠣ࡝࠶࠼࠲ࠬࠢࡈࠜ࡯ࠬ
ߦෳടߒ‫ޔ‬NAREGI ࠣ࡝࠶࠼ࡒ࠼࡞࠙ࠚࠕ 1.1 ߩታ㛎⊛㈩஻‫ߦࠄߐޔ‬㑐ㅪߔࠆᢥㇱ⑼ቇ⋭/NII ߩ e-ࠨࠗࠛࡦࠬ RENKEI ࡊࡠࠫࠚࠢ࠻ߦෳടߒ‫ޔ‬㒋ᄢߥߤߣ࠺࡯࠲ࠣ࡝࠶࠼ߩታ㛎ࡊ࡜࠶࠻ࡈࠜ࡯ࡓ㈩஻ߥߤࠍⴕߞߚ‫ޕ‬᧪ᐕᐲߪᄢỈߦઍࠊࠅ‫ޔ‬૒⮮ੳ࡮ṚỈ⌀৻ᦶำ߇⌕છߒ‫߮ࠃ߅࠼࠶࡝ࠣ࠲࡯࠺ࠇߙࠇߘޔ‬NAREGI ࠣ࡝࠶࠼ߩ TSUBAME ਄ߩᧄᩰㆇ↪ࠍⴕ߁ߚ߼ߦᵴべߔࠆ੍ቯߢ޽ࠆ‫ޕ‬57

z ᰷Ꮊ International Supercomputing Conference ߢߩࠠ࡯ࡁ࡯࠻࡮Supercomputing 08 ߢߩ᧲Ꮏᄢࡉ࡯ࠬߢߩዷ␜࡮ਗ೉ࡊࡠࠣ࡜ࡒࡦࠣࠦࡦ࠹ࠬ࠻࡮ᄙߊߩ⸰໧⠪ߥߤߩ᥉෸࡮␠
ળ⽸₂ᵴേ
¾

TSUBAME ࡝࡯࠳࡯ߢ޽ࠆ᧻ጟߪ‫ޔ‬6 ᦬ 18-20 ᣣߦ࠼ࠗ࠷࡮࠼࡟ࠬ࠺ࡦᏒߢ㐿௅ߐࠇߚ᰷Ꮊ International Supercomputing Conference(ISC08)ߢ‫ޔ‬TSUBAME ࠍਛᔃߣߒߚࠝ࡯ࡊ࠾ࡦࠣࠠ࡯ࡁ࡯࠻⻠Ṷࠍⴕߞߚ‫ޕ‬ISC ߪ਎⇇ੑᄢࠬ࡯ࡄ࡯ࠦࡦ
ࡇࡘ࡯࠹ࠖࡦࠣળ⼏ߩ৻ߟߢ޽ࠅᲤᐕ‫ޔ‬ජੱએ਄ߩෳട⠪߇޽ࠆ‫ߡ޿߅ߦߎߘޕ‬TSUBAME ߩ⒳‫ߩޘ‬ᵴേ߿ᬺ❣߇࿖㓙⊛ߦ⹺߼ࠄࠇߚߩߪᄢᄌశᩕߥߎߣߢ޽ࠅ‫ޔ‬߆ߟᣣᧄߩࠬࡄࠦࡦ߇ࠠ࡯ࡁ࡯࠻⻠Ṷߩኻ⽎ߣߥߞߚߩߪೋ߼ߡߢ޽ࠆ‫ޕ‬¾

߹ߚ‫ߩࠣࡦࠖ࠹࡯ࡘࡇࡦࠦ࡯ࡄ࡯ࠬߩߟ৻߁߽ޔ‬ਥⷐ࿖㓙ળ⼏ߢ‫ޔ‬Ფᐕ☨࿖ߢ㐿௅
ߐࠇࠆACM/IEEE Supercomputing ߇੹ᐕߪ࠹ࠠࠨࠬᎺߩࠝ࡯ࠬ࠹ࠖࡦᏒߢ 11
᦬ 15-20 ᣣߩ㑆৻ਁੱએ਄ߩෳട⠪ࠍ㓸߼㐿௅ߐࠇߚ‫ޕ‬GSICߪGCOE‫▚⸘ޟ‬਎⇇ⷰ ‫ ߣ ޠ‬ว ห ߢ 10 ᐕ ߱ ࠅ ߦ ᓳ ᵴ ߔ ࠆ ᒻ ߢ ᧲ Ꮏ ᄢ ߩ ዷ ␜ ࡉ ࡯ ࠬ ࠍ ಴ ዷ ߒ ߚ ‫ޕ‬Supercomputingߢߪ‫ޔ‬නߥࠆ⺰ᢥ⊒⴫ߛߌߢߥߊ‫৻ޔ‬ᵹߩ⎇ⓥᯏ㑐߿⸘▚ᯏ࠮ࡦ࠲࡯߇ߘߩ⎇ⓥ⚿ᨐࠍNEC, Sun, IBM, Intel, AMDߥߤߩฦ⒳ડᬺߩࡉ࡯ࠬߣኻ
╬ߦ⸳ߌࠆߎߣ߇ㅢ଀ߣߥߞߡ޿ࠆ‫੹ޕ‬࿁ߘࠇ߇ታ⃻ߢ߈ߚߎߣߦࠃࠅGSICߩᣣᧄߩ࡝࡯࠺ࠖࡦࠣ࠮ࡦ࠲࡯ߣߒߡߩ┙႐ࠍ␜ߔߎߣ߇ߢ߈ߚ‫ߪߦࠬ࡯ࡉޕ‬ᄙߊߩ⸰໧⠪߇޽ࠅ‫⾰ޔ‬໧ࠍฃߌࠆߥߤ‫⋓ޔ‬ᴫߥ⁁ᴫߢ޽ߞߚ(࿑ 3-1.2)‫᧪ޕ‬ᐕᐲߪࠃࠅᄢ
߈ߥࡉ࡯ࠬߢ‫ޔ‬GPUࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ߿TSUBAME2.0 㑐ଥߩ⎇ⓥዷ␜ࠍలታ
ߐߖࠆ੍ቯߢ޽ࠆ‫ޕ‬¾

ᧄᐕᐲ㨪᧪ᐕᐲߦ߆ߌߡ‫ޔ‬ᖱႎಣℂቇળ߇ SACSIS ળ⼏ߦ߅޿ߡਗ೉ࡊࡠࠣ࡜ࡒ
ࡦࠣࠦࡦ࠹ࠬ࠻ࠍ㐿௅ߒ‫ޔ‬GSIC ߽ TSUBAME ߩ⾗Ḯࠍ৻ㇱឭଏߔࠆᒻߢⓍᭂ⊛ߦෳടߒߡ޿ࠆ‫ᧄޔߪߢ࠻ࠬ࠹ࡦࠦᧄޕ‬ᐕᐲᧃᤨὐߢᣣᧄߩ࠻࠶ࡊ㧠࠮ࡦ࠲࡯ߩߘ
ࠇߙࠇߩࠬࡄࠦࡦ㧦᧲ᄢ T2K, ᧲Ꮏᄢ TSUBAME‫╳ޔ‬ᵄᄢ T2K, ੩ᄢ T2K ߇ㅪวߒߡోߡෳടߒߡ޿ࠆ‫ߩ࡯࠲ࡦ࠮ᧄޕ‬႐วߪ‫ ߦ߁ࠃࠆ޽ߦࠬࠢ࠶ࡇ࠻ޔ‬GPU ࠦࡦ࠹ࠬ࠻߽ਥ௅ߒߡ߅ࠅ‫ߦࠄߐޔ‬ᄐߩ㜞ᩞ↢ߩࠬࡄࠦࡦࠦࡦ࠹ࠬ࠻߽ട߃‫ޔ‬ᄙߊߩ⧯⠪ߦኻߒߡ TSUBAME ߩ೑↪ᯏળࠍਈ߃ߡ‫ߢ࠻ࠬ࠹ࡦࠦߟ߆ޔ‬ਗ೉ࡊࡠࠣ࡜ࡒ
ࡦࠣߩᛛⴚࠍ⏴޿ߡ߽ࠄ޿‫ޔ‬዁᧪ߩ HPC ߦ⽸₂ߒߡ߽ࠄ߁ߣ޿߁‫␠ޔ‬ળ⽸₂ࠍⓍᭂ⊛ߦⴕߞߡ޿ࠆ‫ߩࠄࠇߎޕ‬ᵴേߪ᧪ᐕᐲ߽Ⓧᭂ⊛ߦ⛯ߌࠆ੍ቯߢ޽ࠆ‫ޕ‬¾

⹦ߒߊߪ೎⴫ߦ⼑ࠆ߇‫ޔ‬ᧄᐕᐲ߽ TSUBAME ߪᄙߊߩ⸰໧࡮⷗ቇ⠪ࠍฃߌ౉ࠇߚ‫ޕ‬߹ߚ‫ޔ‬ᣂߚߥᐢႎ↪ߩ DVD ࠍ૞ᚑߒ‫ޔ‬ㆇ↪⚻㛎߿⾗ḮჇᒝࠍ෻ᤋߒߚౝኈߣߒ‫ޔ‬⸰໧⠪ࠍ฽߼ߡⓍᭂ⊛ߦ㈩Ꮣࠍⴕ޿‫ޔ‬ᅢ⹏ࠍඳߒߚ‫ޕ‬58

z TSUBAME2.0 ߩ⸳⸘㐿ᆎᦨᓟߦߥࠆ߇‫ߦߢߔޔ‬ᐔᚑ 21 ᐕᐲᧃ㨪22 ᐕᐲೋ㗡ࠍⒿ௛⋡ᮡߣߒߡ‫ޔ‬TSUBAME2.0 ߩ⸳⸘߅ࠃ߮⺞㆐ࠍ㐿ᆎߒߡ޿ࠆ‫⾗ߦߢߔޕ‬ᢱ᜗⺧ࠍ⚳߃‫ޔ‬ᄙߊߩឭ᩺ࠍᓧߡ޿ࠆ߇‫ࠄߐޔ‬ߦ㜞ᕈ⢻࡮㜞ല₸ࠍ߼ߑߒ‫ߟ߆ޔ‬਎㑆⊛ߦᮨ▸ߣߥࠆ⸳⸘ߣߒߡ‫ޔ‬਎⇇⊛ߦ TSUBAME1.0એ਄ߦᄢ߈ߥࠗࡦࡄࠢ࠻ࠍਈ߃ࠆࠬࡄࠦࡦߣߥࠆ੍ቯߢ޽ࠆ‫ޕ‬

TSUBAME 1.2䈻䈱ㅴൻTesla GPU, 䉴䊃䊧䊷䉳, co-TSUBAME
Voltaire ISR9288 Infiniband x8
10Gbps x2 ~1310+50 Ports~13.5Terabits/s(3Tbits bisection)
10Gbps+External NW

NEC SX-8i
500GB
48disks䉴䊃䊧䊷䉳ᦝ䈭䉎ᒝൻ
1.5 Petabyte (Sun x4500 x 60)
0.1Petabyte (NEC iStore)
Lustre FS, NFS, CIF, WebDAV (over IP)
60GB/s aggregate I/O BW

10,000 CPU Cores

Sun x4600 (16 Opteron Cores)
32~128 GBytes/Node10480core/655Nodes
21.4TeraBytes
50.4TeraFlops
OS Linux (SuSE 9, 10)
NAREGI Grid MW

Unified Infiniband 300,000 SIMD Cores
network

GCOE TSUBASAHarpertown-Xeon
90Node 720CPU
8.2TeraFlops~900TFlops-SFP,~170TFlops-DFP
80TB/s Mem BW (x2 ES)

NEW: co-TSUBAME
16Node 128CPU(Intel Nehalem)
1.5 TeraFlops

PCI-e

ClearSpeed CSX600
SIMD accelerator
360 648 boards,
35
52.2TeraFlops

Nvidia Tesla S1070: 170บ, ✚⸘ 680䉦䊷䊄
High Performance in Many BW-Intensive Apps
10% power increase over TSUBAME 1.0 (130TF SFP / 80TF DFP)

࿑ 3-1.1 TSUBAME 1.2 ߩ᭴ᚑ࿑ 3-1.2 ACM/IEEE Supercomputing ߦ߅ߌࠆ᧲Ꮏᄢࡉ࡯ࠬ

59

60

61

62

63

64

65

66

67

68

69

70

71

72

 ㅅᖺࡔ࡯࡞ኻ╷ᖱႎၮ⋚ㇱ㐷 દ᧲೑຦

ᧄቇ౒ㅢࡔ࡯࡞ࠨ࡯ࡃߪ㧘ᐔᚑ 18 ᐕ 4 ᦬ߩ᧲Ꮏᄢࡐ࡯࠲࡞ߩㆇ↪㐿ᆎߣหᤨߦ㧘ᧄቇߩቇ↢࡮ᢎ⡯ຬోຬࠍኻ⽎ߣߒߡዉ౉ߐࠇ㧘ᐔᚑ 20 ᐕ 12 ᦬ᤨὐߢ㧘⚂ 1 ਁ 3 ජੱ߇೑↪ߒߡ޿ࠆ㧚ߣߎࠈ߇㧘ᐔᚑ 20 ᐕߦ౉ࠅ㧘ㅅᖺࡔ࡯࡞߇ᭂ┵ߦჇടߒᆎ߼㧘ᧄቇ౒ㅢࡔ࡯࡞ࠨ࡯
ࡃߩ৻ᣣᒰߚࠅߩࡔ࡯࡞ฃାᢙ߇ 120 ਁઙࠍ⿥߃㧘ߘߩౝ⚂ 9 ഀ߇ㅅᖺࡔ࡯࡞ߢභ߼ࠄࠇ
ࠆࠃ߁ߥ⁁ᴫߦ⥋ߞߚ㧚߹ߚ㧘ቇᄖࡔ࡯࡞ࠨ࡯ࡃߢࡔ࡯࡞ฃାࠍߔࠆߚ߼ߦ㧚ฃା୘ੱ⸳
ቯߦࠃࠅᧄቇ౒ㅢࡔ࡯࡞ࠨ࡯ࡃ߆ࠄቇᄖォㅍߐࠇߚㅅᖺࡔ࡯࡞߇ේ࿃ߢ㧘৻ㇱቇᄖࠨࠗ࠻
ߦ߅޿ߡ㧘ᧄቇ߆ࠄㅍାߐࠇࠆࡔ࡯࡞ࠍᜎุߔࠆ੐଀߇⊒↢ߒߚ㧚ߘߎߢ㧘ߎߩࠃ߁ߥ⁁ᴫࠍᡷༀߔࠆߚ߼ߦ㧘ᐔᚑ 20 ᐕ 6 ᦬ 19 ᣣ㐿௅ߩᖱႎၮ⋚⛔᜝ቶળ⼏ߦ߅޿ߡ‫ޟ‬ㅅᖺࡔ࡯࡞ᕆჇኻ╷ߩߚ߼ߩ౒ㅢࡔ࡯࡞ࠨ࡯ࡃㆇ↪ᣇ㊎ߩᄌᦝ‫ࠍޠ‬ክ⼏࡮ੌᛚߩ਄㧘ਅ⸥ߩౝኈࠍ
⋡⊛ߣߒߡ㧘౒ㅢࡔ࡯࡞ࠨ࡯ࡃߦ߅ߌࠆㅅᖺࡔ࡯࡞ኻ╷ࠍታᣉߒߚ㧚z ᄖㇱࠨࠗ࠻ߦ߅޿ߡᧄቇ߆ࠄㅍାߐࠇߚࡔ࡯࡞ߩฃାᜎุౣ⊒ࠍ㒐ᱛߔࠆߎߣ(୘ੱ⸳ቯߦࠃࠅቇᄖォㅍߐࠇߚㅅᖺࡔ࡯࡞ߦࠃࠆ߽ߩ)㧘
z ౒ㅢࡔ࡯࡞ࠨ࡯ࡃߩ೑↪⠪ߩㅅᖺࡔ࡯࡞ಣℂ⽶⩄ࠍૐᷫߔࠆߎߣ㧘ߎߩ⋡⊛ࠍታ⃻ߔࠆߚ߼ߦ㧘౒ㅢࡔ࡯࡞ࠨ࡯ࡃߩㅅᖺࡔ࡯࡞ࡈࠖ࡞࠲ߢ‫ޟ‬ㅅᖺࡔ࡯࡞‫ߣޠ‬್ቯߐࠇㅅᖺࡔ࡯࡞ࡋ࠶࠳ (X-titech-spam)ߩઃ޿ߚࡔ࡯࡞ߦ㑐ߒߡߪ㧘(1) ቇᄖォㅍࡔ࡯࡞: ㅅᖺࡔ࡯࡞ࡋ࠶࠳ߩઃ޿ߚࡔ࡯࡞ߪోߡ⥄േ೥㒰ߒ㧘ቇᄖォㅍࠍ⸵ߐߥ޿(౒ㅢࡔ࡯࡞ࠨ࡯ࡃએᄖߩቇౝࡔ࡯࡞ࠨ࡯ࡃ߳ߩォㅍ߽ห᭽)㧚
(2) ౒ㅢࡔ࡯࡞ࠨ࡯ࡃ: ㅅᖺࡔ࡯࡞⥄േ೥㒰ᯏ⢻ࠍታⵝߒ㧘೑↪⠪න૏ߢᧄ೥㒰ᯏ⢻ߩ᦭ലൻ࡮ήലൻߩㆬᛯࠍน⢻ߣߔࠆߣ޿߁ㆇ↪ᣇ㊎ࠍዉ౉ߒߚ㧚ᧄኻ╷ߩౕ૕⊛ߥዉ౉ᚻ㗅ߪ㧘z ᐔᚑ 20 ᐕ 6 ᦬ 23 ᣣ 12 ᤨ: ⥄േ೥㒰ᯏ⢻ߩ⸳ቯࡔ࠾ࡘ࡯ߩቇౝ౏㐿z ᐔᚑ 20 ᐕ 7 ᦬ 22 ᣣ 12 ᤨ: ㅅᖺࡔ࡯࡞⥄േ೥㒰ᯏ⢻ߩታᣉߣߒߚ㧚߹ߚ㧘ㅅᖺࡔ࡯࡞ࡈࠖ࡞࠲ߩ⺋್ቯߩน⢻ᕈࠍ ᔨߔࠆ೑↪⠪ߦ㈩ᘦߒߡ㧘⥄േㅅᖺࡔ࡯࡞೥㒰ᯏ⢻ߩ⸳ቯࡔ࠾ࡘ࡯ߪ㧘ೋᦼ⸳ቯࠍ‫⥄ޟ‬േ೥㒰ᯏ⢻ࠍ᦭ല‫⁁ߩޠ‬ᘒߢቇౝ౏㐿ࠍⴕ޿㧘ߘߩᓟ㧘೑↪⠪න૏ߢ㓐ᤨ‫⥄ޟ‬േ೥㒰ᯏ⢻ࠍήല‫ߩޠ‬ᄌᦝ߇น⢻ߥㆇ↪ᣇ㊎ࠍណ↪ߒߚ㧚⸳ቯᣇᴺߥߤߩ⹦⚦ߪ㧘ਅ⸥ࠍෳᾖ޿ߚߛ߈ߚ޿㧚
http://portal.titech.ac.jp/info/doc/20080623.html
ᧄኻ╷ࠍታᣉߒߚᓟ㧘․ߦᄢ߈ߥᷙੂ࡮⺋േ૞߽ߥߊ㧘ㅅᖺࡔ࡯࡞⥄േ೥㒰ᯏ⢻ߦ㑐ߔࠆቇౝ೑↪⠪߆ࠄߩਇḩ࡮⧰ᖱߥߤߪ․ߦነߖࠄࠇߡ޿ߥ޿㧚ㅅᖺࡔ࡯࡞⥄േ೥㒰ߩലᨐߪ㧘౒ㅢࡔ࡯࡞ࠨ࡯ࡃߩฃାࡔ࡯࡞ᢙߦ߽⃻ࠇߡ߅ࠅ㧘ᐔᚑ 21 ᐕ 1 ᦬ᧃᤨὐߢߪ㧘৻ᣣᒰߚࠅߩฃାࡔ࡯࡞ᢙߪ⚂ 70 ਁઙ⒟ᐲߣߥߞߡ޿ࠆ㧚߹ߚ㧘ㅅᖺࡔ࡯࡞⥄േ೥㒰ᯏ⢻ߩήലൻࠍㆬᛯߒߡ޿ࠆ೑↪⠪ᢙߪ⚂ 350 ੱ(ᐔᚑ 21 ᐕ 1 ᦬ᧃᤨὐ)ߢ޽ࠆ㧚

73

 ᖱႎ⫾Ⓧᵴ↪ᵴേᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ ᮮ↰ᴦᄦ᭎ⷐ
ߎࠇ߆ࠄߩᄢቇߦߣߞߡ‫ޔ‬ᖱႎᛛⴚࠍᵴ↪ߒߡ‫ޔ‬ᢎ⢒࡮⎇ⓥࠍផㅴߔࠆߎߣߪᔅ㗇ߢ޽ࠆ‫࡞࠲ࠫ࠺ޔᤨߩߘޕ‬ൻߐࠇߚ⾆㊀ߥ⍮ߩ⾗↥ߢ޽ࠆ᭽‫ߥޘ‬ᢎ⢒࡮⎇ⓥࠦࡦ࠹ࡦ࠷߇ቇౝ
ߦᢔ࿷ߒߚ߹߹ߢߪ‫᦭ޔ‬ല೑↪ߔࠆߎߣ߇ߢ߈ߥ޿‫ޕ‬ᖱႎၮ⋚ㇱ㐷ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ߢߪ‫ޔ‬ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩਛᦼ⋡ᮡߦᓥ޿‫ߥ߁ࠃߩߘޔ‬ᢎ⢒࡮⎇ⓥࠦࡦ࠹ࡦ࠷ࠍࠪࠬ࠹
ࡑ࠹ࠖ࠶ࠢߦ⫾Ⓧߒ‫ޔ‬೑↪⠪ߦߣߞߡઃടଔ୯ߩ㜞޿ᬌ⚝࡮㈩ାࠨ࡯ࡆࠬࠍⴕ߁ߎߣࠍ⋡ᜰߒߡ޿ࠆ‫ޕ‬ߎߩߚ߼‫ޔ‬ቇⴚ⎇ⓥࠦࡦ࠹ࡦ࠷ࠍ⫾ⓍߔࠆResearch Repository‫ޔ‬ᢎ⢒ࠦࡦ࠹ࡦ࠷ࠍ⫾Ⓧ
ߔࠆCourseWareHouse‫⎇߮ࠃ߅ޔ‬ⓥᚑᨐ‛ࠍ⫾ⓍߔࠆDigital Museumࠍ 3 ᧄᩇߣߒߡ‫ޔ‬Tokyo Tech STAR (Science and Technology Academic Repository)ߩࠦࡦ࠮ࡊ࠻ࠍឭ᩺ߒ
ߡ޿ࠆ‫ޕ‬࿑ 3-3.1 ᏀߦTokyo Tech STARߩ᭴ᚑࠍ␜ߔ‫ޕ‬

࿑ 3-3.1 Tokyo Tech STAR ߣㆇ༡⚵❱ߩ⺑᣿ᖱႎၮ⋚ㇱ㐷ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁ߢߪ‫ޔ‬STAR ߩਛߢቇⴚ⎇ⓥࠦࡦ࠹ࡦ࠷ࠍ⫾Ⓧ࡮㈩ା
ߔࠆ Research Repository ߦ㑐ߒߡߪ‫ޔ‬ቇౝߩ⺰ᢥ߿․⸵ߩᖱႎࠍ⫾Ⓧ㈩ାߔࠆߚ߼ߩࠪ
ࠬ࠹ࡓߢ޽ࠆ T2R2 (Tokyo Tech Research Repository) ࠪࠬ࠹ࡓߩ㐿⊒ࠍⴕߞߡ޿ࠆ‫߹ޕ‬ߚ‫ޔ‬ᢎ⢒ࠦࡦ࠹ࡦ࠷ࠍ⫾Ⓧ࡮㈩ାߔࠆ CourseWareHouse ߦ㑐ߒߡߪ‫ޔ‬Tokyo Tech OCW ߩ㐿⊒ߦදജߒߡ߈ߚ‫ޔߦࠄߐޕ‬Digital Museum ߦ㑐ߒߡߪ‫ࡉࠗࠞ࡯ࠕޔ‬ផㅴᯏ᭴ߣදജࠍ
ⴕߞߡ޿ߊ੍ቯߢ޽ࠆ‫ޔઁߩߎޕ‬േ↹ࠬ࠻࡝࡯ࡓ㈩ାߩࠨ࡯ࡆ߽ࠬⴕߞߡ޿ࠆ‫ޕ‬એਅߢߪ‫ޔ‬ᖱႎၮ⋚ㇱ㐷ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁߇ਛᔃߣߥߞߡផㅴߒߡ޿ࠆT2R2 ߦ㑐ߒߡ⹦ߒߊႎ๔ࠍⴕ߁‫ޕ‬T2R2 ࠪࠬ࠹ࡓߩ㐿⊒ߩߚ߼‫ޔ‬ᖱႎၮ⋚⛔᜝ቶߩਅߩ࿑ᦠᖱႎㇱળߩਅߦ࡝ࠨ࡯࠴࡝ࡐࠫ࠻࡝ࡢ࡯ࠠࡦࠣࠣ࡞࡯ࡊ㧔RRWG㧕ࠍ᭴ᚑߒߡ޿ࠆ‫ޕ‬หWGߩቇౝߩ૏⟎ߠߌࠍ ࿑ 3-3.1 ฝߦ␜ߔ‫ޔߚ߹ޕ‬એਅߦᐔᚑ 20 ᐕᐲߩRRWGߩࡔࡦࡃ࡯ࠍ␜ߔ‫ޕ‬

74

ᮮ↰ᴦᄦ

ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ᢎ᝼‫ޣ‬ਥᩏ‫ޤ‬㚍⿧ᐾᕶቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ᢎ᝼

ᓼ᳗ஜિᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼⸘▚Ꮏቇኾ᡹ᢎ᝼

☨ፒ⋥᮸ᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼⸘▚Ꮏቇኾ᡹ᢎ᝼

⿒㑆໪ਯᄢቇ㒮␠ળᎿቇ⎇ⓥ⑼ੱ㑆ⴕേࠪࠬ࠹ࡓኾ᡹ಎᢎ᝼ᅏ᧛ ቇ♖ኒᎿቇ⎇ⓥᚲಎᢎ᝼ᦸ᦬␭ᵗቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ಎᢎ᝼

ᷰㆺ㓁੺ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ഥᢎ

ን↰ஜᏒᖱႎ࿑ᦠ㙚⺖㐳

੖๧ᾖ᣿ᖱႎၮ⋚⺖㐳

ၳ᧻ᕺ⟤ሶᖱႎ࿑ᦠ㙚⺖✚ോࠣ࡞࡯ࡊ㐳ᣣ⟎❥᣿ᖱႎၮ⋚⺖ၮ⋚✚ോࠣ࡞࡯ࡊ㐳ᷦ⼱⌀ℂሶᖱႎ࿑ᦠ㙚⺖㔚ሶ࿑ᦠ㙚ࠣ࡞࡯ࡊ㐳ᵤਭ੗␭ሶᖱႎ࿑ᦠ㙚⺖⡯ຬ64 ࠪࠬ࠹ࡓߩ․ᓽ
T2R2 ࠪࠬ࠹ࡓߪ‫ޔ‬Tokyo Tech Research Repository ߩ㗡ᢥሼࠍߣߞߚ߽ߩߢ޽ࠅ‫ޔ‬ቇౝߩቇⴚ⺰ᢥ߿․⸵╬ߩᖱႎࠍዋߥ޿ഭജߢ෼㓸ߒ‫ޔ‬᭽‫↪ߥޘ‬ㅜߦ᦭ല೑↪ߔࠆߎߣࠍ⋡⊛ߣߒߡ޿ࠆ‫ߩ࠷ࡦ࠹ࡦࠦޔ߼ߚߩߎޕ‬లታߦਇนᰳߥ⎇ⓥ⠪⥄りߦࠃࠆ⛮⛯⊛ߥ౉ജߩଦㅴߔࠆࠃ߁ߦ‫౉ߌߛࠆ߈ߢޔ‬ജߩഭജࠍᷫࠄߔߎߣߦਥ⌒ࠍ⟎޿ߚ⫾ⓍⅣႺࠍឭଏߔࠆ‫ޕ‬ߐࠄߦ‫⎇ޔ‬ⓥ⠪߇౉ജߒߚߎߣߩࡔ࡝࠶࠻ࠍታᗵߢ߈ࠆࠃ߁ߦ‫⫾ޔ‬Ⓧߐࠇߚࠦࡦ࠹ࡦ࠷ߩ
ᄙ⋡⊛ߥ೑↪ⅣႺߩឭଏࠍⴕߞߡ޿ࠆ‫ޕ‬ߘߩߚ߼‫ޔ‬T2R2 ࠪࠬ࠹ࡓߪ‫ޔ‬ᖱႎࠍ౉ജߔࠆቇౝ⎇ⓥ⠪ߩ౉ജࠗࡦ࠲ࡈࠚ࡯ࠬߣ‫ޔ‬ቇᄖ߆ࠄ߽ࠕࠢ࠮ࠬน⢻ߥࠦࡦ࠹ࡦ࠷ߦኻߔࠆ㜞ᐲߥᬌ⚝ᯏ⢻ࠍឭଏߔࠆᬌ⚝ࠗࡦ࠲ࡈࠚ࡯
ࠬࠍᜬߟ‫౉ޕ‬ജࠗࡦ࠲ࡈࠚ࡯ࠬߪ‫ోޔ‬ቇ⹺⸽⹺นࠪࠬ࠹ࡓߣㅪ៤ߒߡ‫ޔ‬ICࠞ࡯࠼ࠍᜬߟ⎇ⓥ⠪߇⹺⸽ᓟߩ᧲Ꮏᄢࡐ࡯࠲࡞↹㕙߆ࠄ౉ࠅ‫⎇ߩߘޔ‬ⓥ⠪߇㑐ଥߔࠆ⺰ᢥߦ㑐ߔࠆᖱႎࠍ
౉ജ‫✬ޔ‬㓸‫ޔ‬೥㒰ߔࠆߎߣ߇ߢ߈ࠆࠃ߁ߦߥߞߡ޿ࠆ‫ޕ‬ᓥ᧪ߩ⎇ⓥ⠪ᖱႎࠪࠬ࠹ࡓߪ‫ޔ‬ฦ⎇ⓥ⠪ߦઃ㓐ߒߚᖱႎߣߒߡ⎇ⓥ⺰ᢥ╬ࠍ▤ℂߒߡ޿ߚߩߦኻߒ‫ޔ‬T2R2 ࠪࠬ࠹ࡓߪ୘‫ߩޘ‬⎇ⓥ⺰ᢥ╬ࠍਥ૕ߣߒߡ‫⎇ߦࠇߘޔ‬ⓥ⠪ࠍ㑐ㅪઃߌࠆߎߣߢ▤ℂߔࠆߎߣࠍ․ᓽߣߔࠆ‫ޕ‬ߟ߹ࠅ‫⺰ࠆ޽ޔ‬ᢥߩㅪฬ⠪߇ⶄᢙ޿ࠆ႐วߦ߽‫౉߇ੱ৻ޔ‬ജߔࠇ߫ࠃߊ‫ߩߤޔ‬ㅪฬ⠪߆ࠄ߽౉ജ‫ޔ‬ᄌᦝ╬߇น⢻ߢ‫౉ޔ‬ജࠦࠬ࠻ࠍ೥ᷫߔࠆߎߣ߇ߢ߈‫❱⚵ޔ‬න૏߿ࡊࡠࠫࠚࠢ࠻න
૏ߢ⺰ᢥࠍ㓸⸘ߔࠆߎߣ߇ߢ߈ࠆ‫ޔߦࠄߐޕ‬pdf ߩ⺰ᢥࠍࠕ࠶ࡊࡠ࡯࠼ߒߡ⸃ᨆߔࠆߎߣߢ‫ޔ‬⺰ᢥ㗴⋡߿⪺⠪ᖱႎࠍ᛽಴ߔࠆߎߣ߇น⢻ߢ޽ࠅ‫౉ޔ‬ജߩࠦࠬ࠻ࠍਅߍࠆߎߣߦ⽸₂ߒߡ޿ࠆ‫ޕ‬࿑ 3-3.2 ߦࠪࠬ࠹ࡓ೑↪ߩᵹࠇࠍ␜ߔ‫ޕ‬75

࿑ 3-3.2 T2R2 ࠪࠬ࠹ࡓߩ೑↪ߩᵹࠇ߹ߚ‫৻ޔ‬ᐲ౉ജߐࠇߚ⺰ᢥ╬ߩᖱႎࠍᄙ⋡⊛ߦ᦭ല೑↪ߔࠆߚ߼ߦ‫ޔ‬ᩰ⚊ߐࠇߚࠦࡦ࠹
ࡦ࠷߆ࠄ᛽಴ߒߚᦠ⹹ᖱႎ╬ࠍ‫౉ޔ‬ജߒߚ⎇ⓥ⠪⥄り߇૞ᚑߔࠆฦ⒳↳⺧ᦠ‫ޔ‬ႎ๔ᦠ╬ߦ೑↪ߢ߈ࠆ‫ޔ߼ߚߩߎޕ‬ᩰ⚊ߐࠇߚ⺰ᢥᖱႎߪ‫ޔ‬Web਄ߩHTMLᒻᑼߛߌߢߥߊCSV‫ޔ‬
BibTeX╬ߩ᭽‫ߥޘ‬ᒻᘒߩ಴ജࠍน⢻ߣߥߞߡ޿ࠆ‫⎇ޔߦࠄߐޕ‬ⓥ⠪⥄り߿ࡊࡠࠫࠚࠢ࠻ߩ
ࡎ࡯ࡓࡍ࡯ࠫ߆ࠄ⊓㍳ߐࠇߚቇⴚᖱႎࠍࠞࠬ࠲ࡑࠗ࠭ߒߡ⊒ାߢ߈ࠆࠃ߁ߦ‫ޔ‬Web ࠨ࡯ࡆࠬߦࠃࠆ࠺࡯࠲ឭଏࠍⴕߞߡ޿ࠆ‫ޔࠅࠃߦࠇߎޕ‬T2R2 ࠪࠬ࠹ࡓߩ⊓㍳ౝኈࠍᦝᣂߔࠆߛߌ
ߢ‫⎇ޔ‬ⓥ⠪⥄り߿ࡊࡠࠫࠚࠢ࠻ߩࡎ࡯ࡓࡍ࡯ࠫߩᬺ❣ᖱႎߩౝኈ߇⥄േ⊛ߦᦝᣂߐࠇࠆߣ
หᤨߦ‫ߦࠄࠇߘޔ‬ኻߔࠆ㜞ᐲߥᬌ⚝ᯏ⢻߽ឭଏߢ߈ࠆࠃ߁ߦߥࠆ‫ޕ‬࿑ 3-3.3 ߪ‫ޔ‬਄⸥ᯏ⢻ߦࠃࠅቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩోᢎຬߩᬺ❣ࠍᐕߏߣߦ߹ߣ߼ߡቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߩ
Web ࡍ࡯ࠫ߆ࠄ಴ജߒߚ଀ߢ޽ࠆ(http://www.gsic.titech.ac.jp/cgi-bin/publicationlist.cgi)‫ޕ‬࿑ 3-3.3 T2R2 ߩ Web ࠨ࡯ࡆࠬࠍ೑↪ߒߚ GSIC ᬺ❣࡝ࠬ࠻

7664 ࠪࠬ࠹ࡓᐔᚑ  ᐕᐲ㐿⊒㗄⋡ ᐔᚑ 20 ᐕᐲߪ‫ޔ‬ᓥ᧪߆ࠄߩࠪࠬ࠹ࡓߩ౉಴ജࠗࡦ࠲ࡈࠚ࡯ࠬߩᡷༀߦട߃‫࠷ࡦ࠹ࡦࠦޔ‬ߣߒߡ․⸵‫ޔ‬ඳ჻ቇ૏⺰ᢥࠍᛒ߁ߎߣࠍน⢻ߣߔࠆߣߣ߽ߦ‫ోޔ‬ᢥ౏㐿ߦ߅ߌࠆ⪺૞ᮭࠍ⠨ᘦߒߚ㐿␜೙ᓮᯏ⢻ࠍታ⃻ߒߚ‫ޔߚ߹ޕ‬OCW ߅ࠃ߮⎇ⓥ⠪ᖱႎࠪࠬ࠹ࡓߣߩ⋧੕࡝ࡦࠢࠍታ⃻ߒߚ‫ޕ‬એਅߦ‫ߩߘޔ‬ౝኈࠍ␜ߔ‫ޕ‬1)ᬺ❣࠺࡯࠲ߩᢛ஻࡮᜛లߩߚ߼ߦ‫↥ޔ‬ቇㅪ៤ᧄㇱ߇ឭଏߔࠆ․⸵࠺࡯࠲߅ࠃ߮㒝ዻ࿑ᦠ㙚ߩᜬߟඳ჻ቇ૏⺰ᢥ࠺࡯࠲ߩ⊓㍳ࠍⴕ߁ᯏ⢻ࠍታ⃻ߒ‫⊓ޔ‬㍳ࠍⴕߞߚ‫ޕ‬

2)․⸵‫ޔ‬ඳ჻ቇ૏⺰ᢥߩ․ᓽࠍ⠨ᘦߒ‫⺰⥸৻ޔ‬ᢥ‫ޔ‬ቇ૏⺰ᢥ‫ࠍ⸵․ޔ‬඙೎ߖߕߦᮮᢿ⊛ߦᬌ⚝ߢ߈ࠆᯏ⢻ߣ୘‫ߦޘ‬ᬌ⚝ࠍⴕ߁ᯏ⢻ࠍታ⃻ߒߚ㧔࿑ 3-3.4 ෳᾖ㧕‫ޕ‬3)ోᢥ౏㐿ᯏ⢻ߣߒߡ‫ోޔ‬ᢥࡈࠔࠗ࡞౏㐿Ꮧᦸࡈ࡜ࠣߩㅊട‫ޔ‬಴␠㧛⺰ᢥ⹹ᖱႎߩᢛ

஻‫▤ޔ‬ℂ⠪ߦࠃࠆ౏㐿น್ุቯᯏ⢻‫౏ޔ‬㐿⸵⻌ⷐઙࠍࠢ࡝ࠕߔࠆߚ߼ߩࠞࡃ࡯ࡍ࡯ࠫ
⥄േ↢ᚑᯏ⢻ߩ㐿⊒ࠍⴕߞߚ‫ޕ‬
4)ᖱႎ⊒ାᯏ⢻ߩᒝൻߣߒߡ‫ޔ‬ᄖㇱ౏㐿ࡍ࡯ࠫߦ߅ߌࠆᬺ❣⴫␜㗅ᐨߩᜰቯᯏ⢻‫ޔ‬ᄖㇱ౏㐿ࡍ࡯ࠫߦ߅ߌࠆ⎇ⓥ⠪㒰ᴺࠪࠬ࠹ࡓ㧛OCW ߳ߩ࡝ࡦࠢࠍㅊടߒߚ‫ޕ‬5)ౝㇱ⊓㍳ࡍ࡯ࠫߦ߅ߌࠆ⊓㍳ᣣᤨ߅ࠃ߮ᐕᐲ߆ࠄߩᬌ⚝ࠍዉ౉ߒߚ‫ޕ‬

6)࠺࡯࠲౉ജᡰេᯏ⢻ߩᒝൻߣߒߡ‫ޔ‬ౝㇱ⊓㍳ࡍ࡯ࠫߦ߅ߌࠆ৻ⷩ⴫␜ᯏ⢻ߩᡷༀ‫⊒ޔ‬
⴫⒳೎ߦ‫ߩޠߒߥ⴫⊒ޟ‬㗄⋡ࠍᣂ⸳‫ޔ‬ᢎຬ✚ⷩឝタᤨߩᦠᑼࠗࡔ࡯ࠫ⴫␜ᯏ⢻‫ޔ‬‫ޟ‬ᚯࠆ‫ޠ‬ࡏ࠲ࡦ᛼ਅᤨߩ⴫␜૏⟎ߩ⺞ᢛ‫౉ޔ‬ജ࠴ࠚ࠶ࠢᯏ⢻ߩᒝൻ╬ࠍᣂߚߦ㐿⊒ߒߚ‫ޕ‬7)࠺࡯࠲಴ജᯏ⢻ߩᒝൻߩߚ߼ߦ‫ޔ‬ᐔᚑ 20 ᐕᐲᦠᑼߦኻᔕߒߚ⑼ቇ⎇ⓥ⾌↳⺧ᦠ࡮ႎ๔ᦠߩ಴ജ‫⎇ޔ‬ⓥ⠪㧛⚵❱න૏ߩᬺ❣৻ⷩ↢ᚑ㧛಴ജᯏ⢻‫ޔ‬ౝㇱ⊓㍳ࡍ࡯ࠫߦ߅ߌࠆࡈࠔ
ࠗ࡞಴ജᯏ⢻ߩㅊട╬ࠍⴕߞߚ‫ޕ‬8)ࠨ࡯ࡃ᭴ᚑߩᄌᦝߣ౉ᦧߣߒߡ‫ޔ‬Web ࠨ࡯ࡃࠍቇౝ࡮ቇᄖ೎ߦಽ㔌‫ޔ‬ቇౝᄖߩ Web ࠨ࡯
ࡃ࡮RDB ࠨ࡯ࡃߩᦝᣂࠍⴕߞߚ‫ޕ‬

࿑ 3-3.4 ⺰ᢥ࡮․⸵ᮮᢿ⊛⎇ⓥᬺ❣ᬌ⚝ᯏ⢻7764 ࠪࠬ࠹ࡓߩ೑↪⁁ᴫ
1)✚⊓㍳ઙᢙ㧔2009.3.30 ⃻࿷㧕a)ࡔ࠲࠺࡯࠲⊓㍳ᢙ
㧔2009.3.30 ⃻࿷㧕㧔2008.3.10 ᤨὐ㧕

20 ᐕᐲ⊓㍳ቇⴚ⺰ᢥ26,78722,9603,827৻⥸㔀⹹⺰ᢥ

3,464

2,879

585

ળ⼏⊒⴫⺰ᢥ

36,21529,534

6,681

⪺ᦠ

2,771

2,291

480

࠹ࠢ࠾ࠞ࡞࡟ࡐ࡯࠻

78

26

52

⎇ⓥႎ๔

916

819

97

ቇ૏⺰ᢥ

111

12

99

ࡊ࡟ࡊ࡝ࡦ࠻

7

2

5࠰ࡈ࠻࠙ࠚࠕ

6

5

1

84,816

86,073-1,257**

155,171

144,601

10,570

ߘߩઁ*
⸘
 
b)
 
2)

*ᬺ❣⒳೎ਇ᣿

**ᬺ❣⒳೎߇್᣿ߒߚ߽ߩ

ᧄᢥ࠺࡯࠲⊓㍳ᢙ
934 ઙ(ᐔᚑ 20 ᐕᐲ 715 ઙ)⊓㍳ઙᢙߩផ⒖

࿑ 3-3.5 ࡔ࠲࠺࡯࠲߅ࠃ߮ᧄᢥ࠺࡯࠲ߩ⊓㍳ઙᢙߩផ⒖
78

3)

4)

5)

㨀㧞㧾㧞ࠪࠬ࠹ࡓ߳ߩࠕࠢ࠮ࠬᢙ㧔ࠪࠬ࠹ࡓᡷୃᓟ 2007.8.31㨪2009.3.30㧕
ᄖㇱ౏㐿ࡍ࡯ࠫ࠻࠶ࡊ

29,239 ઙᄖㇱ౏㐿ࡍ࡯ࠫᬺ❣⹦⚦↹㕙

106,668 ઙౝㇱ⊓㍳ࡍ࡯ࠫ

375,609 ઙ↳⺧⠪ᢙ㧔2007.8.31㨪2009.3.30㧕
a)⎇ⓥ⠪: 27 ฬb)౉ജઍⴕੱ: 130 ฬ

T2R2 ࠪࠬ࠹ࡓ⺑᣿ળෳട⠪a)╙ 1 ࿁㧔2008.8.11㧕㧦62 ฬ㧔ᢎຬ 15 㒮↢ 10 ᛛⴚ

1 ੐ോ 29 ߘߩઁ 7㧕b)╙ 2 ࿁㧔2008.8.20㧕㧦67 ฬ㧔ᢎຬ 29 㒮↢

7 ᛛⴚ

0 ੐ോ 28 ߘߩઁ 3㧕c)╙ 3 ࿁㧔2008.9.29㧕㧦44 ฬ㧔ᢎຬ 17 㒮↢

6 ᛛⴚ

0 ੐ോ 12 ߘߩઁ 9㧕64 ࠪࠬ࠹ࡓߩ੹ᓟߩᣇ㊎ ⊓㍳ࠦࡦ࠹ࡦ࠷ߣᬌ⚝ᯏ⢻ߩ᜛లࠍ⋡ᜰߔ‫⎇ޔߦ․ޕ‬ⓥ⠪ᖱႎࠪࠬ࠹ࡓߦ⫾Ⓧߐࠇߡ޿ࠆᖱႎ߿ OCW ߦ⫾Ⓧߐࠇߡ޿ࠆᖱႎߣߣ߽ߦਠೝߒ⊛ߦᬌ⚝ߢ߈ࠆᯏ⢻߿‫ߦࠄߐޔ‬㜞ᐲߥᬌ⚝ᯏ⢻ߦ㑐ߒߡᬌ⸛ࠍⴕ߁‫⎇߿࠻࡯ࡐ࡟࡞ࠞ࠾ࠢ࠹ޔߚ߹ޕ‬ⓥࠕࡇ࡯࡞ᖱႎߩ⫾Ⓧߦ
ߟ޿ߡ߽ᬌ⸛ߔࠆ‫⁁ࠬ࠮ࠢࠕޔߦࠄߐޕ‬ᴫ߿ోᢥࡈࠔࠗ࡞ߩ࠳࠙ࡦࡠ࡯࠼ಽᨆ╬ࠍⴕߞߡ⎇ⓥ⠪ߦലᨐ⊛ߦࡈࠖ࡯࠼ࡃ࠶ࠢߔࠆᣇᴺߦ㑐ߒߡ߽ᬌ⸛ࠍⴕ߁‫ޕ‬79࿖㓙ද௛

 657$#/' ࠍ೑↪ߔࠆ࿖㓙౒ห⎇ⓥଦㅴࡈࠜ࡯࡜ࡓ

ᐔᚑ 20 ᐕ 12 ᦬ 24 ᣣ㧔᳓㧕10:30㨪12:00
ᄢጟጊ⷏ 9 ภ㙚 2 㓏ࠦ࡜ࡏ࡟࡯࡚ࠪࡦ࡞࡯ࡓ
TSUBAME ࠍ૶↪ߔࠆ࿖㓙౒ห⎇ⓥߦ㑐ߔࠆ↳⺧ᣇᴺ㧘೑↪ⷙቯ㧘MOU/ Agreement✦⚿ᚻ⛯߈㧘ࠕࠞ࠙ࡦ࠻ขᓧ㧘⺖㊄೙ᐲ㧘ᵈᗧ੐㗄ߥߤߦߟ޿ߡ㧘ቇౝߩ TSUBAME ೑↪
⠪ࠍኻ⽎ߦ࿖㓙౒ห⎇ⓥࠍଦㅴߔࠆ⴫⸥ࡈࠜ࡯࡜ࡓ߇㐿௅ߐࠇߚ‫ޕ‬⷏ේ೽࠮ࡦ࠲࡯㐳߆ࠄ⚻✲ߩ⺑᣿ᓟ‫᧻ޔ‬ጟᢎ᝼߇‫ޟ‬GPU ࠕࠢ࠮࡜࡟࡯࠻ߐࠇߚ
TSUBAME1.2 ߩ᭎ⷐ‫ ߢ࡞࠻ࠗ࠲߁޿ߣޠ‬TSUBAME ߦߟ޿ߡߩ⺑᣿ߣ⎇ⓥᚑᨐࠍ⚫੺‫ޕ‬㕍ᧁᢎ᝼߆ࠄߪ TSUBAME ߩᄖㇱ೑↪೙ᐲߦߟ޿ߡߩ᭎⇛ߣ TSUBAME ࠍ૶↪ߔࠆ࿖㓙౒ห⎇ⓥߦߟ޿ߡߩ⺑᣿߇޽ߞߚ‫ߩߘޕ‬ᓟ‫ࡦࡐ࡜ࠖ࠹ޔ‬ಎᢎ᝼ࠃࠅ࠲ࠗ࿖࠴ࡘ࡜ࡠࡦࠦࡦ
ᄢቇߩౕ૕଀ߩ⚫੺߇޽ࠅ‫ޔ‬TV ળ⼏ࠍ↪޿ߡ࠲ࠗ࿖࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߩ࿯ᧁᎿቇ⑼ߩ
Anat ಎᢎ᝼߅ࠃ߮ࠦࡦࡇࡘ࡯࠲Ꮏቇ⑼ߩ Veera ಎᢎ᝼ࠄ߇ታ㓙ߦ TSUBAME ࠍ೑↪ߒߚ౒ห⎇ⓥߩ೑ὐ࡮ᚑᨐ╬ߦߟ޿ߡ⻠Ṷߒߚ‫ᦨޕ‬ᓟߦ‫ޔ‬ᅏ㊁ᢎ᝼ߩઍℂߣߒߡ㕍ᧁᢎ᝼߆ࠄ
ࠗ࠲࡝ࠕ Inter-University Consortium ߩౕ૕଀ߦߟ޿ߡ‫⎇ޔ‬ⓥ᭎ⷐ߅ࠃ߮⎇ⓥ⚿ᨐ߇⺑᣿ߐࠇߚ‫ޕ‬
ᧄࡈࠜ࡯࡜ࡓߪ‫ޔ‬GSIC Newsletter ߢ TSUBAME ߩ࡙࡯ࠩߦࠕ࠽࠙ࡦࠬߒ‫⻠ޔ‬Ṷ⠪ࠍ฽߼ߚෳട⠪ੱᢙߪ 14 ฬߢ޽ߞߚ‫੹ޕ‬ᓟߩࠪ࡝࡯࠭ൻߦߟ޿ߡᬌ⸛ߔࠆ੍ቯߢ޽ࠆ‫ޕ‬᧻ጟᢎ᝼ߦࠃࠆ TSUBAME ߩ᭎ⷐ⺑᣿TV ળ⼏ࠍ↪޿ߡ౒ห⎇ⓥ⠪߽ෳട㈩Ꮣ⾗ᢱ࡝ࠬ࠻
࡮ TSUBAME ࠍ૶↪ߒߚ࿖㓙౒ห⎇ⓥߩࠟࠗ࠼࡜ࠗࡦ
࡮ TSUBAME ࠍ૶↪ߒߚ࿖㓙౒ห⎇ⓥߩ Agreement ࠹ࡦࡊ࡟࡯࠻
࡮ TSUBAME ߩ೑↪ᢱ㊄࡮ ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯⸘▚ᯏࠪࠬ࠹ࡓㆇ↪ⷙቯ࡮ వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ

80࿖㓙౒ห⎇ⓥ#+6 #UKCP+PUVKVWVGQHVGEJPQNQI[ ߣߩ࿖㓙੤ᵹදቯߦၮߠߊ౒ห⎇ⓥቇⴚ࿖㓙੤ᵹㇱ㐷 ࿖㓙౒ห⎇ⓥಽ㊁  㕍ᧁ ዅਯ2005 ᐕ 12 ᦬ߦ✦⚿ߒߚ GSIC ߣ AIT ߩ SET(School of Engineering and Technology) ߩ੤㓙੤ᵹදቯߦၮߠ߈‫⋧ޔ‬੕ߦ⸰໧ߒ౒ห⎇ⓥߩౝኈࠍㆀⴕߒߚ‫ߦ․ޕ‬ᐔᚑ 20 ᐕᐲߪ
GPU(Graphics Processing Unit)ߦࠃࠆᢳ㕙ἴኂߩࠪࡒࡘ࡟࡯࡚ࠪࡦߩ㜞ㅦൻ‫࠮࠻࡯ࡕ࡝ޔ‬ࡦࠪࡦࠣߩ↹௝࠺࡯࠲ಣℂߩ㜞ㅦൻࠍᬌ⸛ߒ‫ߩࡓ࠭࡝ࠧ࡞ࠕߩߘޔ‬ᬌ⸽ࠍⴕߞߚ‫ޕ‬GPU ߩ೑↪ߦߟ޿ߡߩ⻠⠌ળࠍ AIT ߢ㐿௅ߒߚࠅ‫ޔ‬GPU ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߩⅣႺࠍ᭴▽ߒߚ‫ޕ‬GPU න૕ߢߩᬌ⸽ߪࡂ࡯࠼࠙ࠚࠕ߇቟ଔߥߚ߼Ყセ⊛ኈᤃߢ޽ࠆ߇‫ⶄޔ‬ᢙߢߩಣℂߪTSUBAME ߩ೑↪ࠍᬌ⸛ߔࠆߎߣߢวᗧߒߚ‫ޔߚ߹ޕ‬AIT ߇ਛᔃߣߥߞߡ㐿௅ߒߚ⥄ὼἴኂߩ࿖㓙ળ⼏ߦ߅޿ߡၮ⺞⻠Ṷࠍⴕ޿‫౒ޔ‬ห⎇ⓥߩᨒ⚵ߺࠍᐢߊ⹺⍮ߐߖࠆߎߣ߇ߢ߈ߚ‫ޕ‬ቇ↢ߩ੤ᵹߦߟ޿ߡ߽ᗧ⷗੤឵ࠍⴕߞߚ‫ޕ‬࿖㓙ᯏ㑐 70'5%1 ߅ࠃ߮࡜ࠝࠬ᡽ᐭߣߩ౒ห⎇ⓥቇⴚ࿖㓙੤ᵹㇱ㐷 ࿖㓙౒ห⎇ⓥಽ㊁  ጊญ ߒߩ߱

UNESCO ਎⇇ᢥൻㆮ↥࠮ࡦ࠲࡯‫ࠬࠝ࡜ޔ‬᡽ᐭ‫᧲ޔ‬੩Ꮏᬺᄢቇߣߩਃ⠪㑆 MOU ߦၮߠ߈‫ޔ‬਎⇇ㆮ↥଻⼔࿾ၞࠍᩭߣߒߚ๟ㄝ࿾ၞࠍ฽߼ߚᜬ⛯น⢻ߥ㐿⊒ࠍଦㅴߔࠆߚ߼ߦ‫ޔ‬ᖱႎㅢାᛛⴚߩዉ౉ߦ㑐ߔࠆ౒ห⎇ⓥࠍታᣉ‫ޕ‬ᄢቇ㒮ℂᎿቇ⎇ⓥ⑼࿖㓙㐿⊒Ꮏቇኾ᡹ߩ㜞↰Ả৻⎇ⓥቶߣߩㅪ៤ߩ߽ߣ‫ޔ‬2006 ᐕߦ⸳┙ߐࠇߚ ICT ࠮ࡦ࠲࡯ㆇ↪ߦ㑐ߔࠆലᨐಽᨆࠍㅢߓ‫ޔ‬
ㆇ↪ᴺߩ⷗⋥ߒࠍㅴ߼ߚ‫ޕ‬หᤨߦ‫⃻ޔ‬࿾᡽ᐭߦ߅ߌࠆ GIS ዉ౉ߦ㑐ߔࠆࡈࠖ࡯ࠫࡆ࡝࠹ࠖ࡯
⺞ᩏ߇ⴕߥࠊࠇߚ‫⚿ޕ‬ᨐߦၮߠ߈↸ਗߺ଻ሽߣ㆑ᴺᑪㅧ‛ߩ⃻⁁ಽᨆ߅ࠃ߮࿾ၞ㐿⊒᡽╷
߳ߩ GIS ᵴ↪ࠍㅴ߼ࠆ౒ห࠴࡯ࡓࠍ✬ᚑߒ‫࠲࡯࠺ޔ‬෼㓸ࠍㅴ߼ߚ‫⃻ޕ‬࿾ੱ᧚⢒ᚑߩ৻Ⅳߣߒߡ‫ޔ‬authorization database ᭴▽ߦ㑐ߔࠆ⃻࿾࠻࡟࡯࠾ࡦࠣࠍⴕ޿‫ޔ‬FOSS ࠍᵴ↪ߒߚ⎇ୃࠍ㓸ਛ⊛ߦታᣉߒߚ‫ޕ‬GIS ዉ౉ߦ㑐ߔࠆ౒ห⎇ⓥߩ⚿ᨐߪ‫ޔ‬World Congress of Heritage
Cities ෸߮‫ޔ‬International Society of City and Regional Planners ߥߤߩ࿖㓙ળ⼏ߦߡ⊒
⴫‫ޕ‬




81

࠲ࠗ࿖࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߣߩ࿖㓙౒ห⎇ⓥቇⴚ࿖㓙੤ᵹㇱ㐷 ࡇࡄ࠶࠻ࡐࡦࠨ࡯࡮࠹ࠖ࡜ࡐࡦ 㕍ᧁ ዅਯᧄ౒ห⎇ⓥߪ 2007 ᐕ 11 ᦬ 16 ᣣߦ TSUBAME ࠍ೑↪ߒߚ࿖㓙౒ห⎇ⓥ Agreement ✦⚿ߦၮߠߊ߽ߩߢ޽ࠆ‫ࡓࠗ࠲࡞ࠕ࡝ޕ‬ᵤᵄࠪࡒࡘ࡟࡯࡚ࠪࡦ㜞ㅦൻᛛⴚࠍ⋡ᜰߒ‫⋧ޔ‬ᚻᣇߩ PC ࠢ࡜ࠬ࠲࡯ߢਗ೉ൻߒߚᵤᵄ⸃ᨆࡊࡠࠣ࡜ࡓࠍ᧲Ꮏᄢߩ TSUBAME ߢታⴕߒ‫ޔ‬
TSUBAME ߢߩ⸘▚ല₸ߩᬌ⸽߅ࠃ߮ਗ೉ൻᕈ⢻ࠍ⺞ߴ‫ޔ‬ᄢⷙᮨ⸘▚ߦะߌߡ࠴ࡘ࡯࠾ࡦ
ࠣࠍⴕ߁ߎߣࠍ⋡ᜰߔ‫ޕ‬⎇ⓥ㐿⊒ߪᤓᐕߦᒁ߈⛯߈ታᣉߐࠇ㧘ਅ⸥ߩㅢࠅ⎇ⓥᚑᨐࠍࡔ࠺ࠖࠕ㧘ࡈࠜ࡯࡜ࡓ㧘⎇ⓥ⊒⴫㧘⺰ᢥߥߤߢ౏㐿ߒߚ‫ޕ‬࡮ ࠹࡟ࡆ㧦࠲ࠗ࿖࠴ࡖࡦࡀ࡞㧥࠾ࡘ࡯ࠬߦߡ㧘࠴ࡘ࡜ࡠࡦࠦࡦᄢቇ߇ᵤᵄ⼊ႎࠪࠬ࠹ࡓ
ࠍ᭴▽ߒ㧘ᵤᵄἴኂ੍᷹⸘▚ߩᤨ㑆ࠍ⍴❗ߐߖࠆߚ߼㧘᧲੩Ꮏᬺᄢቇ߅ࠃ߮ Thai
National Grid Center ߣߩㅪ៤ߦၮߠ޿ߡ, 㜞ᕈ⢻ࠦࡦࡇࡘ࡯࠲ߢᵤᵄ⼊ႎࠪࠬ࠹ࡓ
㐿⊒ࠍㅴ߼ߡ޿ࠆߣႎ㆏‫ޕ‬㧔ᐔᚑ 20 ᐕ 6 ᦬ 21 ᣣ 19㧦30㨪19㧦32 ࠾ࡘ࡯ࠬ᡼ㅍ㧕࡮ ᣂ⡞㧦࠲ࠗ࿖࿾రᣂ⡞ Bangkok Biz News ߩ Scitech ߦࠃࠆߣ㧘࠴ࡘ࡜ࡠࡦࠦࡦᄢቇ
߇࿾㔡ߦࠃߞߡᒁ߈⿠ߎߐࠇࠆᵤᵄ੍᷹ࠍᶏጯ✢೔⌕೨ 40 ಽ㑆ߢಽᨆߢ߈ࠆἴኂ⼊ႎࠪࠬ࠹ࡓ㐿⊒ߦᚑഞ‫ޕ‬㜞ᕈ⢻ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࡑࠪࡦߪ‫ޔ‬ThaiGrid‫ޔ‬෸߮᧲੩Ꮏᬺ
ᄢቇߣߩㅪ៤ߩਅ TSUBAME ࠍ૶↪ߣ⺆ߞߚ‫ޕ‬㧔ᐔᚑ 20 ᐕ 6 ᦬ 12 ᣣ 9 ࡍ࡯ࠫ㧕࡮ ࡈࠜ࡯࡜ࡓ㧦࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߩౕ૕଀㧔TV ળ⼏ෳട㧕㧘╙㧝࿁ TSUBAME ࠍ೑↪
ߔࠆ࿖㓙౒ห⎇ⓥଦㅴࡈࠜ࡯࡜ࡓ㧔ᐔᚑ 20 ᐕ 12 ᦬ 24 ᣣ㧕࡮ ⎇ⓥ⊒⴫࡮⺰ᢥ╬㧦ᒰ⹥⺰ᢥߦ TSUBAME ૶↪⸵⻌ߦߟ޿ߡ᧲੩Ꮏᬺᄢቇ߳ߩ⻢ㄉ߹ߚ㧘ᐔᚑ 21 ᐕ 1 ᦬ 28 ᣣߦ㕍ᧁᢎ᝼߇࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߦ߅޿ߡ GPGPU ߦࠃࠆ࡝ࠕ࡞࠲ࠗࡓߩᵤᵄࠪࡒࡘ࡟࡯࡚ࠪࡦߩ㜞ㅦ⸘▚ㆡ↪ᕈߦ㑐ߔࠆ⺑᣿ࠍⴕߞߚ‫ޕ‬ᐔᚑ 21 ᐕ 3
᦬ 23 ᣣߦ࠲ࠗ࿖ኅἴኂ⼊๔࠮ࡦ࠲࡯㧔NDWC㧕߇ TSUBAME ࠍ⷗ቇߒ㧘੹ᓟߩᦝߥࠆද
ജ૕೙ߦߟ޿ߡ NDWC ஥ߣ⺞ᢛਛ‫ޕ‬㗔ၞಽഀ࿑ߣࡔ࠶࠮࡯ࠫㅢାࠬࠠ࡯ࡓ

࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߢ㕍ᧁᢎ᝼߆ࠄGPGPU ߦߟ޿ߡߩ⺑᣿

82࿖㓙౒ห⎇ⓥࡢ࡯࡚ࠢࠪ࠶ࡊ
࿖㓙ᯏ㑐 70'5%1‫࡞ࠧࡦࡕޔ‬ᢎ⢒⑼ቇᛛⴚ⋭ߣߩ౒หࡢ࡯࡚ࠢࠪ࠶ࡊ
ቇⴚ࿖㓙੤ᵹㇱ㐷 ࿖㓙౒ห⎇ⓥಽ㊁  ጊญ ߒߩ߱ࡕࡦࠧ࡞௼࿾ߦ߅ߌࠆ࿾ᣇᢎ⢒ⴕ᡽ቭ߅ࠃ߮ቇᩞ㐳߳ߩ⎇ୃታᣉߦ߅ߌࠆ࠾࡯࠭ࠕ࠮ࠬࡔ
ࡦ࠻ࠍ࿖ㅪᢎ⢒⑼ቇᢥൻᯏ㑐߅ࠃ߮‫࡞ࠧࡦࡕޔ‬ᢎ⢒⑼ቇᛛⴚ⋭ߣ౒หߢታᣉ‫ޕ‬2008 ᐕ 7 ᦬
߆ࠄ 12 ᦬ߦ߆ߌߡ㧔3 ࿁ߩ⃻࿾⸰໧ࠍ฽߻㧕‫ోޔ‬࿖ 6 ⋵‫ޔ‬3 ㇺᏒߦ߅ߌࠆ 250 ᩞࠍኻ⽎ߦ⺞ᩏࠍⴕߥߞߚ‫⺞ޕ‬ᩏኻ⽎ߪਛᄩ࡮࿾ᣇᢎ⢒ⴕ᡽ቭ‫ޔ‬ቇᩞ㐳‫ޔ‬ᢎᏧ‫ߤߥޔ‬ᐢ▸࿐ߦࠊߚࠅో
࿖ߩ 30㧑ߦ޽ߚࠆ⋵ᐡ෸߮ቇᩞࠍ✂⟜‫ޕ‬ᜬ⛯น⢻ߥ⎇ୃߦᔅⷐߥ㆙㓒ᢎ᧚૞ᚑߦ߆߆ࠆࠗ
ࡦࡈ࡜ᢛ஻‫ޔ‬ታᣉน⢻ᕈ‫ޔ‬ല₸ᕈߥߤᄙᣇ㕙߆ࠄߩಽᨆࠍታᣉ‫⺞ޕ‬ᩏᴺ‫⺞ޔ‬ᩏታᣉ‫ޔ‬෸߮࠺࡯࠲ಽᨆߦ㑐ߒߡ⃻࿾ࡢ࡯࡚ࠢࠪ࠶ࡊࠍ㐿௅ߒߚ㧔8 ᦬‫ޔ‬10 ᦬‫ޔ‬12 ᦬㧕‫࡞ࠧࡦࡕޕ‬ᢎ⢒⑼ቇᛛⴚ⋭‫ޔ‬UNESCO ࡕࡦࠧ࡞੐ോᚲ‫࡞ࠧࡦࡕޔ‬࿖┙ᄢቇ‫࡞ࠧࡦࡕޔ‬ᢎ⢒ᄢቇ‫⃻߮ࠃ߅ޔ‬࿾ NGO࡮Mongolia Education Alliance ߩઍ⴫߇ࡢ࡯࡚ࠢࠪ࠶ࡊ෸߮⃻࿾⺞ᩏߦෳട‫ޕ‬หᤨㅢ⸶ࠍ੺ߒߡࡢ࡯࡚ࠢࠪ࠶ࡊߪታᣉߐࠇߚ‫⺞ޕ‬ᩏ⚿ᨐߪ‫ޔ‬UNESCO e-publication ߣߒߡ UNESCO Portal ߦ౏⴫‫ޕ‬Comparative and International Educational Society㧔☨࿖࡮࠴ࡖ࡯࡞ࠬ࠻ࡦ㧕ߦߡࡕࡦࠧ࡞᡽ᐭߣ౒ห⊒⴫‫੹ ޕ‬ᓟ‫⺞ᧄޔ‬ᩏ⚿ᨐߦၮߠ߈‫ޔ‬࿖㓙⎇ୃࡊࡠࠣ࡜ࡓߩ᭴▽‫ߩࡓ࡜ࠣࡠࡊୃ⎇ޔ‬ታᣉ߇ⴕߥࠊࠇࠆ੍ቯ‫ޕ‬ ᶏᄖ᜚ὐࠍᵴ↪ߒߚ࿖㓙੤ᵹᵴേℂᢙቇ↢ᔕេࡊࡠࠫࠚࠢ࠻ߦࠃࠆ࠲ࠗ⸰໧
ቇⴚ࿖㓙੤ᵹㇱ㐷 ࡇࡄ࠶࠻ࡐࡦࠨ࡯࡮࠹ࠖ࡜ࡐࡦ

ᐔᚑ 20 ᐕ 8 ᦬ 26 ᣣ㨪9 ᦬ 4 ᣣ㧔8 ᣣ㑆㧕ߦ߆ߌߡᧄቇቇ↢ 7 ฬࠍ࠲ࠗ߳ᒁ₸ߒ㧘ᄢቇ 3 ࡩᚲ,⎇ⓥᚲ,Ꮏ႐ 4 ࡩᚲ,᡽ᐭᯏ㑐 2 ࡩᚲ,ᢥൻ㨯ᱧผ࿾ၞ 2 ࡩᚲࠍ⷗ቇ‫ޕ‬ቇ↢ߪ㧘᭽‫ߥޘ‬໧㗴ߦߟ޿ߡߩ⃻࿾ߩ⠨߃ᣇߣ㧘ߘࠇߦኻߔࠆኻ╷ࠍᛠីߒ㧘࠲ࠗߩቇ↢ߣߩ੤ᵹࠍㅢߓ㧘⥄ಽߩᗧ⷗ࠍ⧷⺆ߢㅀߴࠆߎߣ߇ߢ߈ߚ‫ޕ‬GSIC ߪઁㇱዪߣߩㅪ៤ߦၮߠ޿ߡ㧘ᧄቇߩ‫ޟ‬ℂᎿ♽ቇ↢⢻ജ⊒⷗࡮㐿⊒ࡊࡠࠫࠚࠢ࠻‫৻ߩޠ‬ㇱߦදജߒߚ‫ޕ‬





83

 ᐕ࠲ࠗ࡮ᣣ࿖㓙ቇⴚ੤ᵹળ⼏ߩᡰេቇⴚ࿖㓙੤ᵹㇱ㐷 ࡇࡄ࠶࠻ࡐࡦࠨ࡯࡮࠹ࠖ࡜ࡐࡦ
 ᧄⴕ੐ߪ㧘ᐔᚑ 20 ᐕ 11 ᦬ 21 ᣣߦ࿷ᣣ࠲ࠗ⇐ቇ↢දળ߇ਥ௅‫ᧄޕ‬ቇߪᓟេߩ┙႐߆ࠄ㧘ᢙᄙߊߩᢎຬ߇⻁໧ᆔຬߣߒߡෳ↹ߩ਄㧘࠲ࠗ᜚ὐ㐳߇ TAIST-Tokyo Tech ߦ㑐ߒߡၮ⺞⻠Ṷࠍⴕߥߞߚ‫ߚ߹ޕ‬㧘⥄ὼ⑼ቇ࠮࠶࡚ࠪࡦߩ᜗ᓙ⻠Ṷߣߒ㧘ᧄቇߣ࠲ࠗᄢቇ㑆ߩ㆙㓒⻠⟵㈩ା੐ᬺ߅ࠃ߮ᤓᐕߦ㐿ᆎߐࠇߚ ICT ࠦ࡯ࠬࠍ⚫੺ߒߚ‫ᧄޕ‬ቇߩ࠲ࠗ᜚ὐᵴേࠍ࠲ࠗ⇐ቇ↢ߦᐢႎߔࠆߚ߼㧘TAIST-Tokyo Tech ߩᵴേ߅ࠃ߮࠲ࠗߢߩ⷗ቇᵴേߩዷ␜ࡄࡀ࡞ࠍ಴ዷ
ߒߚ‫ޕ‬



 ࠲ࠗᦨᄢ὇㋶ߩ⃻႐⺞ᩏቇⴚ࿖㓙੤ᵹㇱ㐷 ࡇࡄ࠶࠻ࡐࡦࠨ࡯࡮࠹ࠖ࡜ࡐࡦ

ᐔᚑ 21 ᐕ 3 ᦬ 16㨪18 ᣣߦ㧘ࠞ࠮࠻ࠨ࡯࠻ᄢቇߣ࠴ࠚࡦࡑࠗᄢቇߣߣ߽ߦ࠲ࠗർㇱࠍਛᔃߦಽᏓߒߡ޿ࠆⶊ὇ߩ὇↰ߩ⺞ᩏࠍታᣉߒߚ‫ࠗ࠲ޕ‬㔚ജ౏␠㧔EGAT㧕ߩᚲ᦭ߔࠆࡔࡕ὇
㋶ߢߪ㧘ᐕ↥ 1,500 ਁ࠻ࡦ⒟ᐲߣో࿖↢↥㊂ߩ 70%એ਄ࠍභ߼ߡ޿ࠆᦨᄢ↢↥᜚ὐߢ޽ࠆ‫ޕ‬࿾⾰᧦ઙߩ਄㧘㔺ᄤၳࠅߦࠃߞߡណជߐࠇߡ޿ࠆ߇㧘 300m એ਄ࠍᷓߊណជߔࠆ㓙ߦᢙ୯ࠪࡒࡘ࡟࡯࡚ࠪࡦߩᛛⴚ߇ᔅⷐߢ޽ࠆߚ߼㧘੹ᓟߪ㧘⃻࿾ᄢቇߣߩ౒ห⎇ⓥࠍㅴ߼ࠆᣇ㊎ߢ޽ࠆ‫ޕ‬

84ࠗࡌࡦ࠻෸߮໪⫥ᵴേ ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ਥ௅࠮ࡒ࠽࡯

)5+% ࠮ࡒ࠽࡯ 0Q‫ ࠬࡄࡦࡖࠠޟ‬+%6 ⛔วⅣႺߩ⹜ߺ㧙2-+࡮+% ࠞ࡯࠼ߣ࠰ࡈ࠻࠙ࠚࠕ൮᜝ᄾ⚂㧙‫ޠ‬ Σ㧚࠲ࠗ࠻࡞ 㧦ࠠࡖࡦࡄࠬ ICT ⛔วⅣႺߩ⹜ߺ 㧙PKI࡮IC ࠞ࡯࠼ߣ࠰ࡈ࠻࠙ࠚࠕ൮᜝ᄾ⚂㧙 Τ㧚⻠Ꮷ   㧦࡮᧲ᎿᄢߩࠠࡖࡦࡄࠬICT⛔วⅣႺߩၮᧄᣇ㊎ߣታᣉ⁁ᴫ᧲੩Ꮏᬺᄢቇ GSIC࠮ࡦ࠲࡯㐳 ᷰㄝᴦ࡮ICࠞ࡯࠼‫ߩࡓ࠹ࠬࠪ⸽⹺ޔ‬᭴ᚑߣ࠺ࡕ
᧲੩Ꮏᬺᄢቇ ᛛⴚ⡯ຬ ᣂ㉿ථผ࡮࠰ࡈ࠻࠙ࠚࠕ㈩Ꮣᯏ᭴ߩ᭴ᚑߣ࠺ࡕ
᧲੩Ꮏᬺᄢቇ ᛛⴚ⡯ຬ ቟⦟ጟ↱ⷙ࡮ࠠࡖࡦࡄࠬICT⛔วⅣႺ᭴▽ߩࡐࠗࡦ࠻ߣߐߓടᷫ
᧲੩Ꮏᬺᄢቇ GSIC ಎᢎ᝼ 㘵↰ൎศ࡮⻠Ṷ‫ޟ‬ICࠞ࡯࠼/PKI⹺⸽ࠍᵴ↪ߒߚ࠮ࠠࡘ࡝࠹ࠖ
࠰࡝ࡘ࡯࡚ࠪࡦߩߏ⚫੺‫ޠ‬   NTTࠦࡒࡘ࠾ࠤ࡯࡚ࠪࡦ࠭ᩣᑼળ␠
㊄Ⲣࠗࡁࡌ࡯࡚ࠪࡦࠪࠬ࠹ࡓㇱ Ꮉญ᡽ᐘ࡮⻠Ṷ‫ࠖ࠹࡝ࡘࠠ࠮ޟ‬ၮ⋚ࠍᵴ↪ߒߚ⛔วᄢቇࡐ࡯࠲࡞
Learning Gateway‫ޠ‬ࡑࠗࠢࡠ࠰ࡈ࠻ᩣᑼળ␠ ౏౒ࠗࡦ࠳ࠬ࠻࡝࡯⛔᜝ᧄㇱ ࠹ࠢ࠾ࠞ࡞ࠕ࡯ࠠ࠹ࠢ࠻ ട⮮⾫ᰴ㇢ Υ㧚ᣣᤨ   㧦2008 ᐕ 4 ᦬ 23 ᣣ(᳓) 13:30 – 17:00
 Φ㧚ળ႐   㧦᧲੩Ꮏᬺᄢቇ ᄢጟጊࠠࡖࡦࡄࠬ ᧄ㙚 H111 ⻠⟵ቶ Χ㧚ਥ௅   㧦GSIC(ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯) Ψ㧚ᓟេ   㧦࡮NTTࠦࡒࡘ࠾ࠤ࡯࡚ࠪࡦ࠭ᩣᑼળ␠
࡮ࡑࠗࠢࡠ࠰ࡈ࠻ᩣᑼળ␠
࡮ᩣᑼળ␠ਃ⪉✚ว⎇ⓥᚲ Ω㧚มળ   㧦દ᧲೑຦ GSIC ᢎ᝼ Ϊ㧚㐿ળ᜿ᜦ 㧦દỈ㆐ᄦ ℂ੐࡮೽ቇ㐳 (CIO)
 Ϋ㧚㐽ળ᜿ᜦ 㧦ᬀ᧻෹ᒾ GSIC ೽࠮ࡦ࠲࡯㐳 ά㧚ታⴕᆔຬળ㧦ቇⴚᖱႎㇱᖱႎၮ⋚⺖
XI㧚㐿௅⿰ᣦ 㧦᧲੩Ꮏᬺᄢቇ߇ᐔᚑ18ᐕᐲߦዉ౉ߒߚICࠞ࡯࠼ߣ⹺⸽⹺นࠪࠬ࠹ࡓ‫ޔ‬85ߘߒߡ⹺⸽ߦၮߠߊ࠰ࡈ࠻࠙ࠚࠕ൮᜝ᄾ⚂ታᣉߥߤߩዉ౉੐଀ࠍ⚫੺ߔࠆ࠮ࡒ࠽࡯ࠍ㐿௅ߒߚ‫ߩߢ࡞ࡌ࡟࠻ࡦࡔࠫࡀࡑޔߪߢ࡯࠽ࡒ࠮ᧄޕ‬ዉ౉ߩ⚻✲߿‫ޔ‬੐ോ೙ᐲߦ㑐ߔࠆὐ‫ߘޔ‬ߒߡᛛⴚ⊛ߦᎿᄦߒߚὐ߿໧㗴ὐߥߤ‫ᧄޔ‬ቇߢߩ⚻㛎ࠍઁᄢቇߩCIO߅ࠃ߮ᖱႎࠪࠬ࠹ࡓ㑐ଥ⠪ߦኻߒߡ⚫੺ߒߚ‫ᧄޔߚ߹ޕ‬ቇߩ‫ޟ‬ICࠞ࡯࠼‫⹺⸽⹺ޔ‬นࠪࠬ࠹ࡓ‫ࠕࠚ࠙࠻ࡈ࠰ޔ‬൮᜝ᄾ⚂‫࡯࠳ࡦࡌߩޠ‬ฦ૏߆ࠄࠠࡖࡦࡄࠬICT⛔วⅣႺࠍ᭴▽ߦ޽ߚߞߡ᦭↪ߥ࠰࡝ࡘ࡯࡚ࠪࡦ
ߦߟ޿ߡ⻠Ṷ㗂޿ߚ‫ޕ‬

86ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ਥ௅ࠪࡦࡐࠫ࠙ࡓ
‫ޟ‬వ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫↥ޣ‬ᬺᚢ⇛೑↪‫ޤ‬‫ޢࡦࠦࡄࠬߩߥࠎߺޡ‬657$#/' ߦࠃࠆࡍ࠲ࠬࠤ࡯࡞߳ߩ㘧⠍ࠪࡦࡐࠫ࠙ࡓ‫ޠ‬
 ․છಎᢎ᝼ ⷏Ꮉ ᱞᔒ㐿௅ᣣᤨ: ᐔᚑ 20 ᐕ 6 ᦬ 11 ᣣ(᳓)̘
㐿௅႐ᚲ: ᧲੩Ꮏᬺᄢቇ࠺ࠫ࠲࡞ᄙ⋡⊛ࡎ࡯࡞ਥ௅㧦᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯
ᐔᚑ 19 ᐕᐲࠃࠅ㐿ᆎߒߚవ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ‫↥ޣ‬ᬺᚢ⇛೑↪‫ޤ‬‫ޢࡦࠦࡄࠬߩߥࠎߺޡ‬TSUBAME ߦࠃࠆࡍ࠲ࠬࠤ࡯࡞߳ߩ㘧⠍ߩᐔᚑ 19 ᐕᐲታᣉ⺖㗴ߩ߁ߜ೑↪߇⚳ੌߒߚᣂⷙ೑↪᜛ᄢ⺖㗴ߩᚑᨐႎ๔ߥࠄ߮ߦ⠉ᐕᐲ߽⛮⛯ߩᚢ⇛ಽ㊁ផㅴ⺖㗴ߩਛ㑆ႎ๔ࠍ‫ߩࠇߙࠇߘޔ‬೑↪⒳೎ߢᦨ߽⸘▚⾗Ḯࠍ೑↪ߒߚ⺖㗴ࠍㆬᛮߒߡ
ⴕ޿‫ޔ‬ᢥㇱ⑼ቇ⋭⎇ⓥᝄ⥝ዪ⎇ⓥⅣႺ࡮↥ᬺㅪ៤⺖ ↰ญᐽ⺖㐳ߦၮ⺞⻠Ṷࠍଐ㗬ߒࠪࡦࡐࠫ࠙ࡓࠍ㐿௅޿ߚߒ߹ߒߚ‫ޕ‬ᒰᣣߪ‫ޔ‬੐೨ෳട⊓㍳⠪ 120 ฬߩ߁ߜ 92 ฬ಴Ꮸ‫ޔ‬ᒰᣣ
ෳട 8 ฬߣว⸘ 100 ฬߩ಴Ꮸ⠪ࠍㄫ߃߹ߒߚ‫ޕ‬ࡊࡠࠣ࡜ࡓ
12:30ޯ13:00

ฃઃ㐿ᆎ

13:00ޯ13:10

㐿ળ᜿ᜦ ᷰㄝ ᴦ㧔᧲Ꮏᄢቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯㐳㧕

13:10ޯ13:40

ၮ⺞⻠Ṷ ‫ޟ‬వ┵⎇ⓥᣉ⸳ߩ౒↪ߣ HPC ߳ߩᦼᓙ ޯࠗࡁࡌ࡯࡚ࠪࡦ
ഃ಴ߩߚ߼ߦޯ‫↰ ޠ‬ญ ᐽ㧔ᢥㇱ⑼ቇ⋭⎇ⓥᝄ⥝ዪ⎇ⓥⅣႺ࡮↥ᬺㅪ៤⺖ ⺖㐳㧕

13:40ޯ14:00

᧲੩Ꮏᬺᄢቇߩ↥ቇㅪ៤દỈ ㆐ᄦ㧔᧲੩Ꮏᬺᄢቇ೽ቇ㐳‫↥ޔ‬ቇㅪ៤ᧄㇱ㐳㧕
14:00ޯ14:45

ᚢ⇛ಽ㊁ਛ㑆ႎ๔Ꮒᄢ↢૕ಽሶߩ㕖⚻㛎⊛ಽሶ゠㆏ᴺߦࠃࠆ⸳⸘ᜰ

㊎᭴▽ ਛ᧛ ᝄ৻㇢ ਃ⪉ൻቇ⑼ቇᛛⴚ⎇ⓥ࠮ࡦ࠲࡯
14:45ޯ15:15

ભᙑ 㧔ࠦ࡜ࡏ࡟࡯࡚ࠪࡦ࡞࡯ࡓߦߡ⨥⩻ឭଏ㧕

15:15ޯ16:00

ᣂⷙ೑↪᜛ᄢᚑᨐႎ๔ ㌁ⴕᬺ࡮଻㒾ᬺߦ߅ߌࠆ ALM ࠪࠬ࠹ࡓߩ㐿⊒㠽ዬ ⑲ⴕ ࠾ࡘ࡯ࡔ࡝ࠞ࡞࠹ࠢࡁࡠࠫ࡯࠭ᩣᑼળ␠

16:00ޯ16:20

⺖㗴౏൐⺑᣿ ⷏Ꮉ ᱞᔒ㧔᧲Ꮏᄢቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯㧕

16:20ޯ16:30✚᜝‫ޔ‬㐽ળ᜿ᜦ ᷰㄝ ᴦ





87

‫ޣ‬㐿௅ᮨ᭽‫ޤ‬㧔એਅ‫ޔ‬ᢘ⒓⇛㧕਄࿑ ฃઃᮨ᭽

Ꮐ࿑ ᩺ౝ᧼

ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ ࠮ࡦ࠲࡯㐳 ᷰㄝᴦߦࠃࠆ㐿ળ᜿ᜦߣળ႐ߩ᭽ሶ



88ၮ⺞⻠Ṷ ‫ޟ‬వ┵⎇ⓥᣉ⸳ߩ౒↪ߣ HPC ߳ߩᦼᓙ

ޯࠗࡁࡌ࡯࡚ࠪࡦഃ಴ߩߚ߼ߦޯ‫ޠ‬ᢥㇱ⑼ቇ⋭⎇ⓥᝄ⥝ዪ⎇ⓥⅣႺ࡮↥ᬺㅪ៤⺖ ⺖㐳 ↰ญ ᐽ᧲੩Ꮏᬺᄢቇߩ↥ቇㅪ៤ ᧲੩Ꮏᬺᄢቇ೽ቇ㐳‫↥ޔ‬ቇㅪ៤ᧄㇱ㐳 દỈ ㆐ᄦᚢ⇛ಽ㊁ਛ㑆ႎ๔Ꮒᄢ↢૕ಽሶߩ㕖⚻㛎⊛ಽሶ゠㆏ᴺߦࠃ
ࠆ⸳⸘ᜰ㊎᭴▽ᩣᑼળ␠ਃ⪉ൻቇ⑼ቇᛛⴚ⎇ⓥ࠮ࡦ࠲࡯⸘▚⑼ቇᛛⴚቶ㐳ਃ⪉ൻቇࡈࠚࡠ࡯ਛ᧛ ᝄ৻㇢

89ᣂⷙ೑↪᜛ᄢᚑᨐ
ႎ๔ ㌁ⴕᬺ࡮଻㒾ᬺߦ߅ߌࠆ ALM ࠪࠬ࠹ࡓߩ㐿⊒
࠾ࡘ࡯ࡔ࡝ࠞ࡞࠹
ࠢࡁࡠࠫ࡯࠭ᩣᑼ
ળ␠ઍ⴫ข✦ᓎ␠㐳㠽ዬ ⑲ⴕ

ભᙑᤨ㑆ߢߩෳട⠪੤ᵹߩ᭽ሶ

90 ቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ਥ௅࿖㓙ࠪࡦࡐࠫ࠙ࡓ╙  ࿁)5+%࿖㓙ࠪࡦࡐࠫ࠙ࡓ
‫ޟ‬.GCFKPI5VWFKGUQP%QORWVCVKQPCN/GEJCPKEU‫ޠ‬2008 ᐕ 12 ᦬ 24 ᣣ (᳓) 13:00 - 17:30
ᄢጟጊࠠࡖࡦࡄࠬ ࠺ࠫ࠲࡞ᄙ⋡⊛ࡎ࡯࡞ෳട⠪ 50 ฬࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߩ⪺ߒ޿ᕈ⢻ะ਄ߦ઻޿‫੹ޔ‬ᓟ‫▚⸘ޔ‬ജቇಽ㊁㧔ᵹ૕⸃ᨆ࡮᭴ㅧ⸃ ᨆ 㧕 ߢ ߪ ᄢ ⷙ ᮨ ߆ ߟ 㜞 ᐲ ߥ ⸘ ▚ ߇ ⋉ ‫ ޘ‬ᔅ ⷐ ߣ ੍ ᗐ ߐ ࠇ ࠆ ‫ ޟޕ‬Leading Studies on
Computational Mechanics‫ᦨߡߒߣޠ‬వ┵ߩ⎇ⓥߩ⻠Ṷࠍㅢߒ‫੹ޔ‬ᓟߩ⸘▚ജቇߩᣇะᕈ࡮
⺖㗴ࠍ⼏⺰ߔࠆߎߣࠍ⋡⊛ߣߒߡ⴫⸥ࠪࡦࡐࠫ࠙ࡓ߇㐿௅ߐࠇߚ‫ޕ‬ᷰ ㄝ ࠮ ࡦ ࠲ ࡯ 㐳 ߩ 㐿 ળ ᜿ ᜦ ߩ ᓟ ‫ ࠬ ࠗ ࡜ ޔ‬ᄢ ቇ ߩ Tayfun E. Tezduyar ᢎ ᝼ ߆ ࠄ‫ޟ‬Space-Time Fluid-Structure Interaction Modeling‫ߣޠ‬㗴ߔࠆၮ⺞⻠Ṷ߇޽ࠅ‫⃻ޔ‬࿷ᦨ߽㑐ᔃߩ㜞޿࠹࡯ࡑߩ㧝ߟߢ޽ࠆᵹ૕㧙᭴ㅧㅪᚑ໧㗴ߦߟ޿ߡ‫ᤨޔ‬㑆㧙ⓨ㑆ߢߩ᦭㒢ⷐ⚛ᴺߩⷐ⚛ᄌᒻߦኻߔࠆࡕ࠺࡝ࡦࠣ߇ࡄ࡜ࠪࡘ࡯࠻ߩ⸘▚଀ࠍਛᔃߦㅀߴࠄࠇߚ‫ޕ‬㧔ᩣ㧕ࠕ࡜ࠗ࠼ࠛࡦࠫ࠾ࠕ࡝ࡦࠣߩ⑺⪲ඳ᳁߆ࠄߪ‫ޟޔ‬ᄢⷙᮨ᭴ㅧ⸃ᨆߩ⃻⁁‫ߣޠ‬㗴ߒߡ‫ޔ‬㗔ၞಽഀᴺߦ
ၮߠߊਗ೉ಣℂ᭴ㅧ⸃ᨆߩ HPC ߳ߩࠕࡊࡠ࡯࠴ߣታ଀߇⚫੺ߐࠇߚ‫ޕ‬ᢙ 1000 ࡊࡠ࠮࠶ࠨ
ࠍ⿥߃ࠆᄢⷙᮨ⸘▚ࠍⴕ߁㓙ߩⴕ೉⸘▚ߩ໧㗴ὐ߇ᜰ៰ߐࠇ‫ޔ‬෼᧤ߐߖࠆߚ߼ߩᚻᴺ߇␜
ߐࠇߚ‫ᧄޕ‬ቇ࡮ഃㅧࠛࡀ࡞ࠡ࡯ኾ᡹ߩ⡿ ㌵᳁߆ࠄߪ‫࠻ࡦࡔ࡯ࡕ࠴࡞ࡑޟޔ‬೙⚂ࠍ↪޿ࠆ㜞♖ᐲࠬࠠ࡯ࡓ‫߁޿ߣޠ‬㗴⋡ߢ‫ޔ‬ᩰሶὐ਄ߩ୯ߛߌߢߥߊ࠮࡞Ⓧಽ୯߿ᩰሶὐ㑆ߩ୯ࠍ೙⚂ߔࠆ⵬㑆㑐ᢙࠍ↪޿ࠆߎߣߢ㜞♖ᐲߥ࿶❗ᕈᵹ૕⸘▚ࠍⴕ߁ߎߣ߇ߢ߈ࠆߣ޿߁⻠Ṷ߇޽ߞߚ‫᦭ߩဳ࠻ࡦࡔ࡯ࡕ࠴࡞ࡑޔߒ␜ࠍ଀ߥ߹ߑ߹ߐޕ‬㒢૕Ⓧᴺߪ Discontinuous Galerkinᴺߣห⒟ᐲߦ㜞♖ᐲߢ޽ࠆߎߣ߇ㅀߴࠄࠇߚ‫ᧄޔߦࠄߐޕ‬ቇ࡮㕍ᧁዅਯ᳁߆ࠄߪ‫ޟ‬CFD ⸘▚ߩ GPU ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߦࠃࠆ⿥㜞ㅦൻ‫߁޿ߣޠ‬ౝኈߢ‫ޔ‬GPU㧔ࠣ࡜ࡈࠖࠢࠬ࡮ࡊ
ࡠ࠮࠶ࠨ࡮࡙࠾࠶࠻㧕ࠍ↪޿ߡᵹ૕⸘▚ࠍᢙ 10 ୚એ਄ㅦߊ⸘▚ߢ߈ࠆߎߣ߇࠺ࡕࠍ੤߃ߡ
⻠Ṷߐࠇߚ‫ޕ‬TSUBAME ߦ߽ᐔᚑ 20 ᐕ⑺ߦዉ౉ߐࠇߚ GPU ࠍ↪޿ߡᩰሶ♽ߩ⸘▚ࠍ㜞ㅦൻߔࠆߦߪ‫ࠍ࡝ࡕࡔ᦭౒ޔ‬೑↪ߔࠆߎߣߩ㊀ⷐߢ޽ࠆߎߣ߇ᜰ៰ߐࠇߚ‫ᦨޕ‬ᓟߦ‫᧲ޔ‬੩ᄢቇ࡮ਛፉ⎇๋᳁߆ࠄ‫ࠆߌ߅ߦࠨ࠶࠮ࡠࡊࠕࠦ࠴࡞ࡑޟ‬ਗ೉೨ಣℂઃ෻ᓳᴺߩߚ߼ߩ㗔ၞ
ಽഀᚻᴺ‫ߣޠ‬㗴ߒ‫▚⸘ޔ‬ജቇߩ໧㗴ߢ⴫ࠇࠆᖡ᧦ઙߥଥᢙࡑ࠻࡝ࠢࠬࠍᜬߟᄢⷙᮨታ໧㗴ࠍਗ೉೨ಣℂઃ෻ᓳᴺߢ⸃ߊ႐ว‫ޔ‬ㆡಾߥ㗔ၞಽഀᚻᴺࠍㆬᛯߔࠆߎߣ߇㊀ⷐߢ޽ࠅ‫ޔ‬㗔ၞಽഀߩߚ߼ߩᚢ⇛ߣߒߡ HID㧔Hierarchical Interface Decomposition㧕ߩ⺑᣿߇޽ߞߚ‫ޕ‬HID ᴺߩ Open MP ߣ MPI ߩ Hybrid ߣ Flat MPI ਗ೉ࡊࡠࠣ࡜ࡒࡦࠣࡕ࠺࡞ߦࠃࠆᲧセ㧘ਗ೉ᄙ㊀ᩰሶᴺ߳ߩㆡ↪଀ߦߟ޿ߡ߽⚫੺߇޽ߞߚ‫ޕ‬⻠Ṷߪ⧷⺆ߢⴕࠊࠇ‫ޔ‬ᐕᧃߢ޽ࠆߦ߽㑐ࠊࠄߕෳട⠪ 50 ฬ㧔ቇᄖ 21 ฬ‫ޔ‬ቇౝ 29 ฬ㧕ߦࠃࠆ⚳ᆎᵴ⊒ߥ⸛⺰߇ߥߐࠇߚ‫ޕ‬91 ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻ ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻
╙࿁ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻5WRGT%QP
╙࿁ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻5WRGT%QP
੹࿁ߢ14࿁⋡ߦߥࠆSuperCon2008ߦߪ16ᩞ21࠴࡯ࡓߩᔕ൐߇޽ࠅ‫᧲ޔ‬੩ળ႐(᧲੩Ꮏᬺ੹࿁ߢ14࿁⋡ߦߥࠆSuperCon2008ߦߪ16ᩞ21࠴࡯ࡓߩᔕ൐߇޽ࠅ‫᧲ޔ‬੩ળ႐(᧲੩Ꮏᬺᄢቇ)ߦ
9࠴࡯ࡓ‫ޔ‬ᄢ㒋ળ႐(ᄢ㒋ᄢቇ)ߦ10࠴࡯ࡓߩ⸘19࠴࡯ࡓ߇7᦬28ᣣ߆ࠄ8᦬1ᣣ߹ߢᄢቇ)ߦ
9࠴࡯ࡓ‫ޔ‬ᄢ㒋ળ႐(ᄢ㒋ᄢቇ)ߦ10࠴࡯ࡓߩ⸘19࠴࡯ࡓ߇7᦬28ᣣ߆ࠄ8᦬1ᣣ߹ߢ㐿௅ߐࠇߚᧄㆬߦෳടߒ߹ߒߚ‫ޕ‬㐿௅ߐࠇߚᧄㆬߦෳടߒ߹ߒߚ‫ޕ‬੍ㆬ໧㗴ߪ‫ޔ‬ਈ߃ࠄࠇߚᐳᮡࠍ⚿ࠎߛᄙⷺᒻߩ㕙Ⓧࠍ᳞߼ࠆߣ޿߁߽ߩߢ‫੹ޔ‬ᄢળ੍ㆬ߆
੍ㆬ໧㗴ߪ‫ޔ‬ਈ߃ࠄࠇߚᐳᮡࠍ⚿ࠎߛᄙⷺᒻߩ㕙Ⓧࠍ᳞߼ࠆߣ޿߁߽ߩߢ‫੹ޔ‬ᄢળ੍ㆬ߆
ࠄᣂߚߦഃ⸳ߐࠇߚ‫ޟ‬SuperCon⹺ቯ‫࡞ࠠࠬࠣࡦࡒ࡜ࠣࡠࡊߩޠ‬1⚖ߦ⹺ቯߐࠇߚ࠴࡯ࡓ߆
ࠄᣂߚߦഃ⸳ߐࠇߚ‫ޟ‬SuperCon⹺ቯ‫࡞ࠠࠬࠣࡦࡒ࡜ࠣࡠࡊߩޠ‬1⚖ߦ⹺ቯߐࠇߚ࠴࡯ࡓ߆
ࠄᧄㆬ಴႐࠴࡯ࡓࠍㆬᛮߔࠆߎߣߦߥࠅ߹ߒߚ‫ޕ‬ࠄᧄㆬ಴႐࠴࡯ࡓࠍㆬᛮߔࠆߎߣߦߥࠅ߹ߒߚ‫ޕ‬ᧄㆬ⺖㗴ߪ‫ޔ‬ਈ߃ࠄࠇߚn୘ߩᩰሶὐߦኻߒߘࠇࠄ߇┵ὐߣߥࠆࠃ߁ߥන⚐ᄙⷺᒻߩᦨዊ
ᧄㆬ⺖㗴ߪ‫ޔ‬ਈ߃ࠄࠇߚn୘ߩᩰሶὐߦኻߒߘࠇࠄ߇┵ὐߣߥࠆࠃ߁ߥන⚐ᄙⷺᒻߩᦨዊ
㕙Ⓧࠍ᳞߼ࠆߣ޿߁߽ߩߢߔ‫ޕ‬
㕙Ⓧࠍ᳞߼ࠆߣ޿߁߽ߩߢߔ‫ޕ‬
ክᩏᣇᴺߢ߽੹࿁ߪᣂߚߥ⹜ߺ߇ⴕࠊࠇ‫⚳ᦨޔ‬ᣣߦฦ࠴࡯ࡓߦഀࠅᒰߡࠄࠇߚᤨ㑆(1ᤨ㑆)ክᩏᣇᴺߢ߽੹࿁ߪᣂߚߥ⹜ߺ߇ⴕࠊࠇ‫⚳ᦨޔ‬ᣣߦฦ࠴࡯ࡓߦഀࠅᒰߡࠄࠇߚᤨ㑆(1ᤨ㑆)ߩਛߢࡊࡠࠣ࡜ࡓߩታⴕ෸߮ୃᱜࠍ(੍߼ቯ߼ࠄࠇߚ೙⚂ߩ▸࿐ౝߢ)⥄↱ߦⴕߞߡ߽ࠄ߁
ߩਛߢࡊࡠࠣ࡜ࡓߩታⴕ෸߮ୃᱜࠍ(੍߼ቯ߼ࠄࠇߚ೙⚂ߩ▸࿐ౝߢ)⥄↱ߦⴕߞߡ߽ࠄ߁
ߎߣߦߒ߹ߒߚ‫ޕ‬ߎߣߦߒ߹ߒߚ‫ޕ‬⚿ᨐ‫╳ޔ‬ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞߩ࠴࡯ࡓ potassio߇ℂ⺰ᦨዊ୯ࠍ㆐ᚑߒ⷗੐ఝൎ‫ޔ‬2૏⚿ᨐ‫╳ޔ‬ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞߩ࠴࡯ࡓ potassio߇ℂ⺰ᦨዊ୯ࠍ㆐ᚑߒ⷗੐ఝൎ‫ޔ‬2૏ߦ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞ(࠴࡯ࡓfunga)‫ޔ‬3૏ߦᐢፉቇ㒮㜞ᩞ(࠴࡯ࡓߦ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞ(࠴࡯ࡓfunga)‫ޔ‬3૏ߦᐢፉቇ㒮㜞ᩞ(࠴࡯ࡓmaruchan)ߣߥࠅ߹ߒߚ‫ޕ‬
maruchan)ߣߥࠅ߹ߒߚ‫ޕ‬
㗅૏
㗅૏
1
1
2
2
3
3
4
4
5
5
6
6
6
6
8
8
9

9
10
10
11

11
12
12

࠴࡯ࡓฬ
࠴࡯ࡓฬ
potassio

potassio
funga
funga
maruchanmaruchanRoketDan
RoketDan
kurofunekurofune
AAAAAism
AAAAAism
gigapuwa
gigapuwa
gemstonegemstone
hiro
hiro
ORCHISORCHIS
print7

print7
kadomaru
kadomaruቇᩞฬቇᩞฬ╳ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞ╳ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞᐢፉቇ㒮㜞╬ቇᩞᐢፉቇ㒮㜞╬ቇᩞ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞ᧲੩Ꮏᬺᄢቇ㒝ዻ⑼ቇᛛⴚ㜞╬ቇᩞਭ⇐☨Ꮏᬺ㜞╬ኾ㐷ቇᩞਭ⇐☨Ꮏᬺ㜞╬ኾ㐷ቇᩞ৻㑐Ꮏᬺ㜞╬ኾ㐷ቇᩞ৻㑐Ꮏᬺ㜞╬ኾ㐷ቇᩞᵿ᧻Ꮏᬺ㜞╬ቇᩞᵿ᧻Ꮏᬺ㜞╬ቇᩞᐢፉ࿖ᵏኹ㜞╬ቇᩞᐢፉ࿖ᵏኹ㜞╬ቇᩞ
ᐢ㜞╬ቇᩞ
ᐢ㜞╬ቇᩞ
╳ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞ╳ᵄᄢቇ㒝ዻ㚤႐㜞╬ቇᩞᴒ✽Ꮏᬺ㜞╬ኾ㐷ቇᩞᴒ✽Ꮏᬺ㜞╬ኾ㐷ቇᩞᐢፉ࿖ᵏኹ㜞╬ቇᩞᐢፉ࿖ᵏኹ㜞╬ቇᩞ

㕙Ⓧ
㕙Ⓧ
34.5
34.5
38.5
38.5
44.5
44.5
55
55
73
73
81
81
81

81
82
82
114

114
120
120
131.5
131.5
194
194

ߥ߅‫ޔ‬SuperCon2008ߢߪࠣࡠ࡯ࡃ࡞COE‫▚⸘ޟ‬਎⇇ⷰߩᷓൻߣዷ㐿‫ߢޠ‬ዉ౉ߒߚߥ߅‫ޔ‬SuperCon2008ߢߪࠣࡠ࡯ࡃ࡞COE‫▚⸘ޟ‬਎⇇ⷰߩᷓൻߣዷ㐿‫ߢޠ‬ዉ౉ߒߚ
TSUBASAࠍ೑↪ߐߖߡ㗂߈߹ߒߚ‫ޕ‬
TSUBASAࠍ೑↪ߐߖߡ㗂߈߹ߒߚ‫ޕ‬ࠦࡦ࠹ࠬ࠻⹦⚦㧦 http://www.gsic.titech.ac.jp/supercon/supercon2008/index.html
ࠦࡦ࠹ࠬ࠻⹦⚦㧦 http://www.gsic.titech.ac.jp/supercon/supercon2008/index.html
9292 ⻠⠌ળ ⻠⠌ળ⎇ⓥࠪࠬ࠹ࡓ
⎇ⓥࠪࠬ࠹ࡓ
2008 ᐕᤐᦼ⻠⠌ળታᣉႎ๔
2008ᐕᤐᦼ⻠⠌ળታᣉႎ๔
‫ޣ‬ᄢጟጊ࿾඙‫ޤ‬‫ޣ‬ᄢጟጊ࿾඙‫ޤ‬
1 UNIX ౉㐷
UNIX ౉㐷
1 Ensight౉㐷2

4 ᦬ 23 ᣣ(᳓)
4᦬᦬723ᣣ(᳓)
ᣣ(᳓)
5

2
3
3
4

Ensight౉㐷
AVS Express(ᵹ૕✬)
AVS
AVS Express(ᵹ૕✬)
Express(ಽሶ✬)

6
7
7
8

Mathematica
౉㐷(ೋ⚖✬)
࠴ࡘ࡯࠾ࡦࠣ(ࠪࡦࠣ࡞)࠴ࡘ࡯࠾ࡦࠣ(ࠪࡦࠣ࡞)AMBER ౉㐷55᦬᦬ 1314 ᣣ(Ἣ)
ᣣ(᳓)
5
᦬
14
ᣣ(᳓)
5 ᦬ 16 ᣣ(㊄)Materials
Explorler ౉㐷࠴ࡘ࡯࠾ࡦࠣ(ਗ೉)࠴ࡘ࡯࠾ࡦࠣ(ਗ೉)
Materials
Studio ౉㐷

5
5᦬
᦬ 20
21 ᣣ(Ἣ)
ᣣ(᳓)
5
᦬
21
ᣣ(᳓)
5 ᦬ 22 ᣣ(ᧁ)

4
5
5
6

AVS
Express(ಽሶ✬)
Gaussian౉㐷
Gaussian౉㐷౉㐷(ೋ⚖✬)Mathematica

8
9
9
10

AMBER
౉㐷
MOPAC ౉㐷
MOPAC ౉㐷
Materials
Explorler ౉㐷

12
13
13
14

Materials
Discovery StudioStudio ౉㐷౉㐷Discovery
Studio ౉㐷Molpro ౉㐷

10
11
11
12

14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23

5
5᦬
᦬7
8 ᣣ(᳓)
ᣣ(ᧁ)
5᦬
8
5 ᦬ 9 ᣣ(ᧁ)
ᣣ(㊄)

5
5᦬
᦬9
12ᣣ(㊄)
ᣣ(᦬)
5
5᦬
᦬ 12
13 ᣣ(᦬)
ᣣ(Ἣ)

5
5᦬
᦬ 16
19 ᣣ(㊄)ᣣ(᦬)
5᦬
19
5 ᦬ 20 ᣣ(᦬)
ᣣ(Ἣ)

5᦬
5
᦬ 22
23 ᣣ(ᧁ)
ᣣ(㊄)
5
5᦬
᦬ 23
27 ᣣ(㊄)ᣣ(Ἣ)

Molpro౉㐷
MSC.Nastran/MSC.Patran
౉㐷
MSC.Nastran/MSC.Patran
MSC.Nastran/MSC.Patran ౉㐷
౉㐷

5
᦬ 28
27 ᣣ(᳓)
ᣣ(Ἣ)
5᦬
5
5᦬
᦬ 28
29 ᣣ(᳓)ᣣ(ᧁ)

MSC.Nastran/MSC.Patran౉㐷
IMSL ౉㐷
IMSL౉㐷 ೋ⚖⠪ะߌ
MATLAB

5᦬
ᣣ(ᧁ)
6
᦬ 29
2 ᣣ(᦬)
66᦬
᦬2
3 ᣣ(᦬)
ᣣ(Ἣ)

MATLABೋ⚖⠪ะߌೋ⚖⠪ะߌ
MATLAB Simulink
MATLAB
Simulink I ೋ⚖⠪ะߌSAS ࡊࡠࠣ࡜ࡒࡦࠣ

66᦬
᦬3
3 ᣣ(Ἣ)
ᣣ(Ἣ)
6᦬3
6 ᦬ 5 ᣣ(Ἣ)
ᣣ(ᧁ)

SAS
ࡊࡠࠣ࡜ࡒࡦࠣI
ABAQUS౉㐷
ABAQUSABAQUS ౉㐷
౉㐷

6᦬
᦬ 13
5 ᣣ(ᧁ)
6
ᣣ(㊄)
6
᦬
13
6 ᦬ 16 ᣣ(㊄)ᣣ(᦬)

ABAQUSABAQUS ౉㐷౉㐷
ABAQUS ౉㐷

6
6᦬
᦬ 16
19 ᣣ(᦬)ᣣ(ᧁ)
6 ᦬ 19 ᣣ(ᧁ)‫ߌ߆ߕߔޣ‬บ࿾඙‫ޤ‬‫ߌ߆ߕߔޣ‬บ࿾඙‫ޤ‬
1 UNIX ౉㐷
1

4 ᦬ 24 ᣣ(ᧁ)
4 ᦬ 24 ᣣ(ᧁ)

UNIX ౉㐷

93
93

2008 ᐕ⑺ᦼ⻠⠌ળታᣉႎ๔
2008 ᐕ⑺ᦼ⻠⠌ળታᣉႎ๔
‫ޣ‬ᄢጟጊ࿾඙‫ޤ‬‫ޣ‬ᄢጟጊ࿾඙‫ޤ‬
1 UNIX ౉㐷
1 UNIX ౉㐷
2 AVS Express(ᵹ૕✬)
2 AVS Express(ᵹ૕✬)
3 AVS Express(ಽሶ✬)
3 AVS Express(ಽሶ✬)
4 AMBER ౉㐷
4 AMBER ౉㐷
5 Mathematica ౉㐷(ೋ⚖✬)
5 Mathematica ౉㐷(ೋ⚖✬)
6 MSC.Nastran/MSC.Patran ౉㐷
6 MSC.Nastran/MSC.Patran ౉㐷
7 MSC.Nastran/MSC.Patran ౉㐷
7 MSC.Nastran/MSC.Patran ౉㐷
8 Discovery Studio ౉㐷
8 Discovery Studio ౉㐷
9 Gaussian ౉㐷
9 Gaussian ౉㐷
10 MOPAC ౉㐷
10 MOPAC ౉㐷
11 ABAQUS ౉㐷
11 ABAQUS ౉㐷
12 IMSL ౉㐷
12 IMSL ౉㐷
13 Molpro ౉㐷13 Molpro ౉㐷
14 Materials Explorler ౉㐷
14 Materials Explorler ౉㐷15 ࡊࡠࠣ࡜ࡓ࠴ࡘ࡯࠾ࡦࠣ(ࠪࡦࠣ࡞)15 ࡊࡠࠣ࡜ࡓ࠴ࡘ࡯࠾ࡦࠣ(ࠪࡦࠣ࡞)16 Ensight ౉㐷
16 Ensight ౉㐷
17 SAS ࡊࡠࠣ࡜ࡒࡦࠣ I
17 SAS ࡊࡠࠣ࡜ࡒࡦࠣ I
18 MATLAB ೋ⚖⠪ะߌ
18 MATLAB ೋ⚖⠪ะߌ
19 MATLAB Simulink ೋ⚖⠪ะߌ
19 MATLAB Simulink ೋ⚖⠪ะߌ
20 Materials Studio ౉㐷
20 Materials Studio ౉㐷
21 ࡊࡠࠣ࡜ࡓ࠴ࡘ࡯࠾ࡦࠣ(ਗ೉)
21 ࡊࡠࠣ࡜ࡓ࠴ࡘ࡯࠾ࡦࠣ(ਗ೉)

10 ᦬ 1 ᣣ(᳓)
10 ᦬ 1 ᣣ(᳓)
10 ᦬ 2 ᣣ(ᧁ)
10 ᦬ 2 ᣣ(ᧁ)
10 ᦬ 3 ᣣ(㊄)10 ᦬ 3 ᣣ(㊄)10 ᦬ 7 ᣣ(Ἣ)
10 ᦬ 7 ᣣ(Ἣ)
10 ᦬ 10 ᣣ(㊄)10 ᦬ 10 ᣣ(㊄)10 ᦬ 14 ᣣ(Ἣ)
10 ᦬ 14 ᣣ(Ἣ)
10 ᦬ 15 ᣣ(᳓)
10 ᦬ 15 ᣣ(᳓)
10 ᦬ 16 ᣣ(ᧁ)
10 ᦬ 16 ᣣ(ᧁ)
10 ᦬ 20 ᣣ(᦬)
10 ᦬ 20 ᣣ(᦬)
10 ᦬ 21 ᣣ(Ἣ)
10 ᦬ 21 ᣣ(Ἣ)
10 ᦬ 27 ᣣ(᦬)
10 ᦬ 27 ᣣ(᦬)
10 ᦬ 29 ᣣ(Ἣ)
10 ᦬ 29 ᣣ(Ἣ)
10 ᦬ 30 ᣣ(᳓)
10 ᦬ 30 ᣣ(᳓)
11 ᦬ 4 ᣣ(Ἣ)
11 ᦬ 4 ᣣ(Ἣ)
11 ᦬ 5 ᣣ(᳓)
11 ᦬ 5 ᣣ(᳓)
11 ᦬ 6 ᣣ(ᧁ)
11 ᦬ 6 ᣣ(ᧁ)
11 ᦬ 7 ᣣ(㊄)11 ᦬ 7 ᣣ(㊄)11 ᦬ 10 ᣣ(᦬)
11 ᦬ 10 ᣣ(᦬)
11 ᦬ 10 ᣣ(᦬)
11 ᦬ 10 ᣣ(᦬)
11 ᦬ 11 ᣣ(Ἣ)
11 ᦬ 11 ᣣ(Ἣ)
11 ᦬ 12 ᣣ(᳓)
11 ᦬ 12 ᣣ(᳓)‫ߌ߆ߕߔޣ‬บ࿾඙‫ޤ‬‫ߌ߆ߕߔޣ‬บ࿾඙‫ޤ‬
1 UNIX ౉㐷
1 UNIX ౉㐷

9 ᦬ 30 ᣣ(Ἣ)
9 ᦬ 30 ᣣ(Ἣ)

9494ᐢႎᵴേ
ᐢႎᵴേ
 ࡑࠬࠦࡒႎ㆏╬ࡑࠬࠦࡒႎ㆏╬ࠝࡦ࡜ࠗࡦࡔ࠺ࠖࠕ
ࠝࡦ࡜ࠗࡦࡔ࠺ࠖࠕ
z PCWorld: “Inside Tsubame - the Nvidia GPU Supercomputer,” [12/09/2008]
z

z
z
z
z
z
z

z
z

z
z

z
z
z
z

z
z

z
z
z
z

z
z

PCWorld:“Inside Tsubame - the Nvidia GPU Supercomputer,” [12/09/2008]
http://www.pcworld.com/businesscenter/article/155242/inside_tsubame_the_nvidia_gp
http://www.pcworld.com/businesscenter/article/155242/inside_tsubame_the_nvidia_gp
u_supercomputer.html

u_supercomputer.html
ITmedia
News: 䇸NVIDIA 䈱 GPU 䈪䈘䉌䈮⠀䈳䈢䈒᧲Ꮏᄢ䇺TSUBAME䇻䇹 [12/03/2008]
ITmedia
News: 䇸NVIDIA 䈱 GPU 䈪䈘䉌䈮⠀䈳䈢䈒᧲Ꮏᄢ䇺TSUBAME䇻䇹 [12/03/2008]
http://www.itmedia.co.jp/news/articles/0812/03/news022.html

http://www.itmedia.co.jp/news/articles/0812/03/news022.html
ASCII.jp:䇸਎⇇ೋ䈱 GPU 䉴䊌䉮䊮䋣 ᧲Ꮏᄢ䈱 TSUBAME 1.2 䈏౏㐿䇹 [12/03/2008]
ASCII.jp:䇸਎⇇ೋ䈱 GPU 䉴䊌䉮䊮䋣 ᧲Ꮏᄢ䈱 TSUBAME 1.2 䈏౏㐿䇹 [12/03/2008]
http://ascii.jp/elem/000/000/194/194166/

http://ascii.jp/elem/000/000/194/194166/
PC
Watch: 䇸᧲Ꮏᄢ䇮਎⇇ೋ䈱 GPU ណ↪䉴䊌䉮䊮䈮ㅴൻ䈚䈢䇺TSUBAME 1.2䇻䉕⸃⺑ޯ
PC
Watch:
䇸᧲Ꮏᄢ䇮਎⇇ೋ䈱
GPU ណ↪䉴䊌䉮䊮䈮ㅴൻ䈚䈢䇺TSUBAME
1.2䇻䉕⸃⺑ޯ
NVIDIACEO䊐䉝䊮᳁䈲․೎⻠Ṷ䉕ታᣉ䇹
[12/03/2008]

NVIDIACEO 䊐䉝䊮᳁䈲․೎⻠Ṷ䉕ታᣉ䇹 [12/03/2008]
http://pc.watch.impress.co.jp/docs/2008/1203/nvidia.htm
http://pc.watch.impress.co.jp/docs/2008/1203/nvidia.htm
䊙䉟䉮䊚䉳䊞䊷䊅䊦:
䇸GPU 䈱ㅊട䈪ಣℂ⢻ജ䈏ะ਄䈚䈢᧲Ꮏᄢ䉴䊌䉮䊮䇸TSUBAME1.2䇹䈏౏䊙䉟䉮䊚䉳䊞䊷䊅䊦:㐿䇹 [12/03/2008] 䇸GPU 䈱ㅊട䈪ಣℂ⢻ജ䈏ะ਄䈚䈢᧲Ꮏᄢ䉴䊌䉮䊮䇸TSUBAME1.2䇹䈏౏㐿䇹[12/03/2008]
http://journal.mycom.co.jp/articles/2008/12/03/tsubame1.2/index.html

http://journal.mycom.co.jp/articles/2008/12/03/tsubame1.2/index.html
Tech-On:“[SC08] Japanese University Builds Supercomputer Using Nvidia's Latest
Tech-On:“[SC08] Japanese University Builds Supercomputer Using Nvidia's Latest
GPUs,” [11/26/2008]

GPUs,”[11/26/2008]
http://techon.nikkeibp.co.jp/english/NEWS_EN/20081125/161727/
http://techon.nikkeibp.co.jp/english/NEWS_EN/20081125/161727/
HPCProjects:“Tokyo Tech upgrades TSUBAME supercomputer,” [11/19/2008]

HPCProjects:“Tokyo Tech upgrades TSUBAME supercomputer,” [11/19/2008]
http://www.hpcprojects.com/news/news_story.php?news_id=697
http://www.hpcprojects.com/news/news_story.php?news_id=697
ArabianBusiness.com: “NVIDIA releases powerful personal supercomputer,”
ArabianBusiness.com: “NVIDIA releases powerful personal supercomputer,”[11/19/2008][11/19/2008]
http://www.arabianbusiness.com/538732-nvidia-releases-powerful-personal-supercom

http://www.arabianbusiness.com/538732-nvidia-releases-powerful-personal-supercom
puter
puter
ASCII.jp:
䇸 GPU 䈪 䊌 䊷 䉸 䊅 䊦 䈭 䉴 䊌 䉮 䊮 䉕 ታ ⃻ 䋣 㩷 NVIDIA 䈏 Tesla 䈪 ⁓ 䈉 䊝 䊉 䇹

ASCII.jp: 䇸 GPU 䈪 䊌 䊷 䉸 䊅 䊦 䈭 䉴 䊌 䉮 䊮 䉕 ታ ⃻ 䋣 㩷 NVIDIA 䈏 Tesla 䈪 ⁓ 䈉 䊝 䊉 䇹[11/19/2008][11/19/2008]
http://ascii.jp/elem/000/000/190/190468/

http://ascii.jp/elem/000/000/190/190468/
䊙䉟䉮䊚䉳䊞䊷䊅䊦:䇸╙ 32 ࿁ Top500 - Roadrunner 䈲௖Ꮕ䈪㚂૏䉕㒐ⴡ䇹 [11/19/2008]䊙䉟䉮䊚䉳䊞䊷䊅䊦:䇸╙ 32 ࿁ Top500 - Roadrunner 䈲௖Ꮕ䈪㚂૏䉕㒐ⴡ䇹 [11/19/2008]
http://journal.mycom.co.jp/articles/2008/11/18/top500/

http://journal.mycom.co.jp/articles/2008/11/18/top500/
SOFTPEDIA:“First NVIDIA Tesla-Based Supercomputer in TOP500,” [11/18/2008]
SOFTPEDIA:“First NVIDIA Tesla-Based Supercomputer in TOP500,” [11/18/2008]
http://news.softpedia.com/news/First-NVIDIA-Tesla-Based-Supercomputer-in-TOP50

http://news.softpedia.com/news/First-NVIDIA-Tesla-Based-Supercomputer-in-TOP50
0-98136.shtml
0-98136.shtml
The
INQUIRER: “Nvidia teams up with Tokyo Tech for more supercomputery,”The
INQUIRER: “Nvidia teams up with Tokyo Tech for more supercomputery,”[11/18/2008][11/18/2008]9595

http://www.theinquirer.net/inquirer/news/460/1049460/nvidia-teams-up-with-tokyo-te
http://www.theinquirer.net/inquirer/news/460/1049460/nvidia-teams-up-with-tokyo-tech-for-more-supercomputery

z
z

z
z

z
z

z
z

ch-for-more-supercomputery
HPCwire:“Tokyo Tech Boosts TSUBAME Super with GPUs,” [11/17/2008]
HPCwire:“Tokyo Tech Boosts TSUBAME Super with GPUs,” [11/17/2008]
http://www.hpcwire.com/specialfeatures/sc08/offthewire/Tokyo_Tech_Boosts_TSUBA

http://www.hpcwire.com/specialfeatures/sc08/offthewire/Tokyo_Tech_Boosts_TSUBA
ME_Super_with_GPUs.html
ME_Super_with_GPUs.html
Hollywood
Industry: “Tokyo Tech Builds First Tesla GPU Based Heterogeneous
Hollywood
Industry:“TokyoTech Builds First Tesla GPU Based Heterogeneous
Cluster to Reach
Top 500,”[11/17/2008]
Clusterto Reach Top 500,” [11/17/2008]
http://hollywoodindustry.digitalmedianet.com/articles/viewarticle.jsp?id=584074
http://hollywoodindustry.digitalmedianet.com/articles/viewarticle.jsp?id=584074
䊙䉟䉮䊚䉳䊞䊷䊅䊦:
䇸GPU 䈫 Xeon 䉪䊤䉴䉺䈱ㅊട䈪ᣣᧄ৻ᅓㆶ䉕⋡ᜰ䈜᧲Ꮏᄢ TSUBAME䊙䉟䉮䊚䉳䊞䊷䊅䊦:
䇸GPU 䈫 Xeon 䉪䊤䉴䉺䈱ㅊട䈪ᣣᧄ৻ᅓㆶ䉕⋡ᜰ䈜᧲Ꮏᄢ TSUBAME䉲䉴䊁䊛䇹 [10/23/2008]䉲䉴䊁䊛䇹 [10/23/2008]
http://journal.mycom.co.jp/articles/2008/10/23/tsubame/
http://journal.mycom.co.jp/articles/2008/10/23/tsubame/
PC
Watch: 䇸IBM䇺Roadrunner䇻䈏 1Peta FLOPS ⿥䈪䉴䊌䉮䊮 1 ૏䈮䇹[06/19/2008]
PC Watch: 䇸IBM䇺Roadrunner䇻䈏 1Peta FLOPS ⿥䈪䉴䊌䉮䊮 1 ૏䈮䇹[06/19/2008]
http://pc.watch.impress.co.jp/docs/2008/0619/top500.htm
http://pc.watch.impress.co.jp/docs/2008/0619/top500.htm

ᣂ⡞ᣂ⡞z ᣣ⚻↥ᬺᣂ⡞䋺䇸䉫䊤䊐䉞䉾䉪䉴 LSI㩷 䉴䊌䉮䊮㜞ㅦൻ䈮ォ↪㩷 Ṷ▚ㅦᐲ 100 ୚એ਄䈮䉅䇹
z
z
z
z
z
z
z
z
z
z

ᣣ⚻↥ᬺᣂ⡞䋺䇸䉫䊤䊐䉞䉾䉪䉴
LSI㩷 䉴䊌䉮䊮㜞ㅦൻ䈮ォ↪㩷 Ṷ▚ㅦᐲ 100 ୚એ਄䈮䉅䇹
䇼1/6/2009䇽
䇼1/6/2009䇽㔚ᵄᣂ⡞䋺䇸᧲੩Ꮏᬺᄢቇ㩷 䉴䊌䉮䊮ᦨᣂ 䉕౏㐿㩷 䉣䊇䊎䊂䉞䉝䈱 GPU680 ୘ㅊട㩷㔚ᵄᣂ⡞䋺䇸᧲੩Ꮏᬺᄢቇ㩷䉴䊌䉮䊮ᦨᣂ 䉕౏㐿㩷 䉣䊇䊎䊂䉞䉝䈱 GPU680 ୘ㅊട㩷
77.48
䊁䊤䊐䊨䉾䊒䉴ታ⃻䇹䇼12/4/2008䇽
77.48
䊁䊤䊐䊨䉾䊒䉴ታ⃻䇹䇼12/4/2008䇽 ☨࿖䇮1-9 ૏䉕⁛භ㩷 ᣣᧄ൓ᦨ㜞䈲᧲ᄢ 27 ૏䇹ᣣ⚻↥ᬺᣂ⡞䋺䇸䉴䊌䉮䊮ᕈ⢻䊤䊮䉨䊮䉫㩷ᣣ⚻↥ᬺᣂ⡞䋺䇸䉴䊌䉮䊮ᕈ⢻䊤䊮䉨䊮䉫㩷☨࿖䇮1-9 ૏䉕⁛භ㩷 ᣣᧄ൓ᦨ㜞䈲᧲ᄢ 27 ૏䇹䇼11/19/2008䇽䇼11/19/2008䇽ᣣ ೀ Ꮏ ᬺ ᣂ ⡞ 䋺 䇸 NEC 䈏 䉴 䊌 䉮 䊮 㩷 ☨ ࿖ ␠ ⵾ GPU ៞ タ 㩷 Ṷ ▚ ⢻ ജ Ⴧ ᒝ ቟ ଔ 䈮 䇹ᣣ ೀ Ꮏ ᬺ ᣂ ⡞ 䋺 䇸 NEC 䈏 䉴 䊌 䉮 䊮 㩷 ☨ ࿖ ␠ ⵾ GPU ៞ タ 㩷 Ṷ ▚ ⢻ ജ Ⴧ ᒝ ቟ ଔ 䈮 䇹
䇼11/19/2008䇽䇼11/19/2008䇽㔚ᵄᣂ⡞䋺䇸㜞ᕈ⢻䊌䉸䉮䊮䇸TOP500䇹䊕䉺⚖䉲䉴䊁䊛䈏䋲ᯏ⒳㩷 500 ᯏ⒳䇼11/19/2008䇽z㔚ᵄᣂ⡞䋺䇸㜞ᕈ⢻䊌䉸䉮䊮䇸TOP500䇹䊕䉺⚖䉲䉴䊁䊛䈏䋲ᯏ⒳㩷
ᯏ⒳䇼11/19/2008䇽ᣣ⚻↥ᬺᣂ⡞䋺䇸䊂䊋䉟䉴䊶䉣䊧䉪䊃䊨䊆䉪䉴㩷㔚ሶ⺰⹏㩷 AMD ⵾500
CPU䇮䉴䊌䉮䊮䈪ਥᵹ䈮㩷ᣣ⚻↥ᬺᣂ⡞䋺䇸䊂䊋䉟䉴䊶䉣䊧䉪䊃䊨䊆䉪䉴㩷㔚ሶ⺰⹏㩷 AMD ⵾ CPU䇮䉴䊌䉮䊮䈪ਥᵹ䈮㩷ఝ૏ᕈ䈱⛽ᜬ䈲㔍䈚䈒䇹䇼6/3/2008䇽zzzఝ૏ᕈ䈱⛽ᜬ䈲㔍䈚䈒䇹䇼6/3/2008䇽 ਎⇇䈪䈲 10 ૏⋧ᒰ䇹䇼6/3/2008䇽⺒ᄁᣂ⡞䋺䇸᧲ᄢ䈮࿖ౝᦨㅦ䉴䊌䉮䊮㩷⺒ᄁᣂ⡞䋺䇸᧲ᄢ䈮࿖ౝᦨㅦ䉴䊌䉮䊮㩷
10 ૏⋧ᒰ䇹䇼6/3/2008䇽ᣣೀᎿᬺᣂ⡞䋺䇸ಽᢔ䈚䈢䉴䊌䉮䊮ㅪ៤㩷਎⇇䈪䈲䉫䊥䉾䊄↪䉸䊐䊃㐿⊒㩷ᖱႎቇ⎇䇹䇼5/12/2008䇽zzzᣣೀᎿᬺᣂ⡞䋺䇸ಽᢔ䈚䈢䉴䊌䉮䊮ㅪ៤㩷䉫䊥䉾䊄↪䉸䊐䊃㐿⊒㩷ᖱႎቇ⎇䇹䇼5/12/2008䇽⑼ቇᣂ⡞䋺䇸䊕䉺⚖䉴䊌䉮䊮ታ⃻䈮ਇนᰳ㩷శ䉟䊮䉺䊷䉮䊈䉪䊃ᛛⴚ㐿⊒㩷䌎䌅䌃䊶᧲Ꮏᄢ䈏ᚑ⑼ቇᣂ⡞䋺䇸䊕䉺⚖䉴䊌䉮䊮ታ⃻䈮ਇนᰳ㩷శ䉟䊮䉺䊷䉮䊈䉪䊃ᛛⴚ㐿⊒㩷䌎䌅䌃䊶᧲Ꮏᄢ䈏ᚑഞ䇹䇼4/4/2008䇽㩷㩷ഞ䇹䇼4/4/2008䇽zzz

BS11䍀BS11
䊆䊠䊷䉴䍁䌛6/11/2008䌝 [4/16/2008]䊁䊧䊎᧲੩♽䇸䊝䊷䊆䊮䉫䉰䊁䊤䉟䊃䇹䊁䊧䊎᧲੩♽䇸䊝䊷䊆䊮䉫䉰䊁䊤䉟䊃䇹 [4/16/2008]࠹࡟ࡆ
࠹࡟ࡆ
z BS11䍀BS11 䊆䊠䊷䉴䍁䌛6/11/2008䌝

96
96 ⷗ቇ⠪ฃ౉⁁ᴫ ⷗ቇ⠪ฃ౉⁁ᴫ

᦬㩷
᦬㩷

4
4

ᣣ㩷
ᣣ㩷

8
8
14
14
16
16
23
23
24
24

5
5

30
30
7
7
14
14

6
6

7
7

15
15
22
22
22
22
22
22
10
10
11
11
18
18
3
3
8
8
10
10

⷗㩷 ቇ㩷 ⠪㩷 ᚲ㩷 ዻ㩷⷗㩷 ቇ㩷 ⠪㩷 ᚲ㩷 ዻ㩷↥ᬺᛛⴚ✚ว⎇ⓥᚲ
↥ᬺᛛⴚ✚ว⎇ⓥᚲ
IFREMER(French Research Institute for Exploitation of
IFREMER(French Research Institute for Exploitation of
the Sea)the Sea)࠹࡟ࡆ᧲੩ႎ㆏ዪ⚻ᷣ࠾ࡘ࡯ࠬ࠮ࡦ࠲࡯
࠹࡟ࡆ᧲੩ႎ㆏ዪ⚻ᷣ࠾ࡘ࡯ࠬ࠮ࡦ࠲࡯(ᩣ)ࡉ࡜ࡦ࠼࠳ࠗࠕࡠࠣ(ᩣ)ࡉ࡜ࡦ࠼࠳ࠗࠕࡠࠣ
ᧄቇℂᎿቇ⎇ⓥ⑼࡮⸘▚‛ℂᎿቇ ⻠⟵ฃ⻠⠪
ᧄቇℂᎿቇ⎇ⓥ⑼࡮⸘▚‛ℂᎿቇ ⻠⟵ฃ⻠⠪
ICU,Hanyang Univ,KT
ICU,Hanyang Univ,KT
NVIDIANVIDIASun Microsystems
Sun Microsystems(ᩣ)࡝ࠦ࡯࡮ਛᄩ⎇ⓥᚲ(ᩣ)࡝ࠦ࡯࡮ਛᄩ⎇ⓥᚲ
ᧄቇᖱႎℂᎿቇ⎇ⓥ⑼ GCOE‫▚⸘ޟ‬਎⇇ⷰߩᷓൻߣዷ㐿‫ޠ‬ᧄቇᖱႎℂᎿቇ⎇ⓥ⑼ GCOE‫▚⸘ޟ‬਎⇇ⷰߩᷓൻߣዷ㐿‫ޠ‬Institute for Computing, Information and Cognitive
Institute for Computing, Information and Cognitive
Systems(The University of British Columbia)
Systems(The University of British Columbia)ਛ࿖࿖ኅ⥄ὼ⑼ቇၮ㊄ᆔຬળᆔຬ
ਛ࿖࿖ኅ⥄ὼ⑼ቇၮ㊄ᆔຬળᆔຬ
IBMIBMᢥㇱ⑼ቇ⋭ ⎇ⓥᝄ⥝ዪᖱႎ⺖㐳ઁᢥㇱ⑼ቇ⋭ ⎇ⓥᝄ⥝ዪᖱႎ⺖㐳ઁᢥㇱ⑼ቇ⋭ ⑼ቇᛛⴚ࡮ቇⴚ᡽╷ዪᢥㇱ⑼ቇ⋭ ⑼ቇᛛⴚ࡮ቇⴚ᡽╷ዪ
ATIP(㨻㩆㩨㨻⑼ቇᛛⴚ੤ᵹදળ)ATIP(㨻㩆㩨㨻⑼ቇᛛⴚ੤ᵹදળ)ᢥㇱ⑼ቇ⋭ ⎇ⓥᝄ⥝ዪ࡜ࠗࡈࠨࠗࠛࡦࠬ⺖ᢥㇱ⑼ቇ⋭ ⎇ⓥᝄ⥝ዪ࡜ࠗࡈࠨࠗࠛࡦࠬ⺖UCSF‫᧲ޔ‬੩ᄢቇᄢቇ㒮⮎ቇ♽⎇ⓥ⑼UCSF‫᧲ޔ‬੩ᄢቇᄢቇ㒮⮎ቇ♽⎇ⓥ⑼⟲㚍⋵┙દ൓ፒ㜞╬ቇᩞ⟲㚍⋵┙દ൓ፒ㜞╬ቇᩞ
UAE ࠕࡉ࠳ࡆ㚂㐳࿖ Masdar‫ࡕࠬࠦޔ‬⍹ᴤ ઁ
UAE ࠕࡉ࠳ࡆ㚂㐳࿖ Masdar‫ࡕࠬࠦޔ‬⍹ᴤ ઁ
࠲ࠗᢎ⢒⋭
࠲ࠗᢎ⢒⋭

97
97

䈉䈤
ੱ㩷 㩷 䈉䈤ੱ㩷 㩷 ቇᄖ
ᢙ㩷 ቇᄖ
⠪㩷
ᢙ㩷
⠪㩷

䈉䈤
䈉䈤
ᄖ࿖
ᄖ࿖
ੱ㩷
ੱ㩷

2
2

2
2

0
0

5
5

5
5

0
0

30
30
6
6

0
0
4
4

0
0
4
4

7
7

7
7

2
2

5
5
40
40

5
5
20
20

0
0
0
0

1
1

1
1

1
1

10
10
2
2
3
3
7
7
1
1
4
4
4
4
7
7
5
5
15
15

6
6
2
2
3
3
3
3
1
1
2
2
2
2
6
6
3
3
12
12

6
6
1
1
0
0
0
0
1
1
0
0
1
1
0
0
1
1
12
12

18
18
25
25
29
29

8
8
9
9

10
10

11
11
12
12

1
1

29
29
28
28
2
2
10
10
26
26
2
2
20
20
28
28
13
13
1
1
2
2
2
2
3
3
4
4
5
5
11
11
12
12
19
19
15
15
20
20

ᧄቇℂቇㇱᖱႎ⑼ቇ⑼⸘▚ᯏࠪࠬ࠹ࡓฃ⻠↢
ᧄቇℂቇㇱᖱႎ⑼ቇ⑼⸘▚ᯏࠪࠬ࠹ࡓฃ⻠↢
Sun Microsystems‫ޔ‬INRIASun Microsystems‫ޔ‬INRIAᧄቇ␠ળℂᎿቇ⎇ⓥ⑼ੱ㑆ⴕേࠪࠬ࠹ࡓኾ᡹ᧄቇ␠ળℂᎿቇ⎇ⓥ⑼ੱ㑆ⴕേࠪࠬ࠹ࡓኾ᡹
National Central University(บḧ)

National Central University(บḧ)࿖┙ᴧᵤ㜞ኾ ቴຬᢎ᝼࿖┙ᴧᵤ㜞ኾ ቴຬᢎ᝼ࡂࡢࠗᄢቇ‫ࠬࡑ࠻࡯࠳ޔ‬ᄢቇ‫ޔ‬EDUCAUSE‫ޔ‬NIME
ࡂࡢࠗᄢቇ‫ࠬࡑ࠻࡯࠳ޔ‬ᄢቇ‫ޔ‬EDUCAUSE‫ޔ‬NIME
Rensselaer Polytechnic InstituteRensselaer Polytechnic InstituteNTT ೽␠㐳 ઁNTT ೽␠㐳 ઁਛ࿖᧲ർᄢቇ‫᧲⪇ޔ‬Ꮷ▸ᄢቇ‫᧲⪇ޔ‬ℂᎿᄢቇਛ࿖᧲ർᄢቇ‫᧲⪇ޔ‬Ꮷ▸ᄢቇ‫᧲⪇ޔ‬ℂᎿᄢቇࡌ࡞࡝ࡦᎿ⑼ᄢቇ㐳 ઁࡌ࡞࡝ࡦᎿ⑼ᄢቇ㐳 ઁᄢㅪℂᎿᄢቇ
ᄢㅪℂᎿᄢቇ
ᄢቇ⹏ଔ࡮ቇ૏᝼ਈᯏ᭴
ᄢቇ⹏ଔ࡮ቇ૏᝼ਈᯏ᭴ᧄቇᖱႎℂᎿቇ⎇ⓥ⑼ ઁ
ᧄቇᖱႎℂᎿቇ⎇ⓥ⑼ ઁㄘᨋ᳓↥⋭ㄘᨋ᳓↥ᛛⴚળ⼏ㄘᨋ᳓↥⋭ㄘᨋ᳓↥ᛛⴚળ⼏ᩔᧁ⋵┙ቝㇺች㜞╬ቇᩞᩔᧁ⋵┙ቝㇺች㜞╬ቇᩞ(ᩣ)NVIDIA ઁ(ࡊ࡟ࠬࡉ࡝࡯ࡈࠖࡦࠣෳട⠪)(ᩣ)NVIDIA ઁ(ࡊ࡟ࠬࡉ࡝࡯ࡈࠖࡦࠣෳട⠪)JSPS ࠪࡦࡐࠫ࠙ࡓෳട⠪JSPS ࠪࡦࡐࠫ࠙ࡓෳട⠪ࡈࠔࡂ࠼࿖₺⍹ᴤ㋶‛⾗Ḯᄢቇ(ࠨ࠙ࠫࠕ࡜ࡆࠕ)ࡈࠔࡂ࠼࿖₺⍹ᴤ㋶‛⾗Ḯᄢቇ(ࠨ࠙ࠫࠕ࡜ࡆࠕ)ࡕࡁ࡝ࠬ SKG(ᩣ)ࡕࡁ࡝ࠬ SKG(ᩣ)ၔධࡉ࡟ࠗࡦ࠭
ၔධࡉ࡟ࠗࡦ࠭
ᧄቇᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼ᧄቇᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼(ᩣ)ࡔ࠺ࠖࠕࠪࠚࠗࠞ࡯࠭ ઁ(ᩣ)ࡔ࠺ࠖࠕࠪࠚࠗࠞ࡯࠭ ઁ㜞⍮⋵┙㜞⍮⷏㜞╬ቇᩞ㜞⍮⋵┙㜞⍮⷏㜞╬ቇᩞᧄቇᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼⸘▚Ꮏቇኾ᡹ᧄቇᄢቇ㒮ᖱႎℂᎿቇ⎇ⓥ⑼⸘▚Ꮏቇኾ᡹

98
98

33
33
4
4

0
0
4
4

0
0
2
2

13
13

10
10

10
10

1
1
4
4
1
1
5
5
6
6
6
6
14
14
15
15
6
6
3
3
33
33
20
20
13
13
18
18
4
4
17
17
30
30
3
3
25
25
2
2

1
1
4
4
1
1
4
4
4
4
4
4
12
12
10
10
5
5
3
3
31
31
20
20
12
12
17
17
3
3
15
15
0
0
3
3
23
23
1
1

0
0
2
2
1
1
0
0
4
4
4
4
12
12
0
0
0
0
0
0
0
0
0
0
12
12
16
16
1
1
0
0
0
0
0
0
0
0
1
1

2
2

20
20
23
23
26
26
6
6
12
12
12
12
17
17

3
3

17
17
9
9
13
13
18
18
18
18
23
23
30
30
30
30
30
30

⷏ᳯᄢቇ(㖧࿖)
⷏ᳯᄢቇ(㖧࿖)IBM Austin Research Lab
IBM Austin Research Lab㖧࿖᪸⧎ᅚሶᄢቇ‫↱⥄ࡦ࡝࡞ࡌޔ‬ᄢቇ㖧࿖᪸⧎ᅚሶᄢቇ‫↱⥄ࡦ࡝࡞ࡌޔ‬ᄢቇᄢㅪ⧎࿦ญ⚻ᷣ▤ℂᆔຬળ㧔㖧࿖㧕‫ޔ‬ᄢ↰඙ᄢㅪ⧎࿦ญ⚻ᷣ▤ℂᆔຬળ㧔㖧࿖㧕‫ޔ‬ᄢ↰඙ℂൻቇ⎇ⓥᚲ
ℂൻቇ⎇ⓥᚲ
ࠛ࡞ࠩ࡮ࠫࡖࡄࡦ‫ޔ‬Lucidࠛ࡞ࠩ࡮ࠫࡖࡄࡦ‫ޔ‬Lucid
OECD Global Science Forum ᜂᒰቶ
OECD
Global Science Forum ᜂᒰቶ
ᢥㇱ⑼ቇ⋭
ᢥㇱ⑼ቇ⋭
Microsoft
Microsoft࠲ࠗ࿖࠴ࠚࡦࡑࠗᄢቇ
࠲ࠗ࿖࠴ࠚࡦࡑࠗᄢቇ
ᧄቇࠣࡠ࡯ࡃ࡞ࠛ࠶ࠫ⎇ⓥ㒮 ઁᧄቇࠣࡠ࡯ࡃ࡞ࠛ࠶ࠫ⎇ⓥ㒮 ઁᣣᧄቇⴚᝄ⥝ળℂ੐㐳 ઁᣣᧄቇⴚᝄ⥝ળℂ੐㐳 ઁᧄቇ↢๮ℂᎿቇ⎇ⓥ⑼‫ޔ‬㧔⁛㧕᫪ᨋ✚ว⎇ⓥᚲ ઁᧄቇ↢๮ℂᎿቇ⎇ⓥ⑼‫ޔ‬㧔⁛㧕᫪ᨋ✚ว⎇ⓥᚲ ઁ࠲ࠗ࿖ኅἴኂ⼊ႎ࠮ࡦ࠲࡯
࠲ࠗ࿖ኅἴኂ⼊ႎ࠮ࡦ࠲࡯
APPRO‫ޔ‬CRAY
APPRO‫ޔ‬CRAY
Imperial College
Imperial Collegeᧄቇ↥ቇㅪ៤ផㅴᧄㇱᧄቇ↥ቇㅪ៤ផㅴᧄㇱ⸘㩷 57 ઙ⸘㩷 57 ઙ

99
99

13
13
1
1
10
10
5
5
3
3
4
4

11
11
1
1
8
8
3
3
2
2
4
4

11
11
1
1
8
8
2
2
0
0
2
2

6
6

4
4

1
1

4
4
3
3
4
4
4
4
4
4
3
3
5
5
1
1
6
6
506
506

4
4
1
1
3
3
1
1
3
3
3
3
5
5
1
1
5
5
330
330

2
2
1
1
3
3
0
0
0
0
3
3
2
2
1
1
0
0
131
131

੍▚ၫⴕ⁁ᴫ੍▚ၫⴕ⁁ᴫ
1. ᐔᚑ 20 ᐕᐲᴺੱㆇ༡⾌᳿▚㗵
20 ᐕᐲᴺੱㆇ༡⾌᳿▚㗵
1. ᐔᚑ
⎇ⓥ⚻⾌
⎇ⓥ⚻⾌
ᢎ⢒⎇ⓥᡰេ⚻⾌ᢎ⢒⎇ⓥᡰេ⚻⾌㧔߁ߜ㔚ሶ⸘▚ᯏ⾓୫ᢱ㧕㧔߁ߜ㔚ሶ⸘▚ᯏ⾓୫ᢱ㧕৻⥸▤ℂ⾌
৻⥸▤ℂ⾌ว  ⸘ ว  ⸘
2. ᄖㇱ⾗㊄ฃ౉⁁ᴫ
2. ᄖㇱ⾗㊄ฃ౉⁁ᴫ
ᅑቇነઃ㊄
ᅑቇነઃ㊄
ฃ⸤⎇ⓥ
ฃ⸤⎇ⓥ
᳃㑆╬ߣߩ౒ห⎇ⓥ᳃㑆╬ߣߩ౒ห⎇ⓥ⑼ቇ⎇ⓥ⾌⵬ഥ㊄⑼ቇ⎇ⓥ⾌⵬ഥ㊄








 ዊ  ⸘ ዊ  ⸘ ว  ⸘ ว  ⸘

31,01331,013
1,268,895
613,324
1,268,895
613,324523
523
1,300,431
1,300,431

















․ቯ㗔ၞ⎇ⓥ․ቯ㗔ၞ⎇ⓥၮ⋚⎇ⓥ㧭
ၮ⋚⎇ⓥ㧭
ၮ⋚⎇ⓥ㧮
ၮ⋚⎇ⓥ㧮
․೎⎇ⓥຬᅑബ⾌․೎⎇ⓥຬᅑബ⾌





100
100

2ઙ
2ઙ
7ઙ
7ઙ
6ઙ
6ઙ
2ઙ
2ઙ
0ઙ
0ઙ
2ઙ
2ઙ
2ઙ
2ઙ
6ઙ
6ઙ
21 ઙ
21 ઙ

1,360
1,360
152,383
152,383
33,43933,43923,70023,7000012,87012,870 1,700
 1,700
38,27038,270225,452
225,452

㩷
㩷
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞



ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞
ජ౞

⎇ⓥᵴേႎ๔ ᖱႎၮ⋚ㇱ㐷ᢎ᝼ દ᧲ ೑຦㧔ᖱႎᵹㅢಽ㊁㧕ዪᚲᓳภน⢻╓ภߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ฎౖ⊛ߥ⺋ࠅ⸓ᱜ╓ภߪ‫〒⸘⸳ޔ‬㔌એਅߩ⺋ࠅࠍ฽߻ฃାࡌࠢ࠻࡞ో૕ࠍෳᾖߒ‫ޔ‬ኻᔕߔࠆࡔ࠶࠮࡯ࠫࡌࠢ࠻࡞ో૕ࠍ ৻⥸ߦߪ⏕₸  ߢ ᓳరߔࠆ‫ߦࠇߎޕ‬ኻߒዪᚲ⊛ᓳภน⢻╓ภߪ‫〒⸘⸳ޔ‬㔌એਅߩ⺋ࠅࠍ฽߻ฃାࡌࠢ࠻࡞ߩᢙ▎ᚲࠍෳᾖߒ‫ޔ‬ኻᔕߔࠆࡔ࠶࠮࡯
ࠫࡌࠢ࠻࡞ߩછᗧߩන৻ࠪࡦࡏ࡞ࠍ㜞޿⏕₸ߢᓳరߔࠆ‫ޔߦ⥸৻ޕ‬ዪᚲ⊛ᓳภน⢻╓ภߦ߅޿ߡߪ‫ޔ‬ฃାࡌࠢ࠻࡞ߩෳᾖ▎ᚲᢙߣ╓ภ⺆㐳ߩ㑆ߦ࠻࡟࡯࠼ࠝࡈߩ㑐ଥ߇ሽ࿷ߔ
ࠆ‫ޔߦߢ߹ࠇߎޕ‬ฃାࡌࠢ࠻࡞ࠍቯᢙ▎ᚲෳᾖߔࠆᜰᢙࠝ࡯࠳࡯ߩ╓ภ⺆㐳ࠍᜬߟዪᚲ
⊛ᓳภน⢻╓ภߩ᭴ᚑᴺ߇⍮ࠄࠇߡ޿ߚ߇‫ᦨޔ‬ㄭ‫'ޔ‬HTGOGPMQ ߪ‫ޔ‬ฃାࡌࠢ࠻࡞ࠍቯᢙ
▎ᚲෳᾖߔࠆḰᜰᢙࠝ࡯࠳࡯ߩ╓ภ⺆㐳ࠍᜬߟዪᚲ⊛ᓳภน⢻╓ภߩ᭴ᚑᴺࠍឭ᩺ߒߚ‫ޕ‬ౕ૕⊛ߦߪ‫ ࠆߥ⇣ޔ‬r ! 1 ୘ߩᄸ⚛ᢙߩⓍ߆ࠄߥࠆวᚑᢙ m ߦኻߒߡ․ቯߩ᧦ઙࠍḩߚߔ㓸ว S m ࠍቯ߼‫ޔ‬㓸ว S m ߦኻߒߡ S m ㆡวࡌࠢ࠻࡞ᣖߣ S m ᓳภᄙ㗄ᑼࠍዉ౉ߔࠆߎ
rߣߦࠃࠅ‫ޔ‬ෳᾖᢙ߇ 2 ߢ╓ภ㐳߇ N (r ) ߩዪᚲ⊛ᓳภน⢻╓ภࠍ᭴ᚑߒߚ‫ ߒߛߚޕ‬N (r )ߪએਅߢਈ߃ࠄࠇࠆ߽ߩߣߔࠆ‫ޕ‬N (r )
ߐࠄߦ⇣ߥࠆ 2 ߟߩᄸ⚛ᢙߩⓍ m

11 / rexp n O ((log log n / log n ))

511 7  73 ߦኻߒߡ‫ޔ‬ෳᾖᢙ߇ 3 ߢ╓ภ㐳 N ( 2) ߢ޽ࠆዪᚲᓳภน⢻╓ภ߇᭴ᚑน⢻ߢ޽ࠆߎߣࠍ␜ߒߚ‫⺰ᧄޕ‬ᢥߢߪ‫ޔ‬ዪᚲ⊛ᓳภน⢻╓ภߩวᚑቯℂߣߒߡ‫ޔ‬એਅߩ੐ታࠍ␜ߒߚ‫ޕ‬z ⇣ߥࠆ s ! 1 ୘ߩᄸ⚛ᢙߩⓍࠍ m1 ‫ ࠆߥ⇣ޔ‬t ! 1 ୘ߩᄸ⚛ᢙߩⓍ m 2 ߣߔࠆ‫ߣߩߎޕ‬1 ߢ޽ࠆߥࠄ‫ޔ‬ෳᾖᢙ߇ 2 s ߢ╓ภ㐳߇ N (s) ߩዪᚲ⊛ᓳภน⢻╓tstภ C1 ߣෳᾖᢙ߇ 2 ߢ╓ภ㐳߇ N (t ) ߩዪᚲ⊛ᓳภน⢻╓ภ C 2 ߆ࠄෳᾖᢙ߇ 2 ߢ╓ภ㐳߇ N (st ) ߩዪᚲ⊛ᓳภน⢻╓ภ C ߇᭴ᚑน⢻ߢ޽ࠆ߈ gcd(m1 , m 2 )ߐࠄߦᣢሽߩ⚿ᨐߣวᚑቯℂ߆ࠄ‫ޔ‬એਅߩ੐ታࠍዉ಴ߒߚ‫ޕ‬ ⇣ߥࠆ 2 ߟߩᄸ⚛ᢙߩⓍ m

2047

23  89 ߦኻߒߡ‫ޔ‬ෳᾖᢙ 3 ߢ╓ภ㐳߇ N (2) ߩዪᚲᓳภน⢻╓ภ߇᭴ᚑน⢻ߢ޽ࠆ‫ޕ‬ ⇣ߥࠆ r ! 3 ୘ߩᄸ⚛ᢙߩⓍ m ߦኻߒߡ‫ޔ‬ෳᾖᢙ߇ 3  2

r 2ߢ╓ภ㐳߇ N (r ) ߩዪᚲr 4ߢ╓ภ㐳߇ N (r ) ߩዪᚲᓳภน⢻╓ภߩ᭴ᚑน⢻ߢ޽ࠆ‫ޕ‬ ⇣ߥࠆ r ! 5 ୘ߩᄸ⚛ᢙߩⓍ m ߦኻߒߡ‫ޔ‬ෳᾖᢙ߇ 9  2ᓳภน⢻╓ภߩ᭴ᚑน⢻ߢ޽ࠆ‫ޕ‬ߐࠄߦ‫ߩࠄࠇߎޔ‬ዪᚲᓳภน⢻╓ภࠍࡊ࡜ࠗࡃࠪ࡯ࠍ⠨ᘦߒߚ k ࠨ࡯ࡃᖱႎ₪ᓧࡊࡠ࠻101ࠦ࡞ k 5GTXGT2TKXCVG+PHQTOCVKQP4GVTKGXCN k 2+4 ߦᄌ឵ߒ k 2+4 ߩㅢା㊂߇ᄢ᏷ߦᡷༀߐࠇࠆߎߣࠍ᣿ࠄ߆ߦߒߚ‫ޕ‬ଔᩰ⸳ቯ໧㗴ߦ㑐ߔࠆ⎇ⓥ‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬୘‫ߩޘ‬㘈ቴ߇․ቯߩ໡ຠ⟲ߦ⾼౉੍ቯଔᩰࠍឭ␜ߒߡ޿ࠆ⁁ᴫࠍ⠨߃ࠆ‫ޕ‬໡ຠଏ⛎⠪߇‫ޔ‬ฦ໡ຠߩ⽼ᄁଔᩰࠍ⸳ቯߒߚ႐ว‫ޔ‬㘈ቴߪ⾼౉Ꮧᦸ໡ຠ⟲ߩ⽼ᄁଔᩰߩว⸘߇⾼౉Ꮧᦸ㊄㗵ࠍ਄࿁ࠄߥ޿႐วߪߘߩ໡ຠ⟲ࠍ⾼౉ߒ‫ޔ‬਄࿁ࠆ႐วߪ⾼౉ߒߥ޿߽ߩߣߔࠆ‫ߎޕ‬ߩࠃ߁ߥ⁁ᴫߩਅߢ‫ޔ‬໡ຠଏ⛎⠪ߪ೑⋉߇ᦨᄢߣߥࠆࠃ߁ߦ୘‫ߩޘ‬໡ຠߩ⽼ᄁଔᩰࠍ᳿
ቯߔࠆᔅⷐ߇޽ࠆ‫ޕ‬໡ຠߩ⽼ᄁଔᩰߦ㑐ߒߡ‫ޔ‬໡ຠߩේଔࠍਅ࿁ࠆ⽼ᄁଔᩰࠍ⸵ߐߥ޿
႐วࠍᱜଔᩰࡕ࠺࡞‫ޔ‬໡ຠߩේଔࠍਅ࿁ࠆ⽼ᄁଔᩰ߇⸵ߐࠇࠆ႐วࠍഀᒁࡕ࠺࡞‫ޔ‬໡ຠߩේଔࠍਅ࿁ࠆ⽼ᄁଔᩰ߇⸵ߐࠇࠆ߇໡ຠ⟲ో૕ߢߩ៊ᄬࠍ⸵ߐߥ޿႐วࠍ㕖⽶ഀᒁࡕ࠺࡞ߣ๭߱‫ޔߦߢ߹ࠇߎޕ‬ഀᒁࡕ࠺࡞߅ࠃ߮㕖⽶ഀᒁࡕ࠺࡞౒ߦᕈଔᩰࡕ࠺࡞ߣᲧセߒߚ႐ว‫ࠅࠃޔ‬ᄙߊߩ೑⋉ࠍ໡ຠଏ⛎⠪ߦ߽ߚࠄߔߎߣ߇⍮ࠄࠇߡ޿ࠆ‫ޕ‬ᧄ⎇ⓥߢߪ‫ޔ‬ฦ໡ຠࠍ▵ὐ‫ޔ‬ฦ㘈ቴࠍ㊀ߺઃ߈ߩᨑߣ⷗஖ߔߎߣߦࠃࠅ໡ຠଔᩰ⸳ቯ
໧㗴ࠍ㊀ߺઃ߈ࠣ࡜ࡈߣߒߡቯᑼൻߒ‫ߩߘޔ‬ᒻ⁁ߦᔕߓߡ‫⥄ޔ‬Ꮖᨑࠍ⸵ߔࠣ࡜ࡈଔᩰ⸳
ቯ໧㗴‫⥄ޔ‬Ꮖᨑࠍ⸵ߐߥ޿ࠣ࡜ࡈଔᩰ⸳ቯ໧㗴‫⥄ޔ‬Ꮖᨑࠍ⸵ߐߥ޿ੑㇱࠣ࡜ࡈଔᩰ⸳ቯ
໧㗴‫ޔ‬ੑㇱ৻ᣇะ㜞ㅦ㆏〝໧㗴‫⁁✢ޔ‬㜞ㅦ㆏〝໧㗴‫ޔ‬Ⅳ⁁㜞ㅦ㆏〝໧㗴ߦಽ㘃ߒߚ‫ߘޕ‬ߒߡ‫߇ࠄࠇߘޔ‬੕޿ߦᄙ㗄ᑼᤨ㑆ߢㄭૃ଻ሽㆶర #RRTQZKOCVKQP2TGUGTXKPI4GFWEVKQPน⢻ߢ޽ࠆߎߣࠍ␜ߒߚ‫ޕ‬߹ߚ‫ᦨޔ‬ᄢ⾼౉Ꮧᦸ㊄㗵ᦨዊ⾼౉Ꮧᦸ㊄㗵ߣߩᲧࠍ r ߣߒߚ႐วߦ‫ߩߎޔ‬ᄙ㗄ᑼᤨ㑆ㄭૃ଻ሽㆶరน⢻ᕈࠍ↪޿ߡ‫ޔ‬㕖⽶ഀᒁࡕ࠺࡞ߩਅߢ‫ߩࠄࠇߎޔ‬ଔᩰ⸳ቯ໧㗴ߦኻߒߡ‫ޔ‬એਅߩࠃ߁ߥㄭૃࠕ࡞ࠧ࡝࠭ࡓ߇⸳⸘น⢻ߢ޽ࠆߎߣࠍ␜ߒߚ‫ޕ‬ ⥄Ꮖᨑࠍ⸵ߐߥ޿ࠣ࡜ࡈଔᩰ⸳ቯ໧㗴ߪ (1  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬ ⥄Ꮖᨑࠍ⸵ߔࠣ࡜ࡈଔᩰ⸳ቯ໧㗴ߪ (2  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬ ⥄Ꮖᨑࠍ⸵ߐߥ޿ੑㇱࠣ࡜ࡈଔᩰ⸳ቯ໧㗴ߪ (1  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬ ✢⁁㜞ㅦ㆏〝໧㗴ߪ 4(1  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬ Ⅳ⁁㜞ㅦ㆏〝໧㗴ߪ 4(1  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬ߐࠄߦ‫⸃ߥ⚦⹦ࠅࠃޔ‬ᨆߦࠃࠅ‫⥄ޔ‬Ꮖᨑࠍ⸵ߔࠣ࡜ࡈଔᩰ⸳ቯ໧㗴ߦኻߒߡ‫ޔ‬એਅߩㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍ⸳⸘ߒߚ‫ޕ‬ ⥄Ꮖᨑࠍ⸵ߔࠣ࡜ࡈଔᩰ⸳ቯ໧㗴ߪ (3 / 2  ln r ) ㄭૃࠕ࡞ࠧ࡝࠭ࡓࠍᜬߟ‫ޕ‬‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1) Toshiya Itoh and Yasuyuki Suzuki: New Constructions for Query-Efficient
Locally Decodable Codes of Subexponential Length, arXiv:0810.4576, 2008.
2) Ryoso Hamane, Toshiya Itoh, and Kouhei Tomita: Approximation Preserving
Reductions among Item Pricing Promlems, IEICE Trans. on Information and
Systems, Vol.E92-D, No.2, pp.149-157, 2009.
102ᢎ᝼ ᮮ↰ ᴦᄦ㧔ᖱႎ⫾Ⓧ࡮ᵴ↪ಽ㊁㧕ല₸⊛ߥᄢኈ㊂࠺࡯࠲▤ℂߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᖱႎൻ␠ળߦᔅⷐਇนᰳߣߥࠆ㜞ା㗬ߢ㜞ᕈ⢻ߥᄢኈ㊂ߩᖱႎࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓࠍኻ⽎ߦ‫ޔ‬ല₸⊛ߥ࠺࡯࠲▤ℂߦ㑐ߔࠆ⎇ⓥࠍⴕߞߡ޿ࠆ‫ޕ‬ᄢኈ㊂ൻߦ઻߁▤ℂࠦࠬ࠻ࠍૐᷫߔࠆߚ߼‫ࠬޔ‬࠻࡟࡯ࠫⵝ⟎⥄૕ࠍࠗࡦ࠹࡝ࠫࠚࡦ࠻ൻߒߡ‫ߡ޿߅ߦࡓ࠹ࠬࠪࠫ࡯࡟࠻ࠬߊߥߢ࠻ࡦࠕࠗ࡜ࠢޔ‬ߢ⠴᡿㓚ಣℂ‫࡝ࡃࠞ࡝ޔ‬ಣℂ‫⩄⽶ޔ‬ಽᢔಣℂ╬ࠍ⥄ᓞ⊛ߦⴕ߁ࠕࡊࡠ࡯࠴ࠍߣࠅ‫ߩߘޔ‬ታ⃻ߩߚ߼ߩ᭽‫ߥޘ‬ᚻᴺߩឭ᩺ࠍⴕߞߡ߈ߚ‫ޕ‬ᧄ⎇ⓥ࠹࡯ࡑߪ‫ޔ‬ᐔᚑ 14 ᐕᐲ߆ࠄ᧲੩Ꮏᬺᄢቇࠗࡁࡌ࡯࡚ࠪࡦ⎇ⓥផㅴ૕ߦᛚ⹺ߐࠇߡ⎇ⓥࠍⴕ޿‫ޔ‬ᐔᚑ 15 ᐕᐲ߆ࠄߪ⁛┙ⴕ᡽ᴺੱ⑼ቇᛛⴚᝄ⥝ᯏ᭴㧔JST㧕ߩᚢ⇛⊛ഃㅧ⎇ⓥផㅴ੐ᬺ
CREST ࠲ࠗࡊ‫ޟ‬ᖱႎ␠ળࠍᡰ߃ࠆᣂߒ޿㜞ᕈ⢻ᖱႎಣℂᛛⴚ‫⎇ޠ‬ⓥ㗔ၞߩ⎇ⓥ⺖㗴‫ࡦࡍࠖ࠺ޟ‬࠳ࡉ࡞ߢ㜞ᕈ⢻ߥవㅴࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓ‫߽ߡߒߣޠ‬ណᛯߐࠇߚ‫ޕ‬CREST ߩࡊࡠࠫࠚࠢ࠻ߪᐔ
ᚑ 20 ᐕᐲᧃ㧔21 ᐕ 3 ᦬㧕ࠍ߽ߞߡ⚳ੌߔࠆ߇‫੹ޔ‬ᓟ߽⛮⛯⊛ߦ⎇ⓥࠍⴕߞߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬
ᐔᚑ 20 ᐕᐲߩਥߚࠆᚑᨐߣߒߡߪ‫▤ࠫ࡯࡟࠻ࠬޔ‬ℂߩ৻ߟߣߒߡ‫⟎ⵝࠫ࡯࡟࠻ࠬޔ‬஥ߢᥧภൻ
ࠍⴕߞߡ࠮ࠠࡘ࡝࠹ࠖࠍ⏕଻ߔࠆᚻᴺߦ߅޿ߡ‫⼔଻ޔ‬ኻ⽎ߩࠣ࡞࡯ࡊߩࡔࡦࡃ࡯ߦᄌᦝ߇޽ߞߚ
႐วߦ‫ޔ‬ല₸ࠃߊ቟ోߦౣᥧภൻࠍⴕ߁ᚻᴺࠍឭ᩺ߒ‫⹏ޔ‬ଔࠍⴕߞߚ‫ޕ‬㜞ା㗬ൻߩߚ߼ߩ࡝ࡊ࡝
ࠞࠍ᦭ല೑↪ߒߡ⇣ߥࠆᥧภ㎛ߢ࡝ࡊ࡝ࠞࠍᥧภൻߒ‫ߩߘޔ‬ಣℂࠍㆃᑧߐߖࠆߎߣߢ‫ޔ‬ᕈ⢻ߣ቟ోᕈ߅߅߮ା㗬ᕈࠍਔ┙ߐߖࠆߎߣ߇ߢ߈ࠆߎߣࠍ␜ߒߚ‫ޔઁߩߘޕ‬CREST ߩ⎇ⓥᦼ㑆ਛߩ᭽‫ޘ‬ߥᚑᨐߩ߹ߣ߼ࠍⴕߞߚ‫ޕ‬:/. ߩ⫾Ⓧߣᬌ⚝ߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬
ฦ⒳ᖱႎߩ⸥ㅀᒻᑼߣߒߡ XML ߇᥉෸ߒߡ߈ߚߎߣߦࠃࠅ‫ޔ‬XML ߢ⸥ㅀ࡮⫾Ⓧߐࠇࠆ࠺࡯࠲
㊂߽Ꮒᄢൻߒߡ޿ࠆ‫ޔ߼ߚߩߎޕ‬ല₸ߩࠃ޿ XML ߩ⫾Ⓧߣᬌ⚝ᚻᴺ߇᳞߼ࠄࠇߡ޿ࠆ‫߹ࠇߎޕ‬ߢ‫ޔ‬XML ߢ⸥ㅀߐࠇߚඨ᭴ㅧ࠺࡯࠲߳ߩࠕࠢ࠮ࠬߣߒߡ‫ޔ‬XML ߩࡁ࡯࠼߳ߩ࡜ࡌ࡝ࡦࠣᚻᴺࠍ
ឭ᩺ߔࠆߣหᤨߦ‫ޔ‬ᓥ᧪ᢥᦠᬌ⚝ߦ↪޿ࠄࠇߡ޿ߚࠬ࡯ࡄ࡯ࠗࡦࡐ࡯࠭࠼ࠦ࡯࠼ߦࠃࠆ XML ᬌ⚝↪ߩ⚝ᒁᚻᴺࠍឭ᩺ߒߡ߈ߚ‫ ࠆߥ⇣ޔߚ߹ޕ‬XML ᢥᦠߩ⛔ว߿ᦝᣂㇱಽߩ್ቯߩߚ߼ߦ‫ޔ‬㘃ૃ XML ㇱಽᧁࠍല₸ࠃߊᬌ಴ߔࠆᚻᴺߦ㑐ߒߡ߽⎇ⓥࠍ⊒ዷߐߖߡ߈ߚ‫ޕ‬
ᐔᚑ 20 ᐕᐲߩᚑᨐߣߒߡ‫ޔ‬XML ᬌ⚝ߦ߅޿ߡ‫ࠅࠃޔ‬ㆡಾߥㇱಽᧁࠍ಴ജߔࠆߚ߼ߦ‫ޔ‬VLCA(Valuable Lowest Common Ancestor) ࠍല₸ࠃߊᬌ⚝ߔࠆᚻᴺߦߟ޿ߡឭ᩺ࠍⴕ޿‫⹏ޔ‬ଔࠍⴕߞߚ‫ޕ‬VLCA ߪ‫ࠍ࠼࡯ࡢ࡯ࠠޔ‬฽߻⪲ࡁ࡯࠼߆ࠄోࠠ࡯ࡢ࡯࠼ߩ౒ㅢߩⷫߦ⥋ࠆࡄࠬ਄ߦห৻ߩ࠲
ࠣฬ߇ሽ࿷ߒߥ޿ߎߣࠍ್ቯߔࠆᔅⷐ߇޽ࠆ‫ޕ‬ታ㓙ߩ XML ᢥᦠਛߩ࠲ࠣߩ⒳㘃߇ߘࠇ߶ߤᄙߊ
ߥ޿ߎߣߦ⌕⋡ߒ‫ߩࠣ࠲ޔ‬⒳㘃ߏߣߦ bit ࠍഀࠅᒰߡࠆߎߣߢ‫ޔ‬㜞ㅦߦ VLCA ࠍ್ቯߔࠆᚻᴺࠍ
ታⵝߒ‫ޔ‬ᓥ᧪ߩᚻᴺߣᲧセߒߡലᨐࠍ⏕⹺ߒߚ‫ޔߚ߹ޕ‬㘃ૃ XML ㇱಽᧁߩᬌ಴ߦ߅޿ߡ‫♖ޔ‬ᐲะ਄ߩߚ߼ߦ㘃⟵⺆ㄉᦠࠍ↪޿ߚ႐วߩಣℂߩല₸ൻߦ㑐ߒߡᚻᴺࠍឭ᩺ߒ‫ޔ‬ታ㓙ߩ XML ᢥᦠߦㆡ↪ߒߡߘߩലᨐࠍ⏕⹺ߒߚ‫ޕ‬103ࠕࠢ࠮ࠬࡠࠣߦၮߠߊࡈࠔࠗ࡞ᬌ⚝㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ㄭᐕ‫ޔ‬ᖱႎⅣႺߩᢛ஻ߦ઻޿‫ޔ‬୘ੱ߿⚵❱ߩᜬߟࡈࠔࠗ࡞߇῜⊒⊛ߦჇടߒߡ޿ࠆ߇‫ߩߘޔ‬ਛ߆ࠄᔅⷐߥࡈࠔࠗ࡞ࠍ⷗ߟߌߛߔߎߣߪኈᤃߢߪߥ޿‫ޔߪߢࡓ࠹ࠬࠪࠣࡦࠖ࠹࡯࡟ࡍࠝߩ⥸৻ޕ‬㓏ጀ⊛ߥࡈࠔࠗ࡞࠺ࠖ࡟ࠢ࠻࡝᭴ㅧࠍឭଏߒߡ޿ࠆ߇‫ⶄޔ‬ᢙߩ೑↪⠪ߦࠃࠆ౒ㅢߩ⹺⼂ߦၮߠߊ᭎ᔨ⊛ߥ㓏ጀ᭴ㅧߩឭଏߪ㔍ߒߊ‫ޔ‬୘ੱߢ޽ߞߡ߽ᤨ㑆ߣߣ߽ߦ᭎ᔨ㓏ጀ߇ᄌൻߒߚࠅ‫ޔ‬ᔓළߒߚࠅߒߡ‫ޔ‬ᔅⷐߣߔࠆࡈࠔࠗ࡞ߩ࠺ࠖ࡟ࠢ࠻࡝ߦߪߥ߆ߥ߆೔㆐ߢ߈ߥ޿‫ࠢࠬ࠺ޔߦ߼ߚߩߎޕ‬࠻࠶ࡊࠨ࡯࠴࠷࡯࡞߇ឭଏߐࠇࠆࠃ߁ߦߥߞߡ߈ߚ߇‫ࠍ࠼࡯ࡢ࡯ࠠޔ‬฽߹ߥ޿ࡈࠔࠗ࡞ࠍᬌ⚝ߔࠆ႐ว߿⊛⏕ߥࠠ࡯ࡢ࡯࠼ࠍᕁ޿಴ߖߥ޿႐วߦߪᬌ⚝⚿ᨐߪḩ⿷ߢ߈ࠆ߽ߩߢߪߥ޿‫ޕ‬ߘߎߢ‫ޔ‬୘ੱߩ૞ᬺߦ߅޿ߡࡈࠔࠗ࡞ߩ૶↪ᤨߦหᤨߦ㐿߆ࠇߡ޿ߚઁߩࡈࠔࠗ࡞ߣߩ㑐ㅪᐲࠍ▚಴ߒߡ‫ޔ‬㑐ㅪߔࠆࡈࠔࠗ࡞ࠍᬌ⚝ߔࠆᚻᴺࠍឭ᩺ߒ‫ޔ‬ታ㛎ࠪࠬ࠹ࡓࠍ⹜૞ߒߡ⹏ଔࠍⴕߞߚ‫ޕ‬ࡈࠔࠗ࡞㑆ߩ㑐ㅪᐲࠍ▚಴ߔࠆߚ߼ߦ‫ࠬ࠮ࠢࠕߩ࡞ࠗࠔࡈޔ‬ጁᱧࠍ⸃ᨆߒ‫࠼࡯ࡢ࡯ࠠޔ‬ᬌ⚝ߩ⚿ᨐߣ㑐ㅪߩᒝ޿ࡈࠔࠗ࡞ࠍឭ␜ߔࠆᣇᴺ߿‫ޔ‬㑐ㅪᐲߩ㜞޿ࡈࠔࠗ࡞⟲ࠍ઒ᗐࡈࠜ࡞࠳ߣߒߡឭଏ
ߔࠆᣇᴺࠍឭ᩺ߒߡ޿ࠆ‫⎇ᧄޕ‬ⓥౝኈߪ‫ޔ‬JST ߩᛛⴚ⒖ォផㅴ੐ᬺߩ‫߽ߦޠߺߊߒߋߥߟޟ‬ណᛯߐࠇߡ޿ࠆ‫ޕ‬ቇⴚࠦࡦ࠹ࡦ࠷ᬌ⚝ߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᄢቇౝߦᢔ࿷ߔࠆᢎ⢒߿⎇ⓥߦ㑐ߔࠆ᭽‫ߥޘ‬ቇⴚࠦࡦ࠹ࡦ࠷ࠍ⫾Ⓧߒ‫ޔ‬ᬌ⚝ߔࠆߚ߼ߩᯏ⢻ߩឭଏߦ㑐ߒߡ⎇ⓥࠍⴕߞߡ޿ࠆ‫৻ߩߘޕ‬Ⅳߣߒߡ‫⻠࡮⟵⻠ޔ‬Ṷ↪ࡊ࡟࠯ࡦ࠹࡯࡚ࠪࡦ⾗ᢱ㧔ࠬ࡜ࠗ࠼㧕ߣ⻠⟵࡮⻠Ṷߩ᭽ሶࠍ㍳↹ߒߚࡆ࠺ࠝࠍหᦼߐߖߡ⫾Ⓧߒߚ⻠⟵࡮⻠Ṷࠦࡦ࠹ࡦ࠷ߦኻߔ
ࠆᬌ⚝ࠍⴕ߁ UPRISE ߩ⎇ⓥ㐿⊒ࠍⴕߞߡ߈ߚ‫⎇ޔߚ߹ޕ‬ⓥߦ㑐ߔࠆ⺰ᢥ߿․⸵ߦኻߔࠆᬌ⚝ᯏ⢻ߩᬌ⸛߽ⴕ޿‫ޔ‬ቇౝߩ⎇ⓥ࡝ࡐࠫ࠻࡝ߢ޽ࠆ T2R2 ߩᬌ⚝ᯏ⢻╬ߦᵴ߆ߒߡ޿ࠆ‫ޕ‬⻠⟵ࠦࡦ࠹ࡦ࠷ߢߪ‫ޔ‬หߓࠬ࡜ࠗ࠼߇ⶄᢙߩ⻠⟵ߢ૗࿁߽ౣ೑↪ߐࠇࠆߎߣ߿‫ޔ‬หߓ⻠⟵ਛߦ߽ࡃ࠶ࠢ࠻࡜࠶ࠢߐࠇߡ೑↪ߐࠇࠆߎߣ߇ᄙ޿‫ߩ࠼ࠗ࡜ࠬޔ߼ߚߩߎޕ‬ᢥሼᖱႎߛߌߢߪ‫᧪ᧄޔ‬តߒߚ޿⺑᣿ࠪ࡯ࡦࠍ⷗ߟߌߛߔߎߣ߇ߢ߈ߥ޿‫࠼ࠗ࡜ࠬޔߢߎߘޕ‬ਛߩࠠ࡯ࡢ࡯࠼ߩ಴⃻૏⟎߿㗫ᐲ‫ߩ࠼ࠗ࡜ࠬޔ‬ឭ␜ᤨ㑆‫ޔ‬೨ᓟߩࠬ࡜ࠗ࠼ឭ␜ߣߩ㑐ଥ╬ߩᖱႎࠍ೑↪ߒ‫ޔ‬ㆡಾߥࠬ࡜ࠗ࠼
ࠍ᛽಴ߔࠆᣇᴺࠍᬌ⸛ߒߡ߈ߚ‫ޔߚ߹ޕ‬㐳ᤨ㑆ߦࠊߚࠆ⻠⟵ࠍᦨೋ߆ࠄᦨᓟ߹ߢ⷗ࠆ೨ߦ‫⚦⹦ޔ‬ߦ⷗ࠆ⻠⟵ࠍ⛉ࠅㄟ߻ߚ߼ߦ⻠⟵ߩⷐὐࠍ᭎ⷰߢ߈ࠆࠃ߁ߦ‫ߩ߼ߚࠆߔ⚂ⷐࠍ࠷ࡦ࠹ࡦࠦ⟵⻠ޔ‬ᚻᴺߦ㑐ߒߡ߽ᬌ⸛ߒ‫ޔ‬ታ㓙ߦታ㛎ࠪࠬ࠹ࡓࠍ⹜૞ߒ‫⹏ޔ‬ଔࠍⴕߞߡ޿ࠆ‫ޕ‬
ᐔᚑ 20 ᐕᐲߪ‫ⶄޔ‬ᢙߩ⻠Ṷࠦࡦ࠹ࡦ࠷ࠍ⫾Ⓧߒߚ⻠Ṷࠕ࡯ࠞࠗࡉࠬ߆ࠄࠠ࡯ࡢ࡯࠼ߦ㑐ㅪߔࠆ⻠Ṷࠦࡦ࠹ࡦ࠷ࠍ‫ޔ‬ᜰቯߒߚᤨ㑆ౝߦ෼߹ࠆ࠳ࠗࠫࠚࠬ࠻ߣߒߡឭଏߔࠆᯏ⢻ߦ㑐ߒߡ⎇ⓥࠍⴕߞߚ‫ޕ‬ታ㓙‫ޔ‬ᣣᧄ࠺࡯࠲ࡌ࡯ࠬቇળߢߪ‫ޔ‬2003 ᐕ߆ࠄ 2008 ᐕ߹ߢߩࡢ࡯࡚ࠢࠪ࠶ࡊߢߩ⊒⴫ࠬ࡜ࠗ࠼ߣߘߩࡆ࠺ࠝࠍ⻠Ṷࠕ࡯ࠞࠗࡉߣߒߡ 1000 ઙએ਄⫾Ⓧߒឭଏߒߡ޿ࠆ‫ޕ‬
ឭ᩺ᚻᴺߢߪ‫ޔ‬߹ߕࠠ࡯ࡢ࡯࠼ߦว⥌ߔࠆ⻠Ṷࠦࡦ࠹ࡦ࠷ࠍ࡜ࡦࠠࡦࠣߒ‫ޔ‬਄૏ߩ⻠Ṷࠦࡦ࠹ࡦ࠷߆ࠄ⻠Ṷࠦࡦ࠹ࡦ࠷ߩ․ᓽࠍ⠨ᘦߒߡ㊀ⷐߥࠪ࡯ࡦࠍ᛽಴ߒ‫ޔ‬㧝ߟߩ⻠Ṷߩ࠳ࠗࠫࠚࠬ࠻߇⍴ߊߥࠅߔ߉ߥ޿
ࠃ߁ߦ⺞ᢛߒߥ߇ࠄߢ߈ࠆߛߌᄙߊߩࠦࡦ࠹ࡦ࠷ࠍቯ߼ࠄࠇߚᤨ㑆ౝߦ෼߼ߡឭଏߔࠆ‫ޕ‬104‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬ዊᨋᄢᮮ↰ᴦᄦ‫⩄⽶ޟ‬ᄌേߣᔕ╵ᕈ⢻⛽ᜬࠍ⠨ᘦߒߚ㜞น↪ਗ೉ࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓ
ߩߚ߼ߩⶄ⵾೑↪ߣᦝᣂⷐ᳞೙ᓮ‫ޠ‬ᖱႎಣℂቇળᖱႎಣℂቇળ⺰ᢥ⹹8QN0Q
RR

ട⮮⧷ਯዊᨋ㓉ᔒᮮ↰ᴦᄦ‫ޟ‬1:6*#59GD ࠨ࡯ࡆࠬࡌ࡯ࠬߩࡢ࡯ࠢࡈࡠ࡯▤ℂߦ߅
ߌࠆ㓚ኂࠍ⠨ᘦߒߚ⽶⩄ಽᢔᚻᴺ‫ޠ‬㔚ሶᖱႎㅢାቇળ㔚ሶᖱႎㅢାቇળ๺ᢥ⺰ᢥ⹹㧔㧰㧕8QN,&0QRR



ศ㊁ᖘੑ᪞ᢥᣂᮮ↰ᴦᄦ‫ޟ‬ㇱಽᧁᬌ⚝ߩߚ߼ߩ⿛ᩏߣ⚿ᨐ᭴▽ࠦࠬ࠻ࠍ⠨ᘦߒ
ߚ :/. ಽഀ㈩⟎ߣ૏⟎ᖱႎขᓧᚻᴺ‫ޠ‬ᣣᧄ࠺࡯࠲ࡌ࡯ࠬቇળᣣᧄ࠺࡯࠲ࡌ࡯ࠬቇળ⺰
ᢥ⹹8QN0QRR

࠼࠙ࡦࠧࡈ࠘ࡦൎጊ⵨⋥੗⡡ᮮ↰ᴦᄦ‫ޟ‬9GDࠨ࡯࠴ࠍᵴ↪ߒߚ 68࠹ࡠ࠶ࡊ⹺⼂₸ะ਄ᚻᴺ‫ޠ‬㔚ሶᖱႎㅢାቇળାቇᛛႎ8QN0QRR



;CPI;CPI9W3KPI.GK&WCP5JGPI%JGP*CTWQ;QMQVC#/GVJQFQH&KUEQXGTKPI
4GNCVKQP+PHQTOCVKQPHTQO:/.&CVC,QWTPCNQH5QHVYCTG,QWTPCNQH5QHVYCTG8QN0QRR

ᨋ⋥ੱችਅ⧷৻ർේᶻⴕዊ㊁⵨᣿┙⍹ẖખ⼱ᢥ㓶᭏㑆ඳᮮ↰ᴦᄦ᧼၂ᶈ‫ޠࠫ࡯࡟࠻ࠬࠕࠖ࠺ࡔ࠴࡞ࡑޟ‬ᤋ௝ᖱႎࡔ࠺ࠖࠕቇળᤋ௝ᖱႎࡔ࠺ࠖࠕቇ
ળ⹹8QN0QRR

9GPZKP.KCPI*CTWQ;QMQVC'ZRNQKVKPI2CVJ+PHQTOCVKQPHQT5[PVCZDCUGF:/.
5WDVTGG/CVEJKPIKP4&$U2TQEQH+PVGTPCVKQPCN%QPHGTGPEGQP9GD#IG+PHQTOCVKQP/CPCIGOGPV 9#+/ RR



&Q0IQE*70);WVCMC-#657;#/#5CVQUJK0#1+*CTWQ;1-16#+ORTQXGOGPVQH6GNQR
4GEQIPKVKQP3WCNKV[D[+PVGITCVKPI9GD5GCTEJ4GUWNVU2TQEQH8.&$9QTMUJQRU
06++ RR



*KGW*CPJ.'6JKVKRQTP.'46475&#%*#-7.6GVUWVCTQ9#6#0#$'*CTWQ;QMQVC
#WVQOCVKE&KIGUV)GPGTCVKQPD['ZVTCEVKPI+ORQTVCPV5EGPGUHTQOVJG%QPVGPVQH
2TGUGPVCVKQPU2TQEQH&':#9QTMUJQRU #+'/2TQ  +'''%QORWVGT5QEKGV[RR ᱞㇱᶈ᣿ዊỈᙗ⑺ൎጊ⵨ᮮ↰ᴦᄦ⋥੗⡡‫ޟ‬ᢥሼ⹺⼂ᛛⴚࠍ೑↪ߒߚ⻠⟵േ↹ߩࠬ࡜ࠗ࠼หቯ‫ޠ‬㔚ሶᖱႎㅢାቇળ㔚ሶᖱႎㅢାቇળ⺰ᢥ⹹㧔㧰㧕8QN,&0Q
RR
 9GPZKP.KCPI*CTWQ;QMQVC5[PVCZDCUGF:/.5WDVTGG/CVEJKPICPF+PVGITCVKQP

+'+%'6GEJKPKECN4GRQTV+'+%'&'
 9GPZKP.KCPI6CMGUJK/KMK*CTWQ;QMQVC5WRGTKORQUGF%QFG$CUGF+PFGZKPI/GVJQF

HQT'ZVTCEVKPI/%6UHTQO:/.&QEWOGPVU&CVCDCUGCPF'ZRGTV5[UVGOU#RRNKECVKQPU

105

QH.0%5 2TQEQH&':# 5RTKPIGT$GTNKP*GKFGNDGTI8QNRR
 㜞ጊ৻᮸ᮮ↰ᴦᄦ㧘‫ޟ‬ᐔᢥࠍ↢ᚑߒߥ޿ಽᢔࠬ࠻࡟࡯ࠫ਄ߢߩౣᥧภൻᚻᴺߩឭ᩺‫ޠ‬㧘ᖱႎಣℂቇળᖱႎಣℂቇળ࠺࡯࠲ࡌ࡯ࠬࠪࠬ࠹ࡓ⎇ⓥળ⎇ⓥႎ๔&$5RR

 6GVUWVCTQ9CVCPCDG6CMCUJK-QDC[CUJK*CTWQ;QMQVC#/GVJQFHQT5GCTEJKPI-G[YQTFNCEMKPI(KNGU$CUGFQP+PVGTHKNG4GNCVKQPUJKRU2TQEQHVJ+PVN%QPH%QQRGTCVKXG+PHQTOCVKQP5[UVGOU %QQR+5 5RTKPIGT$GTNKP*GKFGNDGTIRR
 㜞ጊ৻᮸ᮮ↰ᴦᄦ㧘‫ޟ‬ᐔᢥࠍ↢ᚑߒߥ޿ಽᢔࠬ࠻࡟࡯ࠫ਄ߢߩౣᥧภൻᚻᴺ‫ޠ‬㧘ᣣᧄ࠺࡯࠲ࡌ࡯ࠬቇળᣣᧄ࠺࡯࠲ࡌ࡯ࠬቇળ⺰ᢥ⹹8QN0QRR ዊ↰ಾஜ৻ᷰㄝ㓁੺ᮮ↰ᴦᄦ㧘‫ࠬ࠮ࠢࠕޟ‬ጁᱧߦၮߠߊࡈࠔࠗ࡞㑆㑐ㅪᐲࠍ↪޿ߚ࠺ࠬࠢ࠻࠶ࡊᖱႎ▤ℂ࠷࡯࡞ߩ㐿⊒‫ޠ‬㧘㔚ሶᖱႎㅢାቇળ㔚ሶᖱႎㅢାቇળାቇᛛႎ0Q
RR
 0GKNC$GP.CMJCN6CMCUJK-QDC[CUJK*CTWQ;QMQVC('0'%+#HCKNWTGGPFWTCDNG

PGUVGFVTCPUCEVKQPDCUGFGZGEWVKQPQHEQORQUKVG9GDUGTXKEGUYKVJKPEQTRQTCVGFUVCVG
CPCN[UKU6JG8.&$,QWTPCN5RTKPIGT$GTNKP*GKFGNDGTI8QN0QRR
 ዊ↰ಾஜ৻ᷰㄝ㓁੺ᮮ↰ᴦᄦ‫ࠬ࠮ࠢࠕޟ‬ጁᱧࠍ↪޿ߚ࡙࡯ࠩߩ૞ᬺߦኻᔕߔࠆ઒ᗐ

࠺ࠖ࡟ࠢ࠻࡝ߩ↢ᚑ‫ޠ‬㔚ሶᖱႎㅢାቇળ&'+/ ⺰ᢥ㓸 ዊᨋᓘ᪞ᢥᣂᮮ↰ᴦᄦ㧘‫ޟ‬5WRGTKORQUGF%QFGࠍ↪޿ߚ:/.ਛߩ8CNWCDNG.%#ត⚝ᚻᴺ‫ޠ‬㧘㔚ሶᖱႎㅢାቇળ&'+/ ⺰ᢥ㓸RR$ ๓ᕄᷰㄝ㓁੺ᮮ↰ᴦᄦ ‫⻠ޟ‬Ṷേ↹ࠕ࡯ࠞࠗࡉࠬ߆ࠄࠠ࡯ࡢ࡯࠼ߦว⥌ߔࠆ⻠Ṷ࠳ࠗࠫࠚࠬ࠻ߩ⥄േ૞ᚑ‫ޠ‬㧘㔚ሶᖱႎㅢାቇળ&'+/ ⺰ᢥ㓸 㜞ጊ৻᮸ᮮ↰ᴦᄦ㧘‫ޟ‬ᥧภൻ࠺࡯࠲ߩⶄ⵾ࠍ೑↪ߒߚᮭ㒢ᄬലಣℂᚻᴺߩ⹏ଔ‫ޠ‬㧘㔚ሶᖱႎㅢାቇળ&'+/ ⺰ᢥ㓸 ᷰㄝ㓁੺ዊ↰ಾஜ৻ᮮ↰ᴦᄦ‫ⶄޟ‬ᢙ⒳㘃ߩ㑐ㅪᐲࠍ⚵วߖߚࡈࠔࠗ࡞ಽ㘃ᚻᴺ‫ޠ‬㔚ሶᖱႎㅢାቇળ&'+/ ⺰ᢥ㓸
 9GPZKP.KCPI*CTWQ;QMQVC#*[DTKF#RRTQZKOCVG:/.5WDVTGG/CVEJKPI/GVJQF7UKPI

5[PVCEVKE(GCVWTGUCPF9QTF5GOCPVKEU2TQEQH&'+/(QTWO

106ಎᢎ᝼ 㘵↰ ൎศ ᖱႎᵹㅢಽ㊁ ࠝ࡯ࡃ࡟ࠗࡀ࠶࠻ࡢ࡯ࠢߩߚ߼ߩࠢࡠࠬ࡟ࠗࡗࡀ࠶࠻ࡢ࡯ࠢࠕ࡯ࠠ࠹ࠢ࠴ࡖߦ㑐ߔࠆ⎇ⓥ

‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ࠝ࡯ࡃ࡟ࠗࡀ࠶࠻ࡢ࡯ࠢߢߪ‛ℂࡀ࠶࠻ࡢ࡯ࠢߣߪ⁛┙ߦ࠻ࡐࡠࠫࠍ᭴ᚑߔࠆߚ߼‫ޔ‬೑↪⠪ߦߣߞߡߪࠬ࡞࡯ࡊ࠶࠻߿ㆃᑧߥߤߩᕈ⢻ߦ໧㗴߇↢ߓ‫࡯࡟ࡍࠝࠢ࡯ࡢ࠻࠶ࡀޔߚ߹ޔ‬࠲ߦߣߞߡߪࡀ࠶࠻ࡢ࡯ࠢ⾗Ḯ߇ή㚝ߦᶖ⾌ߐࠇᄢ߈ߥ໧㗴ߣߥߞߡ޿ࠆ‫ޕ‬ ߘߎߢ‫‛ޔ‬ℂࡀ࠶࠻ࡢ࡯ࠢߩ࠻ࡐࡠࠫߥߤߩᖱႎࠍ↪޿ߡࠝ࡯ࡃ࡟ࠗࡀ࠶࠻ࡢ࡯ࠢߩ࠻
ࡐࡠࠫࠍ᭴ᚑߔࠆߚ߼ߩࠢࡠࠬ࡟ࠗࡗࡀ࠶࠻ࡢ࡯ࠢࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⎇ⓥ߇⋓ࠎߢ޽ࠆ‫ޕ‬ᧄ⎇ⓥߢߪ‫ޔ‬
BGP ࡞࡯࠲ߦࠝ࡯ࡃ࡟ࠗࡁ࡯࠼ߩᯏ⢻ࠍㅊടߒ‫ޔ‬AS ࡟ࡌ࡞ߦ߅ߌࠆ‛ℂࡀ࠶
࠻ࡢ࡯ࠢߩᖱႎࠍ↪޿ߚࠝ࡯ࡃ࡟ࠗ࠻ࡐࡠࠫࠍ᭴ᚑߔࠆᣇᑼࠍឭ᩺ߒߚ‫ޕ‬ឭ᩺ᣇᑼߢߪ‫ޔ‬
ISP ߥߤߩࡀ࠶࠻ࡢ࡯ࠢࠝࡍ࡟࡯࠲஥ߢࠝ࡯ࡃ࡟ࠗ࠻ࡐࡠࠫࠍ᭴ᚑߒ‫ⶄޔ‬ᢙߩࠝ࡯ࡃ࡟ࠗ
ࡀ࠶࠻ࡢ࡯ࠢ㑆ߩ⾗Ḯ㈩ಽߥߤࠍ⠨ᘦߔࠆߎߣࠍน⢻ߦߔࠆ‫ࠫࡠࡐ࠻ࠗ࡟ࡃ࡯ࠝޔߚ߹ޕ‬
ߩ᭴ᚑᣇᴺߦ㑐ߔࠆࠪࡒࡘ࡟࡯࡚ࠪࡦࠍⴕ޿‫ޔ‬ឭ᩺ᣇᑼߩ᦭ലᕈࠍ᣿ࠄ߆ߦߒߚ‫ޕ‬ࡕࡃࠗ࡞ࠗࡦ࠲࡯ࡀ࠶࠻ߦ߅ߌࠆ૏⟎ඞฬᕈߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ࠗࡦ࠲࡯ࡀ࠶࠻਄ߩㅢାߢ೑↪ߐࠇߡ޿ࠆ IP ࠕ࠼࡟ࠬߦߪ‫ޔ‬૏⟎ߦ㑐ߔࠆᖱႎ߇฽߹
ࠇߡ޿ࠆ‫߼ߚߩߘޕ‬៤Ꮺ㔚⹤ࠍ IP ൻߒ‫ߡߦ࠻࠶ࡀ࡯࠲ࡦࠗ࡞ࠗࡃࡕޔ‬೑↪ߔࠆߣㅢା⋧ᚻߥߤߦ૏⟎ᖱႎ߇⍮ࠄࠇࠆෂ㒾ᕈ߇޽ࠆ‫ޔ߼ߚߩߘޕ‬૏⟎ᖱႎࠍ⒁ඞߔࠆࡕࡃࠗ࡞ࠗࡦ
࠲࡯ࡀ࠶࠻ᣇᑼ߇ᔅⷐߣߥࠆ‫ޕ‬ ߘߎߢᧄ⎇ⓥߢߪ‫ޔ‬Mobile IP ߦ߅ߌࠆࡎ࡯ࡓࠛ࡯ࠫࠚࡦ࠻ߥߤࠍ⚻↱ߒߡㅢାߔࠆߎ
ߣߢ‫ޔ‬IP ࠕ࠼࡟ࠬࠍㅢା⋧ᚻߦߒࠄࠇߥ޿ᣇᑼࠍᬌ⸛ߒߚ‫࠻ࡦࠚࠫ࡯ࠛࡓ࡯ࡎޔߒ߆ߒޕ‬ࠍ⚻↱ߔࠆߎߣߢ‫ޔ‬ㆃᑧ߇Ⴧടߒㅢାᕈ⢻ߦ⪺ߒ޿ᖡᓇ㗀ࠍਈ߃ࠆน⢻ᕈ߇޽ࠆ‫ޔߚ߹ޕ‬ㅢାㆃᑧ߆ࠄ૏⟎ᖱႎߩṳ߃޿ߩෂ㒾ᕈ߇޽ࠅ߁ࠆ‫⎇ᧄޕ‬ⓥߢߪ‫ⶄޔ‬ᢙߩࡎ࡯ࡓࠛ࡯ࠫࠚ
ࡦ࠻߇ሽ࿷ߔࠆⅣႺਅߦ߅޿ߡ‫ޔ‬૏⟎ᖱႎṳᵨߩෂ㒾ᕈࠍᦨዊൻߒ‫ߟ߆߅ߥޔ‬ㅢାㆃᑧࠍ
೙㒢୯એౝߦᛥ߃ࠆᚻᴺࠍឭ᩺ߒ‫⹏ࡦ࡚ࠪ࡯࡟ࡘࡒࠪޔ‬ଔߦࠃࠅߘߩ᦭ലᕈߦ᣿ࠄ߆ߦߒߚ‫ޕ‬
22 ࠦࡦ࠹ࡦ࠷㈩ାߦ߅ߌࠆ࡟ࡇࡘ࠹࡯࡚ࠪࡦᣇᑼߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬
 P2P ߿ YouTube ߥߤߦ߅޿ߡ‫ޔ‬User Generated Contents (UGC)߇᏷ᐢߊ೑↪ߐࠇߡ޿ࠆ‫ޕ‬UGC ߩ໧㗴ߪ‫⪺߿ࠬ࡞ࠖ࠙࠲࡯ࡘࡇࡦࠦޔߊߥߢߌߛ࠷ࡦ࠹ࡦࠦ޿ࠃޔ‬૞ᮭ㆑෻ߩࡈࠔࠗ࡞ߥߤߩਇᱜࠦࡦ࠹ࡦ࠷߇↢ߓࠆߎߣߦ޽ࠆ‫ߥ߁ࠃߩߘޕ‬ਇᱜࠦࡦ࠹ࡦ࠷߇ࠗࡦ
࠲࡯ࡀ࠶࠻਄ߢή೙㒢ߦᐢ߇ࠅ‫ޔ‬ᄢ߈ߥ໧㗴ߣߥߞߡ޿ࠆ‫ޕ‬ ߘߎߢ P2P ߦ߅޿ߡਇᱜࠦࡦ࠹ࡦ࠷ߩ⬧ᑧࠍᛥ೙ߔࠆߚ߼ߦ‫߮ࠃ߅࠷ࡦ࠹ࡦࠦޔ‬ਛ⛮ࡇࠕߦኻߔࠆ࡟ࡇࡘ࠹࡯࡚ࠪࡦࠍታᣉߔࠆᣇᑼࠍᬌ⸛ߒߚ‫ޔߪߣࡦ࡚ࠪ࡯࠹ࡘࡇ࡟ޕ‬೑↪⠪107߇ઁߩ೑↪⠪߹ߚߪࠦࡦ࠹ࡦ࠷ࠍ⹏ଔߒ‫ߡߞࠃߦࠇߘޔ‬ਇᱜߥ೑↪⠪߿ࠦࡦ࠹ࡦ࠷ࠍឃ㒰ߔࠆᣇᑼߢ޽ࠆ‫⎇ᧄޕ‬ⓥߢ⠨᩺ߒߚᣂߚߥ࡟ࡇࡘ࠹࡯࡚ࠪࡦᣇᑼࠍࠪࡒࡘ࡟࡯࡚ࠪࡦߦߡ
⹏ଔߒ‫ޔ‬ਇᱜߥࠦࡦ࠹ࡦ࠷ߩᛥ೙߇น⢻ߢ޽ࠆߎߣࠍ᣿ࠄ߆ߦߒߚ‫ޕ‬‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1)㘵↰ൎศ‫ ࠬࡄࡦࡖࠠޟޔ‬ICT ⛔วⅣႺ᭴▽ߩࡐࠗࡦ࠻ߣߐߓടᷫ‫᧲ޔޠ‬੩Ꮏᬺᄢቇ࡮ቇⴚ
࿖㓙ᖱႎ࠮ࡦ࠲࡯㧔GSIC㧕࠮ࡒ࠽࡯‫ޔ‬‫ࠬࡄࡦࡖࠠޟ‬㧵㧯㨀⛔วⅣႺߩ⹜ߺɆ㧼㧷㧵࡮㧵㧯ࠞ࡯࠼ߣ࠰ࡈ࠻࠙ࠚࠕ൮᜝ᄾ⚂㧙‫ޔޠ‬2008 ᐕ 4 ᦬2)㘵↰ൎศ‫ޔ‬‫ޟ‬㨇ࡄࡀ࡞⸛⺰㨉ࡀ࠶࠻ࡢ࡯ࠢ઒ᗐൻ/ࠝ࡯ࡃ࡟ࠗࡀ࠶࠻ࡢ࡯ࠢᛛⴚߩᦨ೨✢‫ޠ‬‫ޔ‬㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔‫ޔ‬Vol.108, No.120, pp.65-68, IA2008-24, 2008 ᐕ 7 ᦬3)ᄢḴᜏ਽‫⋉ޔ‬੗⾫ᰴ‫ޔ‬㘵↰ൎศ‫ޔ‬‫ޟ‬㊀ⶄ⚻〝ߩ೥ᷫࠍ⋡⊛ߣߔࠆ AS 㑆ࠝ࡯ࡃ࡟ࠗ⚻〝೙ᓮߩߚ߼ߩࠢࡠࠬ࡟ࠗࡗࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ৻ᬌ⸛‫ޔޠ‬㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔‫ޔ‬
Vol.108, No.258, pp.13-18, NS2008-70, 2008 ᐕ 10 ᦬

4)
5)

6)

㘵↰ൎศ㧘‫౒ࠬࡄࡦࡖࠠޟ‬ㅢ⹺⸽⹺นࠪࠬ࠹ࡓߩ᭴▽ߣࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩ⊒ዷ‫ޠ‬㧘૒⾐ᄢቇ✚วᖱႎၮ⋚࠮ࡦ࠲࡯࡮⛔ว⹺⸽ࠪࡦࡐࠫ࠙ࡓ 2008㧘2008 ᐕ 12 ᦬
Masayoshi Shimamura, Katsuyoshi Iida, Hiroyuki Koga, Youki Kadobayashi, andSuguru Yamaguchi, “Hose bandwidth allocation method to achieve minimum
throughput assurance service for provider provisioned VPNs,” IPSJ Journal, Vol. 49,
No. 12, pp. 3967-3984, Dec. 2008.
㘵↰ൎศ‫ޟޔ‬㨇᜗ᓙ⻠Ṷ㨉ࠠࡖࡦࡄࠬࡀ࠶࠻ࡢ࡯ࠢߦ߅ߌࠆ࠮ࠠࡘ࡝࠹ࠖㆇ↪ߩታᘒߣᛛ
ⴚേะ‫ޔޠ‬㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔‫ޔ‬Vol.108, No.426, pp.19-24, IN2008-125, 2009
ᐕ2᦬

7)↰ਛᓆ‫ޔ‬᎑᧛᣽⟵‫⋉ޔ‬੗⾫ᰴ‫ޔ‬㘵↰ൎศ‫ޔ‬‫᦭ޟ‬ኂࠦࡦ࠹ࡦ࠷ᛥ೙ࠍ⋡⊛ߣߒߚࡇࠕߣࠦࡦ
࠹ࡦ࠷෺ᣇߦ࡟ࡇࡘ࠹࡯࡚ࠪࡦࠍ↪޿ࠆ P2P ࠦࡦ࠹ࡦ࠷ᵹㅢᚻᴺߩឭ᩺‫ޔޠ‬㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔‫ޔ‬Vol.108, No.457, pp.141-146, NS2008-168, 2009 ᐕ 3 ᦬

8)ਃቛశᄥ㇢‫⋉ޔ‬੗⾫ᰴ‫ޔ‬㘵↰ൎศ‫ޔ‬‫࡞ࠗࡃࡕဳࠪࠠࡠࡊޟ‬ㅢାߦ߅ߌࠆࡁ࡯࠼ߩ૏⟎ᖱႎṳᵨߩಽᨆߣ⸵ኈㆃᑧࠍ⠨ᘦߒߚኻ╷ߩឭ᩺‫ޠ‬‫ޔ‬㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔‫ޔ‬Vol.108,
No.457, pp. 483-488, NS2008-229, 2009 ᐕ 3 ᦬

9)Hieu Hanh Le, Masayoshi Shimamura, Kenji Masui and Katsuyoshi Iida, “A study on
XCP routers' misbehaviors on congestion control,” IEICE Technical Reports, Vol.108,
No.460, pp.49-54, IA2008-75, Mar 5 2009.

108

․છಎᢎ᝼ ෹⍹ ᱜᒾ㧔ᖱႎᵹㅢಽ㊁㧕0#4')+ ࠣ࡝࠶࠼ࡒ࠼࡞࠙ࠚࠕߦࠃࠆᄢⷙᮨㅪ៤ធ⛯ታ⸽ታ㛎‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬᭎ⷐ: ᄢ㒋ᄢቇߣ᧲੩Ꮏᬺᄢቇ‫਻ޔ‬Ꮊᄢቇ‫ޔ‬ฬฎደᄢቇߩฦᖱႎၮ⋚࠮ࡦ࠲࡯ߪ‫ޔ‬
NAREGI ⎇ⓥ㐿⊒᜚ὐߢ޽ࠆ࿖┙ᖱႎቇ⎇ⓥᚲߣಽሶ⑼ቇ⎇ⓥᚲߣㅪ៤ߒ‫ޔ‬ታㆇ↪ਛߩᄢⷙᮨ⸘▚ᯏࠪࠬ࠹ࡓߦ NAREGI ࡒ࠼࡞࠙ࠚࠕࠍዉ౉ߒ‫ޔ‬⍴ᦼ㑆ߢߪ޽ࠆ߇‫ోޔ‬࿖ⷙᮨߢߩߎࠇ߹ߢߦߥ޿ᄢⷙᮨߥࠪࠬ࠹ࡓ᭴ᚑߦࠃࠆㅪ៤ធ⛯ࠍታ⸽⊛ߦⴕߞߚ‫ᧄޕ‬ታ⸽ታ㛎ߢߪ‫ޔ‬NAREGI ࡒ࠼࡞࠙ࠚࠕߦࠃߞߡ‫ⶄޔ‬ᢙߩ⹺⸽ዪ߇⊒ⴕߔࠆ⸽᣿ᦠࠍ↪޿ߡ઒ᗐ⚵❱ࠍ᭴ᚑߒ೑↪⠪ᖱႎ߿⸘▚ᯏ⾗Ḯᖱႎߥߤߩࠣ࡝࠶࠼ဳ⾗Ḯ▤ℂ߇น⢻ߢ޽ࠆߎߣ‫ⶄޔ߮ࠃ߅ޔ‬ᢙߩࡔ࠲ࠬࠤࠫࡘ࡯࡜߇ㅪ៤ߒߡ⾗Ḯ੍⚂ࠍⴕߞߚ਄ߢታࠕࡊ࡝ࠤ࡯
࡚ࠪࡦࠍ⹺นߐࠇߚ⸘▚⾗Ḯߦ߅޿ߡታⴕน⢻ߢ޽ࠆߎߣࠍᬌ⸽ߒߚ‫ޕ‬

3/27 Phase-2 䊉䊷䊄᭴ᚑ‫ܖٻ᧵ٻ‬

4'0-'+1UCMC

ிʮ߻ಅ‫ܖٻ‬Osaka Univ. Grid CA

0++GSIC-VOS+/581

NAREGI CA
RENKEI-Naregi

CA/RA

CA/RA

RA
7UGTEGTV*QUVEGTV

UMS

Portal133.1.65.134

VOMS

SS
133.1.65.135

UMS/VOMS
210.146.75.240

55ᡲઃ

Portal210.146.75.237
SS
210.146.75.239

SS
adm6

IS-NAS
png2009

GridVM Sch
dpca064
GridVM Sch
dpca128
GridVM Sch
dpcb064
GridVM Sch
dpcb128
GridVM Sch
dpcc128
GridVM Sch
dpcd048
GridVM Sch
dpcd049
GridVM Sch
dpcd057
GridVM Sch
sr11k

IS-CDAS
dpcd058ӸӞ‫ܖٻދ‬IS-CDAS133.1.65.137

ϋᢿМဇ portal /…/cdas

IS-CDAS210.146.75.232

IS-CDAS
png2010

IS-CDAS
png2011

CDAS/GVM-S
vm130
GridVM Sch
133.1.65.138

GridVM Sch
133.1.65.139

GridVM Sch
133.1.65.140

ᢂ˞

GridVM Sch
naregi4.cc

GridVM Sch
ngrd1.cc(Linux)(Solaris)

GridVM Engines

GridVM Sch
210.146.75.233

௅‫ޢ‬ᄂϋ

GridVM Engines

Portaladm5

UMS/VOMSSS
rcs png2008

IS-NAS
210.146.75.238

IS-NAS133.1.65.136

Portalpfg2026

UMS/VOMS
pfg3004

XQМဇ
GridVM
pbg2043ʋ߸‫ܖٻ‬

GridVM
png3000

GridVM S&E
png1053

GridVM
png1051

GridVM Sch
dpc.kyushu

sng0001(sx)

png1054

GridVM
pfg1005(Linux)GridVM Engines‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬[1] NAREGI ࠣ࡝࠶࠼ࡒ࠼࡞࠙ࠚࠕߦࠃࠆᄢⷙᮨㅪ៤ធ⛯ታ⸽ታ㛎, ᧲↰ቇ, ෹⍹ᱜᒾ, ઁ, ᖱႎಣℂቇળ ⎇ⓥႎ๔㧔OS㧕, Vol.2008 No.77, 133--140, (2008).

109ഥᢎ㩷 ᷰㄝ㩷 㓁੺䋨ᖱႎ⫾Ⓧ䊶ᵴ↪ಽ㊁䋩㩷
ࠕࠢ࠮ࠬࡠࠣߩ᦭ലᵴ↪ߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬PC ਄ߢᛒ߁ࡈࠔࠗ࡞ᢙ߇῜⊒⊛ߦჇടߒ‫ޔ‬㑐ㅪߔࠆࡈࠔࠗ࡞⟲߇ࡈࠔࠗ࡞ࠪࠬ࠹ࡓਛߦ
ಽᢔߒߡߒ߹߁ߣ޿߁໧㗴߇⊒↢ߒߡ޿ࠆ‫࡝࠻ࠢ࡟ࠖ࠺ޕ‬᭴ㅧߦࠃࠆ▤ℂ߿‫࠶࠻ࠢࠬ࠺ޔ‬ࡊࠨ࡯࠴ߦࠃࠆᬌ⚝ߢߪ‫ߥ߁ࠃߩߘޔ‬྾ᢔߒߚࡈࠔࠗ࡞⟲ߩᛒ޿ߦߪ㒢⇇߇޽ࠆ㧚ᧄ⎇ⓥߢߪ‫⿠౒ߩ࠭࡯ࡠࠢߣࡦࡊ࡯ࠝߩ࡞ࠗࠔࡈޔ‬㑐ଥߦၮߠ޿ߡࡈࠔࠗ࡞㑆ߩ㑐ㅪᐲࠍ▚಴ߒ‫ޔ‬㑐ㅪᐲߩ㜞޿ࠣ࡞࡯ࡊࠍࠢ࡜ࠬ࠲࡝ࡦࠣߦࠃߞߡ↢ᚑߔࠆߎߣߢ‫ߣߎࠆߔ↪૶ߡߒ⿠౒ޔ‬ߩᄙ޿ࡈࠔࠗ࡞ห჻߆ࠄߥࠆ઒ᗐࡈࠜ࡞࠳ߣߒߡ೑↪⠪߳ឭଏߔࠆࠪࠬ࠹ࡓࠍ㐿⊒ߒߚ‫ޕ‬ߐࠄߦ‫⿠౒ߩࠬ࠮ࠢࠕޔ‬㑐ଥߦട߃ߡ‫ߩ࠻ࠬࠠ࠹ޔ‬㘃ૃᐲ‫ᦝޔ‬ᣂᤨೞߩㄭߐ‫ࠬࡄޔ‬ฬߩ㘃ૃᐲ߽⛔วߒߚࡈࠔࠗ࡞ࠣ࡞࡯ࡊߩಽᨆ࠷࡯࡞ߩ㐿⊒߽ⴕߞߚ‫ޕ‬⻠Ṷേ↹ࠕ࡯ࠞࠗࡉࠬ߆ࠄߩ࠳ࠗࠫࠚࠬ࠻↢ᚑߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ࠬ࡜ࠗ࠼ࠍ૶ߞߚ⻠Ṷࠍ㍳↹࡮㈩ାߔࠆߚ߼ߩⅣႺ߇ᢛ஻ߐࠇ‫ޔ‬ᄢ㊂ߩ⻠Ṷࠦࡦ࠹ࡦ࠷ࠍ
ឭଏߔࠆ⻠Ṷേ↹ࠕ࡯ࠞࠗࡉࠬ߇಴⃻ߒߡ޿ࠆ‫ޔ߇ߛޕ‬㒢ࠄࠇߚᤨ㑆ߩਛߢߪ೑↪⠪߇ⶄᢙߩ⻠Ṷേ↹߆ࠄ⥝๧ߩ޽ࠆࠪ࡯ࡦࠍតߒߡ㑛ⷩߔࠆߎߣߪ࿎㔍ߦߥߞߡ߈ߡ޿ࠆ‫⎇ᧄޕ‬ⓥߢߪ‫ⶄޔ‬ᢙ⻠Ṷേ↹ࠍኻ⽎ߣߒߚ࠳ࠗࠫࠚࠬ࠻↢ᚑᚻᴺࠍឭ᩺ߒߚ‫࠼࡯ࡢ࡯ࠠޕ‬ᬌ⚝ߦว⥌ߔࠆⶄᢙߩ⻠Ṷേ↹߆ࠄࠬࠦࠕߩ㜞޿ࠪ࡯ࡦࠍ᛽಴ߒ‫ޔ‬೑↪⠪ߩᜰቯߔࠆᤨ㑆᏷ߦ෼߹ࠆ࠳ࠗࠫࠚࠬ࠻ࠍ↢ᚑߔࠆ‫▚ࠕࠦࠬߩࡦ࡯ࠪޕ‬಴ᴺߣߒߡ‫࠼ࠗ࡜ࠬޔ‬ਛߩන⺆ߩ಴⃻㗫ᐲ‫ߩ࠼ࠗ࡜ࠬޔ‬ឭ␜ᤨ㑆‫ߩ࠼ࠗ࡜ࠬޔ‬೨ᓟ㑐ଥ‫࠼ࠗ࡜ࠬޔ‬᭴ᚑࠍ⴫ࠊߔ․ᓽ⊛ߥ࠲ࠗ࠻࡞
ࠍߘࠇߙࠇ⠨ᘦߔࠆᣇᑼࠍឭ᩺ߒ‫⹏ޔ‬ଔࠍⴕߞߚ‫ޕ‬ࠬ࠻࡝࡯ࡓ࠺࡯࠲ಣℂၮ⋚ࠪࠬ࠹ࡓߩ⎇ⓥ㐿⊒‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬࠮ࡦࠨ࡯ࡀ࠶࠻߿ࡀ࠶࠻ࡢ࡯ࠢࠞࡔ࡜ߥߤߩ࠺ࡃࠗࠬߩ᥉෸ߦࠃࠅ‫ޘᤨޔ‬ೞ‫ߣޘ‬ᄌൻߔࠆታ਎⇇ߩᖱႎࠍឭଏߔࠆࠬ࠻࡝࡯ࡓဳߩᖱႎḮ߇Ⴧടߒߡ޿ࠆ‫⎇ᧄޕ‬ⓥߢߪ‫╳ޔ‬ᵄᄢቇർᎹ࠺࡯࠲Ꮏቇ⎇ⓥቶߣ౒หߢࠬ࠻࡝࡯ࡓ࠺࡯࠲ಣℂၮ⋚ࠪࠬ࠹ࡓߩ㐿⊒ࠍⴕߞߡ޿ࠆ‫ޕ‬ᐔᚑ 20 ᐕᐲߪ‫ޔ‬⒖േࠝࡉࠫࠚࠢ࠻ߩㅊ〔ߥߤߩ↪ㅜࠍᗐቯߒ‫ⶄޔ‬ᢙߩᖱႎḮߩ୥⵬ߩਛ߆
ࠄಣℂኻ⽎ߣߔࠆᖱႎḮࠍേ⊛ߦㆬᛯ࡮೑↪ߔࠆߚ߼ߩ໧วߖಣℂߩᨒ⚵ߺߩታ⃻‫ޔߚ߹ޔ‬࠮ࡦࠨ࡯ࡀ࠶࠻ߩࡁ࡯࠼਄ߢၮ⋚ࠪࠬ࠹ࡓࠍേ૞ߐߖࠆߚ߼ߩታⵝ૞ᬺࠍⴕ޿‫࡯ࠨࡦ࠮ޔ‬ࡀ࠶࠻ౝߩฦࡁ࡯࠼߽฽߼ߚಽᢔಣℂᣇᑼߩឭ᩺ࠍⴕߞߚ‫ޕ‬



110

‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1)ᄢ༑ᕡ↭㧘ᷰㄝ㓁੺㧘⑺ጊ੫㧘ർᎹඳਯ㧘ᄤ═ବਯ㧘Ꮉፉ⧷ਯ㧘‫ޟ‬ኻ⽎ᖱႎḮߩേ⊛ᄌൻࠍ⠨ᘦߒߚಽᢔࠬ࠻࡝࡯ࡓಣℂᦨㆡൻᚻᴺߩឭ᩺‫ޠ‬iDB ࡈࠜ࡯࡜ࡓ 2008㧘ᖱႎಣℂቇળ⎇ⓥႎ๔ Vol.2008 No.88 2008-DBS-146, pp.265-270, 2008 ᐕ 9 ᦬㧚

2)

Kosuke Ohki, Yousuke Watanabe, and Hiroyuki Kitagawa, "Dynamic Source
Selection to Handle Changes of User's Interest in Continuous Query", Proc. 16th
International Conference on Cooperative Information Systems (Poster of CoopIS
2008), LNCS 5333, pp.6-7, Nov., 2008.

3)ዊ↰ಾஜ৻㧘ᷰㄝ㓁੺㧘ᮮ↰ᴦᄦ㧘‫ࠬ࠮ࠢࠕޟ‬ጁᱧߦၮߠߊࡈࠔࠗ࡞㑆㑐ㅪᐲࠍ↪޿ߚ࠺ࠬࠢ࠻࠶ࡊᖱႎ▤ℂ࠷࡯࡞ߩ㐿⊒‫ޠ‬WebDB ࡈࠜ࡯࡜ࡓ 2008㧘㔚ሶᖱႎㅢାቇળ
ᛛⴚႎ๔ Vol. 108, No. 329, DE2008-72 p.49, 2008 ᐕ 12 ᦬㧚(ࡐࠬ࠲࡯⊒⴫)

4)ᷰㄝ㓁੺㧘ዊ↰ಾஜ৻㧘ᮮ↰ᴦᄦ㧘‫ⶄޟ‬ᢙ⒳㘃ߩ㑐ㅪᐲࠍ⚵วߖߚࡈࠔࠗ࡞ಽ㘃ᚻᴺ‫ޠ‬╙ 1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ(DEIM2009)㧘2009 ᐕ 3 ᦬㧚

5)ዊ↰ಾஜ৻㧘ᷰㄝ㓁੺㧘ᮮ↰ᴦᄦ㧘‫ࠬ࠮ࠢࠕޟ‬ጁᱧࠍ↪޿ߚ࡙࡯ࠩߩ૞ᬺߦኻᔕߔࠆ઒
ᗐ࠺ࠖ࡟ࠢ࠻࡝ߩ↢ᚑ‫ ╙ޠ‬1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ
(DEIM2009)㧘2009 ᐕ 3 ᦬㧚

6)๓ᕄ㧘ᷰㄝ㓁੺㧘ᮮ↰ᴦᄦ㧘‫⻠ޟ‬Ṷേ↹ࠕ࡯ࠞࠗࡉࠬ߆ࠄࠠ࡯ࡢ࡯࠼ߦว⥌ߔࠆ⻠Ṷ࠳ࠗࠫࠚࠬ࠻ߩ⥄േ૞ᚑ‫ ╙ޠ‬1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ
(DEIM2009)㧘2009 ᐕ 3 ᦬㧚

7)ጊญථ㇢㧘ᷰㄝ㓁੺㧘ർᎹඳਯ㧘‫࠼࡯ࡁࠨࡦ࠮ޟ‬਄ߢേ૞ߔࠆ᳢↪࠺࡯࠲▤ℂၮ⋚ߩ㐿⊒‫ ╙ޠ‬1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ(DEIM2009)㧘2009 ᐕ
3 ᦬㧚

8)

ᄢ༑ᕡ↭㧘ᷰㄝ㓁੺㧘ർᎹඳਯ㧘Ꮉፉ⧷ਯ㧘‫ޟ‬ಽᢔࠬ࠻࡝࡯ࡓಣℂߦ߅ߌࠆኻ⽎ᖱႎḮߩേ⊛ᄌൻࠍ⠨ᘦߒߚ໧วߖᦨㆡൻᚻᴺߩ⹏ଔ‫ ╙ޠ‬1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ
࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ(DEIM2009)㧘2009 ᐕ 3 ᦬㧚

9)ႮᎹᶈᤘ㧘ᷰㄝ㓁੺㧘ർᎹඳਯ㧘Ꮉፉ⧷ਯ㧘‫ޟ‬ಽᢔࠬ࠻࡝࡯ࡓಣℂࠪࠬ࠹ࡓߦ߅ߌࠆ㜞ା㗬ൻᚻᴺߩឭ᩺‫ ╙ޠ‬1 ࿁࠺࡯࠲Ꮏቇߣᖱႎࡑࡀࠫࡔࡦ࠻ߦ㑐ߔࠆࡈࠜ࡯࡜ࡓ
(DEIM2009)㧘2009 ᐕ 3 ᦬㧚10) Kousuke Ohki, Yousuke Watanabe, and Hiroyuki Kitagawa, "Evaluation of a
Framework for Dynamic Source Selection in Stream Processing", Proc.
International Workshop on Data Management for Information Explosion in
Wireless Networks (DMIEW 2009), pp. 1106-1111, Mar., 2009.

111

ቴຬᢎ᝼ ⋥੗ ⡡
9GD ㅪ៤ࠍ↪޿ߚᤋ௝ࠦࡦ࠹ࡦ࠷߆ࠄߩ࠹ࠠࠬ࠻ᬌ⚝ᖱႎߩ᛽಴
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ࡉࡠ࡯࠼ࡃࡦ࠼ᤨઍࠍㄫ߃‫ޔ‬PC ߿ DVD ߩ࠺ࠖࠬࠢኈ㊂߇ᩰᲑߦჇടߒ‫ޔ‬ᤋ௝ࠦࡦ࠹ࡦ
࠷ߩ⫾Ⓧ࡮ᬌ⚝ᯏ⢻߇ࠃࠅ㊀ⷐߦߥߞߡ߈ߡ޿ࠆ‫ޕ‬ᤋ௝ࠦࡦ࠹ࡦ࠷ߩᬌ⚝ᣇᴺߣߒߡ‫࠹ޔ‬ࡠ࠶ࡊߥߤߩᢥሼᖱႎᬌ⚝‫ߩ╬࡯࠲࡯࡟࠽ޔ‬㖸ჿᖱႎᬌ⚝‫߿‛ੱޔ‬ᑪㅧ‛╬ߩ↹௝ᬌ⚝߇⠨߃ࠄࠇࠆ‫ޕ‬ᖱႎ᛽಴♖ᐲߩὐ߆ࠄߪ‫ޔߦ⊛⥸৻ޔ‬㖸ჿᖱႎߪ⹤ߒᚻߩ㖸ჿࠍቇ⠌ߢ߈ߥ޿㒢ࠅ♖ᐲߪૐߊ‫↹ޔ‬௝ᬌ⚝ߦ⥋ߞߡߪ‫ޔ⦡ޔ‬ᒻ⁁╬ߢᬌ⚝ߢ߈ࠆ߇‫ޔ‬୥⵬ᢙ߇ᄙߊ࡙࡯
ࠩ߇ᦸ߻ᤋ௝ࠍ⷗ߟߌࠆߩߪ㕖Ᏹߦᄢᄌߢ޽ࠆ‫ߩߘޕ‬ὐ‫ޔ‬ᢥሼᖱႎߪઁߦᲧߴߡߘߩ♖ᐲ߇ᦼᓙߢ߈ࠆߩߢ‫⎇ᧄޔ‬ⓥߢߪᤋ௝ࠦࡦ࠹ࡦ࠷߆ࠄߩᢥሼᖱႎ᛽಴ߦὶὐࠍᒰߡߚ‫ޕ‬ߎࠇ߹ߢ࠹ࡠ࠶ࡊ⹺⼂ߩᢥሼ⹺⼂♖ᐲࠍะ਄ߐߖࠆߩߦ‫ޔ‬ᢥሼ⹺⼂ߩᓟಣℂߢᢥሼ⹺⼂ߩ୥⵬ߦኻߒߡ⍮⼂ಣℂࠍⴕ߁ᣇᴺ߇⠨߃ࠄࠇߡ߈ߚ‫ޕ‬⍮⼂ㄉᦠߦ⊓㍳ߐࠇߡ޿ࠆ৻⥸ߩන⺆ߦߟ޿ߡߪᢥሼ⹺⼂ߩ⺋ࠅ߇ୃᱜߐࠇࠆ߇‫ޔ‬⍮⼂ㄉᦠߦ⊓㍳ߐࠇߡ޿ߥ޿ᧂ⊓㍳⺆ߦኻߒߡߪലᨐ߇ߥߊ‫ޔߚ߹ޔ‬ᢥሼ⹺⼂ߩ୥⵬ᢥሼ߇ߥ޿႐วߦߟ޿ߡߪ⺋ࠅୃᱜ߇࿎㔍ߢ޽ߞߚ‫ޔߢߎߘޕ‬๹ᐕᐲ߆ࠄᤋ௝ࠦࡦ࠹ࡦ࠷ߦኻᔕߔࠆ⸥੐ࠍ Web ߆ࠄ⷗ߟߌ‫ޔ‬Web ߩ⸥੐ࠍ↪޿ߡᢥሼ⹺⼂ߩ♖ᐲࠍะ਄ߐߖࠆ⎇ⓥߦ⌕ᚻߒߚ‫ޕ‬ᢥሼ⹺⼂ߪ⃻࿷㧼㧯਄ߩ࠰ࡈ࠻࠙ࠚࠕߢታ⃻ߐࠇߡ޿ࠆߛߌߢߥߊ‫ࡔࠞࠫ࠺ޔ‬ઃ៤Ꮺߢ߽ OCR ⠡⸶ᯏ⢻߇ታ⃻ߐࠇࠆߥߤㆡ↪▸࿐߇᜛ᄢߒߡ޿ࠆ߇‫ޔ‬ฦᯏེߦ߅޿ߡ߽࡙ࡆࠠ࠲ࠬ࡮ࡉࡠ࡯࠼ࡃࡦ࠼ᤨઍ߇ട
ㅦߒ‫࠻࠶ࡀ࡯࠲ࡦ߽ࠗߡ޿߅ߦࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕߩࠕࠚ࠙࠻ࡈ࠰ޔ‬ㅪ៤߇ᒰߚࠅ೨ߦߥࠆ
ᤨઍߦߥߞߡ޿ࠆ‫ޔࠅ߹ߟޕ‬ᚒ‫⎇ߩޘ‬ⓥߩߨࠄ޿ߪ‫ޔ‬ᢥሼ⹺⼂ߩ㜞♖ᐲൻࠍᓥ᧪ߩ࿕ቯߩ
⍮⼂ㄉᦠߢⴕ߁ߩߢߪߥߊ‫ޔ‬Web ߩᖱႎࠍ࠳ࠗ࠽ࡒ࠶ࠢߦᵴ↪ߒߡᣣ‫ࠆߔ↢⊒ޘ‬ᣂߒ޿න⺆ߦ߅޿ߡ߽⍮⼂ಣℂ߇ߢ߈ࠆ઀⚵ߺࠍ⎇ⓥ㐿⊒ߔࠆ‫ޕ‬੹ᐕᐲߦ߆ߌߡ߹ߣ߼޽ߍߚᚻᴺߪ㧘߹ߕ㧘ᣣᧄ⺆ߩ࠹࡟ࡆ࠾ࡘ࡯ࠬ⇟⚵ਛߦ಴⃻ߔࠆ࠹ࡠ࠶ࡊਛߩᢥሼࠍ⹺⼂ߒ㧘୥⵬ᢥሼ㈩೉ࠍ↢ᚑߔࠆ㧚ᰴߦ㧘ߎߩᤨὐߢߪᄙᢙߩ⹺⼂⺋ࠅࠍ฽߻୥⵬ᢥሼ㈩೉߆ࠄ㧘㑐ㅪߒߚ Web ⸥੐ࠍᬌ⚝ߔࠆߚ߼ߩᬌ⚝ᢥሼ೉㓸วࠍ↢ᚑߒ㧘ߘߩਛߩᢥሼ೉ߣ㑐ㅪߩ㜞޿ Web ߩ⸥੐ࠍㆬቯߔࠆ㧚ߘߩ㓙㧘⸥੐ਛߩᢥሼ೉ߩ಴
⃻㗫ᐲ߿୥⵬ᢥሼ㈩೉ਛߩ୥⵬ߩ࡜ࡦࠢ㧘ߐࠄߦઁߩ୥⵬ᢥሼ೉ߣߩ౒⿠㑐ଥࠍ⠨ᘦߒߡ㑐ㅪᐲࠍ▚಴ߒ㧘Web ⸥੐ߩ࡜ࡦࠠࡦࠣࠍⴕ߁㧚ߘߎߢ਄૏ߦ࡜ࡦࠢߐࠇߚ㑐ㅪᐲߩ㜞޿Web ⸥੐ࠍ↪޿ߡ㧘K-ࠣ࡜ࡓߩᢥ⣂ࡌ࡯ࠬߩㄉᦠࠍ૞ᚑߒ㧘⹺⼂⺋ࠅߩᢥሼࠍᬌ಴ߔࠆ
ߣߣ߽ߦ⸓ᱜࠍⴕ߁㧚ታ㓙ߦ᡼ᤋߐࠇߚᣣᧄ⺆ߩ࠾ࡘ࡯ࠬ⇟⚵ߣ Web ਄ߩ࠾ࡘ࡯ࠬ⸥੐
ࠍ↪޿ߡⴕߞߚታ㛎ߦࠃࠅ㧘ឭ᩺ᚻᴺߦࠃߞߡ⺋⹺⼂⚿ᨐࠍ฽߻ᬌ⚝ᢥሼ೉ࠍ↪޿ߡ߽චಽ㑐ㅪߩ޽ࠆ Web ߩ⸥੐ࠍᬌ⚝ߔࠆߎߣ߇ߢ߈㧘ߘߩ Web ⸥੐ߦࠃࠅ⹺⼂⺋ࠅࠍᬌ಴ߒ
࠹ࡠ࠶ࡊਛߩᢥሼߩ⹺⼂₸߇ะ਄ߢ߈ࠆߎߣ߇ࠊ߆ߞߚ㧚੹ᓟߩ⺖㗴ߣߒߡ‫ޔ‬ᄢⷙᮨߥታ
㛎⹏ଔࠍⴕ߁ߣߣ߽ߦ‫ߩࡊ࠶ࡠ࠹ޔ‬ೋᦼᢥሼ⹺⼂₸ߩߐࠄߥࠆะ਄‫ ߁઻ߦࠇߘޔ‬Web ㅪ៤ᣇᴺߩ৻ጀߩะ਄߇޽ߍࠄࠇࠆ‫ޕ‬112

‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1)䊄䉡䊮䉯 䊐䉠䊮, ൎጊ⵨, ⋥੗⡡, ᮮ↰ᴦᄦ, 䇸Web 䉰䊷䉼䉕ᵴ↪䈚䈢 TV 䊁䊨䉾䊒⹺⼂₸
ะ਄ᚻᴺ䇹㔚ሶᖱႎㅢାቇળ, ାቇᛛႎ, Vol. 109, No. 93, pp. 163-168, 2008.6.

2) Do Ngoc HUNG, Yutaka KATSUYAMA, Satoshi NAOI, Haruo YOKOTA,"Improvement of Telop Recognition Qualityby Integrating Web Search Results",
Proc. of VLDB2008 Workshops (NTII), pp. 32-35, 2008.8.
3)ᱞㇱ㩷 ᶈ᣿㪃㩷 ዊỈ㩷 ᙗ⑺㪃㩷 ൎጊ㩷 ⵨㪃㩷 ᮮ↰ᴦᄦ㪃㩷 ⋥੗⡡㪃㩷 䇸ᢥሼ⹺⼂ᛛⴚ䉕೑↪䈚䈢⻠⟵േ↹䈱䉴䊤䉟䊄หቯ䇹㪃㩷 㔚ሶᖱႎㅢାቇળ㪃㩷 㔚ሶᖱႎㅢାቇળ⺰ᢥ⹹䋨䌄䋩㪃㩷㪭㫆㫃㪅㩷㪡㪐㪈㪄㪛㪃㩷㪥㫆㪅㩷㪐㪃㩷㫇㫇㪅㩷㪉㪉㪏㪇㪄㪉㪉㪐㪉㪃㩷㪉㪇㪇㪏㪅㪐㪅㩷113ቴຬಎᢎ᝼ 㐷ᨋ 㓶ၮࠗࡦ࠲࡯ࡀ࠶࠻⸘᷹ၮ⋚ߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ࠗࡦ࠲࡯ࡀ࠶࠻ߩᜬ⛯⊛᜛ᄢߦߣ߽ߥ޿‫࠻࠶ࡀ࡯࠲ࡦࠗޔ‬਄ߩછᗧߩ㧞࿾ὐ㑆ߩㅢାᕈ⢻ࠍ⋥ⷰ⊛ߦ੍᷹ߔࠆߎߣ߇࿎㔍ߦߥߞߡ߈ߡ޿ࠆ‫⸘ߥ⊛⛯⛮ޔ߼ߚߩߎޕ‬᷹ࠍ߽ߣߦછᗧ
ߩ㧞࿾ὐ㑆ߩㅢାᕈ⢻ࠍ੍᷹ߔࠆࠪࠬ࠹ࡓ߳ߩᦼᓙ߇㜞߹ߞߡ߈ߡ޿ࠆ‫ ߦ․ޕ‬BGP ࠍ↪
޿ߚ⚻〝೙ᓮߦ߅޿ߡߪ⚻〝ዻᕈߩᓸ⚦ߥᄌᦝ߇ㅢାᕈ⢻ߦᄙᄢߥᓇ㗀ࠍਈ߃ࠆߎߣ߇޽
ࠆߚ߼‫ߥ⊛⛯⛮ޔ‬ᕈ⢻▤ℂߣ⚻〝೙ᓮߩ᭴ᚑ▤ℂࠍਗⴕߒߡⴕ߁ᔅⷐ߇޽ࠆ‫࡯ࡃ࡯ࠝߚ߹ޕ‬࡟ࠗࡀ࠶࠻ࡢ࡯ࠢߦ߅ߌࠆ⚻〝ㆬᛯߦ߅޿ߡ߽‫⸘ޔ‬᷹⚿ᨐࠍᵴ↪ߔࠆߎߣߢᕈ⢻ᡷༀࠍⴕ߁ߎߣ߇ߢ߈ࠆ‫ⶄߦ߁ࠃߩߎޕ‬ᢙߩ↪ㅜߦ߅޿ߡછᗧߩ㧞࿾ὐ㑆ߩㅢାᕈ⢻ࠍᛠីߒߡ߅
ߊᔅⷐ߇޽ࠆߎߣ߆ࠄ‫⸘࠻࠶ࡀ࡯࠲ࡦࠗޔ‬᷹ၮ⋚߳ߩ࠾࡯࠭߇㜞߹ߞߡ޿ࠆ‫ޕ‬ᐔᚑ 20 ᐕᐲߪቇ↢ᜰዉߩ৻Ⅳߣߒߡ‫⸘࠻࠶ࡀ࡯࠲ࡦࠗޔ‬᷹ၮ⋚ N-TAP ߩᕈ⢻⹏ଔߣታዷ㐿ࠪ࠽࡝ࠝ߳ߩ⠨ኤࠍⴕߞߚ㧔ᢥ₂ 1,3,4㧕‫ޕ‬N-TAP ߪߘࠇ⥄り߇ࠝ࡯ࡃ࡯࡟ࠗࡀ࠶࠻ࡢ࡯ࠢࠍ᭴
ᚑߒߡ߅ࠅ‫⸘ޔ‬᷹୯ߩಽᢔ࡟ࡐࠫ࠻࡝ߣ໧޿วࠊߖ API ߆ࠄ᭴ᚑߐࠇࠆࠪࠬ࠹ࡓߢ޽ࠆ‫ޕ‬ࠗࡦ࠲࡯ࡀ࠶࠻⸘᷹ၮ⋚ߦ߅޿ߡߪ‫ޔ‬છᗧߩ㧞࿾ὐ㑆ߩㅢାᕈ⢻ࠍታ᷹ߔࠆߎߣߦࠃࠆᄙ
ᄢߥࠝ࡯ࡃ࡯ࡋ࠶࠼߇↢ߓࠆ‫߼ߚߩߎޕ‬น⢻ߥ㒢ࠅᣢሽߩ⸘᷹⚿ᨐࠍ߽ߣߦᄖᝌࠍⴕ߁ߎ
ߣ߇᳞߼ࠄࠇࠆߩߢ‫ޔ‬ᄖᝌࠕ࡞ࠧ࡝࠭ࡓߣߒߡ Vivaldi ࠍታⵝߒߡ޿ࠆ‫੹ޕ‬ᓟߪࠗࡦ࠲࡯
ࡀ࠶࠻ߩ᭴ᚑ▤ℂߦ߅޿ߡߎࠇࠄߩ⸘᷹⚿ᨐࠍߤߩࠃ߁ߦᵴ↪ߒߡ޿ߊߩ߆‫ߎߣ߁޿ߣޔ‬ࠈ߇ὶὐߣߥࠆ‫⸘࠻࠶ࡀ࡯࠲ࡦࠗޕ‬᷹ၮ⋚ߩࡁ࡯࠼ᢙߪ㒢ࠄࠇߡ޿ࠆߩߢ‫⸘ޔ‬᷹⚿ᨐߪᔅὼ⊛ߦㇱಽᖱႎߣߥࠄߑࠆࠍᓧߥ޿߇‫ߩ࠻࠶ࡀ࡯࠲ࡦࠗߦߣ߽ࠍࠄࠇߎޔ‬ౝㇱ⁁ᘒࠍ⸃᣿ߒߡ޿ߊㆊ⒟ߦ߅޿ߡ᭽‫ߥޘ‬ℂ⺰ࠍᔕ↪ߢ߈ࠆน⢻ᕈ߇޽ࠆ‫ޕ‬ߎߩ߶߆‫▤࠳ࠗࡃࡠࡊޔ‬ℂဳ VPN ߦ߅ߌࠆᦨૐᏪၞ଻⸽ࠨ࡯ࡆࠬߦ߅ߌࠆᏪၞഀࠅᒰߡ
ࠕ࡞ࠧ࡝࠭ࡓߦ㑐ߒߡ߽ቇ↢ᜰዉࠍⴕߞߚ㧔ᢥ₂ 2㧕‫ࠆߥߣࠢ࠶ࡀ࡞࠻ࡏޕ‬ㅢା〝߇ሽ࿷ߔࠆ႐วߦࠕࠢ࠹ࠖࡉ⸘᷹ࠍⴕ޿ߟߟ⾗Ḯഀࠅᒰߡᚢ⇛ࠍᄌൻߐߖࠆ߽ߩߢ‫ޔ‬න৻ࡊࡠࡃࠗ
࠳߇ቢోᖱႎࠍ᦭ߒߡ޿ࠆߎߣ߇೨ឭߣߥࠆ‫ޕ‬‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1) ⋉੗⾫ᰴ, 㐷ᨋ㓶ၮ. 㓏ጀဳp2pࡀ࠶࠻ࡢ࡯ࠢࠍ↪޿ߚࠗࡦ࠲࡯ࡀ࠶࠻⸘᷹ၮ⋚ߩᕈ⢻⹏ଔߣታዷ㐿ࠪ࠽࡝ࠝߩ⠨ኤ. ᖱႎಣℂቇળ⺰ᢥ⹹, Vol. 50, No. 2, pp. 709-720, 2009ᐕ2᦬.
2) Masayoshi Shimamura, Katsuyoshi Iida, Hiroyuki Koga, Youki Kadobayashi, and Suguru
Yamaguchi. Hose bandwidth allocation method to achieve minimum throughput assurance
service for provider provisioned VPNs. IPSJ Journal, Vol. 49, No. 12, pp. 3967-3984, December
2008.
3) Kenji Masui and Youki Kadobayashi. Observing the Dynamics of the Internet on Our Laptops
with an Application-Oriented Measurement Platform. In ACM SIGCOMM 2008, Demo Session,
August 2008.
4) ⋉੗⾫ᰴ, 㐷ᨋ㓶ၮ. ࠛࡦ࠼ࡁ࡯࠼߆ࠄߩIP࠻ࡐࡠࠫត⚝ߦ߅ߌࠆࡁ࡯࠼ᬌ಴࿁ᢙߦၮ
ߠߊ࠻ࡐࡠࠫ․ᕈߩಽᨆ. 㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔, IA2008-14, pp. 7-12, 2008ᐕ7᦬.

114

↥ቇቭㅪ៤⎇ⓥຬ ⋉੗ ⾫ᰴࠗࡦ࠲࡯ࡀ࠶࠻ߦ߅ߌࠆᄢⷙᮨಽᢔ࠻ࡐࡠࠫត⚝ࠪࠬ࠹ࡓߩ᭴▽‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ߹ߔ߹ߔᄢⷙᮨ࡮ⶄ㔀ൻߔࠆࠗࡦ࠲࡯ࡀ࠶࠻ߩ᭴ㅧࠍᛠីߔࠆߎߣߪ‫ޔ‬න⚐ߥ⸥㍳ߣߒߡߩߺߥࠄߕ‫੹ޔ‬ᓟߩࡀ࠶࠻ࡢ࡯ࠢ᭴ᚑ࡮ㆇ↪ᛛⴚߥࠄ߮ߦࡀ࠶࠻ࡢ࡯ࠢࠕࡊ࡝ࠤ࡯࡚ࠪ
ࡦߩ⥄ᓞേ૞ᚻᴺߩ⎇ⓥ࡮㐿⊒ߣ޿߁㕙ߦ߅޿ߡ߽㊀ⷐߢ޽ࠆ‫⎇ᧄޕ‬ⓥ㗄⋡ߢߪ‫࡯࠲ࡦࠗޔ‬ࡀ࠶࠻ߩ᭴ㅧᖱႎߣߒߡ߽ߞߣ߽ၮ␆⊛ߥ߽ߩߢ޽ࠆ IP ࠻ࡐࡠࠫᖱႎࠍࠛࡦ࠼ࡁ࡯࠼߆
ࠄ㜞ㅦߦ෼㓸น⢻ߥࠪࠬ࠹ࡓߩ᭴▽ࠍ⋡ᜰߒߡ߅ࠅ‫ߩߘޔ‬ਥߥᚑᨐߪએਅߩ 2 ὐߦⷐ⚂ߐࠇࠆ‫( ޕ‬1) ࠻ࡐࡠࠫត⚝ߢᬌ಴ߐࠇߚࡁ࡯࠼ߩᬌ಴࿁ᢙ㧔ᬌ಴ᰴᢙ㧕ࠍ⸘᷹ࡁ࡯࠼㑆ߢ౒᦭ߒ‫ޔ‬ᬌ಴ᰴᢙߩ୯߆ࠄࡁ࡯࠼ߩࡀ࠶࠻ࡢ࡯ࠢ․ᕈࠍផ᷹ߔࠆᚻᴺࠍᬌ⸛ߒߚ‫ޕ‬ផ᷹ᚻᴺ
ߩၮ␆⊛⍮⷗ࠍᓧࠆߚ߼‫ޔ‬਎⇇ਛߦಽᢔ㈩⟎ߐࠇߚ PlanetLab ࡁ࡯࠼ 86 บࠍ↪޿ߡࠗࡦ࠲࡯ࡀ࠶࠻਄ߩ⚂ 15 ਁࡁ࡯࠼ߩᬌ಴ᰴᢙߣࡁ࡯࠼․ᕈߩ㑐ଥࠍ⺞ᩏߒߚ‫⚿ߩߎޕ‬ᨐ‫౒ޔ‬↪ᕈߩ㜞޿ࡁ࡯࠼ߢ޽ࠆ߆ุ߆ࠍ್೎ߔࠆߚ߼ߩᬌ಴ᰴᢙߩ㑣୯ߥߤߩ⍮⷗߇ᓧࠄࠇ‫ߎޔ‬ࠇߪ੹ᓟផ᷹ᚻᴺߩ♖ᐲࠍะ਄ߐߖࠆߚ߼ߦ᦭↪ߢ޽ࠆߣᦼᓙߐࠇࠆ‫( ޕ‬2) ⶄᢙ⸘᷹ࡁ࡯
࠼ߢߩല₸⊛ߥ IP ࠻ࡐࡠࠫត⚝ᚻᴺߣߒߡᵈ⋡ߐࠇߡ޿ࠆ Doubletree ࠍࡌ࡯ࠬߦߒߚ࠻
ࡐࡠࠫត⚝ࠪࠬ࠹ࡓ DTS ࠍ᭴▽ߒߚ‫ޕ‬DTS ࠍേ૞ߐߖࠆߎߣߢ Doubletree ߇ታࡀ࠶࠻
ࡢ࡯ࠢⅣႺߦ߅޿ߡ࠻ࡐࡠࠫត⚝࿁ᢙࠍ߅ࠃߘඨᷫߒ߁ࠆ⢻ജ߇޽ࠆߎߣࠍ⏕⹺ߒ‫ߟ߆ޔ‬
DTS ߪ⸘᷹ࡁ࡯࠼ߩ᡿㓚ߩ㓙߽⛮⛯േ૞น⢻ߢ޽ࠆߎߣ߆ࠄ‫ޔ‬ᐢၞ࠻ࡐࡠࠫត⚝ࠪࠬ࠹ࡓߣߒߡߩ DTS ߩఝ૏ᕈ߇␜ߐࠇߚ‫ޕ‬ᐢၞࡀ࠶࠻ࡢ࡯ࠢ․ᕈߩนⷞൻ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ࠗࡦ࠲࡯ࡀ࠶࠻᷹ⷰߦࠃࠅᓧࠄࠇߚᄢ㊂ߩ࠺࡯࠲ࠍ‫ੱޔ‬㑆ߦߣߞߡᗧ๧ߩ޽ࠆᒻߢ‫߆ޔ‬
ߟℂ⸃ߒ߿ߔ޿ᒻߢ޿߆ߦឭ␜ߔࠆ߆‫⎇ᧄޕࠆ޿ߡ޿⛯߇⺰⼏ޔ‬ⓥ㗄⋡ߢߪ‫ޔ‬හᤨᕈߣᐢ
ၞᕈࠍ㊀ⷞߒߚࠗࡦ࠲࡯ࡀ࠶࠻᷹ⷰၮ⋚ N-TAP ߆ࠄᓧࠄࠇࠆࠗࡦ࠲࡯ࡀ࠶࠻ߩฦ⒳․ᕈᖱႎ㧔ࡁ࡯࠼㑆 RTT‫ޔ‬IP ࠻ࡐࡠࠫߥߤ㧕ࠍนⷞൻߔࠆ࠰ࡈ࠻࠙ࠚࠕ Astrolabe ࠍ㐿⊒ߒ‫ޔ‬޿ߊߟ߆ߩᖱႎนⷞൻᚻᴺࠍ៞タߒߡ౏㐿ߔࠆߎߣߢ‫᦭ߩߘޔ‬ലᕈࠍᬌ⸽ߒߚ‫ޕ‬Astrolabeߪ⃻ᤨὐߢ‫ޔ‬છᗧߩ 2 ࡁ࡯࠼㑆ߩធ⛯ᕈ߅ࠃ߮ RTT ࠍࡑ࠻࡝ࠢࠬ⁁ߦนⷞൻߔࠆ
connectivity grids‫࠼࡯ࡁޔ‬㑆 RTT ࠍ〒㔌ߦኻᔕߐߖ࡙࡯ࠢ࡝࠶࠼ⓨ㑆਄ߦࡁ࡯࠼ࠍ㈩⟎ߔࠆߎߣߢࡀ࠶࠻ࡢ࡯ࠢ〒㔌ߩᛠីࠍኈᤃߦߔࠆ RTT map‫ߡߒߘޔ‬ᐢၞ IP ࠻ࡐࡠࠫࠍ⴫
␜ߔࠆ topology viewer ߩ 3 ⒳㘃ߩนⷞൻᚻᴺࠍ៞タߒߡ޿ࠆ‫ߩࠄࠇߎޕ‬นⷞൻᚻᴺߪࠕ
࠾ࡔ࡯࡚ࠪࡦࠍ↪޿ࠆߎߣߢࡀ࠶࠻ࡢ࡯ࠢ․ᕈߩㆫ⒖ࠍ⴫⃻ߒߡ߅ࠅ‫ࡦࠗ࠹࠲ࡦࠛߩߘޔ‬ࡔࡦ࠻ᕈ߽ടࠊߞߡ‫ޔ‬ฦ⒳࠺ࡕዷ␜ߢߪ᣿ᔟߐߦኻߒߡᅢ⹏ࠍᓧߡ޿ࠆ‫੹ޕ‬ᓟ‫ޔ‬ᣢሽߩน
ⷞൻᚻᴺࠍᵞ✵ߔࠆߣߣ߽ߦߐࠄߦᄙߊߩᚻᴺࠍ៞タߔࠆߎߣߢ‫ߩ࠻࠶ࡀ࡯࠲ࡦࠗޔ‬ᐢၞ․ᕈߩᛠីߦ㑐ߔࠆᛛⴚߩ⃻⁁ࠍࠊ߆ࠅ߿ߔ޿ᒻߢવ㆐ߔࠆᵴേࠍ⛮⛯ߒߡ޿ߊ‫ޕ‬115

‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1) Kenji Masui, “Enhancing End-System Capabilities on the Internet with aLarge-Scale Observational Approach.” Ph.D. thesis, Nara Institute of Science andTechnology, January 2009.
2) ⋉੗⾫ᰴ㧘㐷ᨋ㓶ၮ㧚㓏ጀဳ P2P ࡀ࠶࠻ࡢ࡯ࠢࠍ↪޿ߚࠗࡦ࠲࡯ࡀ࠶࠻⸘᷹ၮ⋚ߩᕈ⢻⹏ଔߣታዷ㐿ࠪ࠽࡝ࠝߩ⠨ኤ㧚ᖱႎಣℂቇળ⺰ᢥ⹹㧘Vol. 50㧘No. 2㧘pp. 709–720㧘
2009 ᐕ 2 ᦬㧚3) Kenji Masui and Youki Kadobayashi, “Observing the Dynamics of the Internet on
Our Laptops with an Application-Oriented Measurement Platform.” In
Proceedings of ACM SIGCOMM Conference 2008, Demo Session, August 2008.
4) Kenji Masui and Benoit Donnet, “DTS: a Decentralized Tracing System.” In
Proceedings of the 1st International Workshop on Traffic Monitoring and Analysis(TMA'09), May 2009 (to appear).
5) ⋉੗⾫ᰴ㧘㐷ᨋ㓶ၮ㧚ࠛࡦ࠼ࡁ࡯࠼߆ࠄߩ IP ࠻ࡐࡠࠫត⚝ߦ߅ߌࠆࡁ࡯࠼ᬌ಴࿁ᢙ
ߦၮߠߊ࠻ࡐࡠࠫ․ᕈߩಽᨆ㧚㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔㧘Vol. 108㧘No. 120㧘
IA2008-14㧘pp. 7–12㧘2008 ᐕ 7 ᦬㧚6) ᄢḴᜏ਽㧘⋉੗⾫ᰴ㧘㘵↰ൎศ㧚㊀ⶄ⚻〝ߩ೥ᷫࠍ⋡⊛ߣߔࠆ AS 㑆ࠝ࡯ࡃ࡟ࠗ⚻〝೙ᓮߩߚ߼ߩࠢࡠࠬ࡟ࠗࡗࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ৻ᬌ⸛㧚㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ
๔㧘Vol. 108㧘No. 258㧘NS2008-70㧘pp. 13–18㧘2008 ᐕ 10 ᦬㧚7) ↰ਛᓆ㧘᎑᧛᣽⟵㧘⋉੗⾫ᰴ㧘㘵↰ൎศ㧚᦭ኂࠦࡦ࠹ࡦ࠷ᛥ೙ࠍ⋡⊛ߣߒߚࡇࠕߣࠦ
ࡦ࠹ࡦ࠷෺ᣇߦ࡟ࡇࡘ࠹࡯࡚ࠪࡦࠍ↪޿ࠆ P2P ࠦࡦ࠹ࡦ࠷ᵹㅢᚻᴺߩឭ᩺㧚㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔㧘Vol. 108㧘No. 457㧘NS2008-168㧘pp. 141–146㧘2009 ᐕ
3 ᦬㧚8) ਃቛశᄥ㇢㧘⋉੗⾫ᰴ㧘㘵↰ൎศ㧚ࡊࡠࠠࠪဳࡕࡃࠗ࡞ㅢାߦ߅ߌࠆࡁ࡯࠼ߩ૏⟎ᖱႎṳᵨߩಽᨆߣ⸵ኈㆃᑧࠍ⠨ᘦߒߚኻ╷ߩឭ᩺㧚㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔㧘Vol.
108㧘No. 457㧘 NS2008-229㧘pp. 483–488㧘2009 ᐕ 3 ᦬㧚9) Hieu Hanh Le, Masayoshi Shimamura, Kenji Masui, and Katsuyoshi Iida, “A
Study on XCP Routers' Misbehaviors on Congestion Control.” In Technical Reportof IEICE, Vol. 108, No. 460, IA2008-75, pp. 49–54, March 2009.

116 ⎇ⓥ࡮ᢎ⢒ၮ⋚ㇱ㐷ᢎ᝼ ᧻ጟ ⡡㧔໧㗴⸃᳿ᡰេⅣႺಽ㊁㧕ᧄᐕᐲߪ᭽‫ߥޘ‬㕙ߢ⎇ⓥ⠪ߣߒߡ߽㕖Ᏹߦᄙߊߩᚑᨐࠍ޽ߍ‫ޔ‬࿖㓙⊛ߥ⹺⍮ࠍ㜞߼‫߆ޔ‬
ߟ HPC ࠦࡒࡘ࠾࠹ࠖߦࡔࠫࡖ࡯ߥᒻߢ⽸₂ߔࠆߎߣ߇ߢ߈ߚ‫ߩࠕ࡝ࡖࠠޔ‬ਛߢ߽ࡌࠬ࠻
ߥᐕߣߥߞߚ‫⎇ߩࠇߙࠇߘޕ‬ⓥ㗄⋡ߪਅ⸥ߦ೉᜼ߔࠆ߇‫ߪߢߎߎޔ‬೨⸒ߣߒߡ୘‫⎇ߩޘ‬ⓥ
㗄⋡ߦ౒ㅢߥ୘ੱߩ⎇ⓥ⠪ߣߒߡߩᵴേ߿ࠗࡌࡦ࠻ߥߤࠍ߹ߕߪ⸥ߔࠆߎߣߦߔࠆ‫ޕ‬zInternational Supercomputing Conference 08 ߦ߅ߌࠆࠝ࡯ࡊ࠾ࡦࠣࠠ࡯ࡁ࡯࠻
⻠Ṷߥߤ‫ޕ‬ߔߢߦ 3.1 ߩ TSUBAME ߩ㗄ߢㅀߴߚ⻉੐ߣ޽ࠆ⒟ᐲߩ㊀ⶄߣߥࠆ߇‫ޔ‬6 ᦬
18-20 ᣣ ߦ ࠼ ࠗ ࠷ ࡮ ࠼ ࡟ ࠬ ࠺ ࡦ Ꮢ ߢ 㐿 ௅ ߐ ࠇ ߚ ᰷ Ꮊ International
Supercomputing Conference(ISC08)ߢ‫ ”ޔ‬Everybody Supercomputes in the
Next Generation Cyber-Science Infrastructure or 30 years of commodity
computing till now, and the next 30 years” ߣ㗴ߒ‫ޔ‬TSUBAME ߅ࠃ߮ߘࠇߦ
⥋ࠆㆊ෰ࠃࠅߩ⥄ઁߩ⎇ⓥ‫੹ߪߦࠄߐޔ‬ᓟߩᄢⷙᮨਗ೉ಣℂߩ዁᧪੍᷹ࠍਛᔃߣ
ߒߚࠝ࡯ࡊ࠾ࡦࠣࠠ࡯ࡁ࡯࠻⻠Ṷࠍⴕߞߚ‫ޕ‬ISC ߪ਎⇇ੑᄢࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯
࠹ࠖࡦࠣળ⼏ߩ৻ߟߢ޽ࠅᲤᐕ‫ޔ‬ජੱએ਄ߩෳട⠪߇޽ࠆ‫ߡ޿߅ߦߎߘޕ‬ᣣᧄੱߣߒߡߪߓ߼ߡࠠ࡯ࡁ࡯࠻⻠Ṷ߇ⴕ߃ߚߩߪ‫ޔ‬ᄢᄌᩕ⹷ߥߎߣߢ޽ࠅ‫⻠ޔ‬Ṷᓟߩ෻ᔕ߽ᄢ재⹏ߢ޽ߞߚ‫ޕ‬ ᧄᐕᐲߦ߅޿ߡߪߘࠇ߇ᦨೋߩ᜗ᓙ⻠Ṷߛߞߚ߇‫ߩߘޔ‬ᓟ᭽‫ߥޘ‬ଐ㗬߇⋧ᰴ߉‫ޔ‬
ᐔᚑ 20 ᐕᐲߢߪ✚⸘ߢ 18 ઙߩࠠ࡯ࡁ࡯࠻⻠Ṷ࡮᜗ᓙ⻠Ṷࠍ࿖㓙ળ⼏߆ࠄડᬺ࠮
ࡒ࠽࡯ߦ⥋ࠆ߹ߢ‫ޔ‬᭽‫ߥޘ‬ᯏળߢⴕߞߚ‫ߦ․ޕ‬ᶏᄖ߆ࠄߩଐ㗬߇ᄙ߆ߞߚߩ߇
TSUBAME ߿ઁߩ⎇ⓥߩ࿖㓙⊛ߥࠗࡦࡄࠢ࠻ߩ⸽ߣߥߞߡ޿ࠆߣ⠨߃ࠆ‫ޕ‬z

ACM/IEEE Supercomputing ߦ߅ߌࠆ Steering Group Member ߅ࠃ߮ 2009 ᐕᐲߩ Technical Papers Chair ߩዞછ
ACM/IEEE Supercomputing (SC)ߪ‫ޔ‬਎⇇ᦨᄢߢ߽ߞߣ߽ᮭᆭߩ޽ࠆࠬ࡯ࡄ࡯ࠦ
ࡦࡇࡘ࡯࠹ࠖࡦࠣߩ࿖㓙ળ⼏ߢ‫ޔ‬Ფᐕ☨࿖ߢ৻ਁੱએ਄ࠍ㓸߼ߡ㐿௅ߐࠇࠆ‫੹ޕ‬ᐕߪ࠹ࠠࠨࠬᎺߩࠝ࡯ࠬ࠹ࠖࡦᏒߢ 11 ᦬ 15-20 ᣣߩ㑆㐿௅ߐࠇ‫᧲ޔ‬Ꮏᄢ߽ࡉ࡯
ࠬࠍ಴ዷߒߚ‫᧻ޕ‬ጟߪᧄᐕᐲߩળ⼏ߢߪ೽⺰ᢥᆔຬ㐳ߣߒߡ Grids Area ᜂᒰߣߥࠅ‫ޔ‬ᩏ⺒ߦ⽸₂ߒߚ‫ߦࠄߐޕ‬หળ⼏ߦ߅޿ߡ‫ోޔ‬૕ߩળ⼏ㆇ༡ࠍขࠅ઀ಾࠆ
Steering Group‫ޔ‬ਗ߮ߦ 2009 ᐕᐲߩో૕ߩ Technical Papers Chair(⺰ᢥᆔຬ㐳)ߦㆬ಴ߐࠇߚ‫߽ࠄߜߤޕ‬ᣣᧄੱߣߒߡߪೋ߼ߡߢ޽ࠅ‫ޔ‬㐳ᐕߩ HPC ࠦࡒࡘ࠾࠹ࠖ
ߦ߅ߌࠆᚑᨐߣ⽸₂߇⹺߼ࠄࠇߚ߽ߩߢ޽ࠆߣߺߥߖࠆ‫ޔߦߺߥߜޕ‬SC ߦߪ

117

ACM SIGGRAPH ߣห᭽‫ోޔ‬਎⇇߆ࠄ 300 ߽ߩ⺰ᢥ߇ᛩⓂߐࠇ‫ޔ‬ណᛯ₸ߪ 20㧑ᒝߢ޽ࠅ‫ޔ‬HPC ߢߪᦨ߽㔍㑐߆ߟࠕࠞ࠺ࡒ࠶ࠢߦ߽ᮭᆭߩ޽ࠆળ⼏ߢ߽޽ࠅ‫ޔ‬หᤨߦᄙߊߩડᬺ߿⎇ⓥᚲ‫߇࡯࠲ࡦ࠮ࡦࠦࡄࠬޔ‬ዷ␜߿ઁߩࠗࡌࡦ࠻ࠍⴕ߁ࠪࡦ
ࡐࠫ࠙ࡓߢ߽޽ࠆߩߢ‫⺰ޔ‬ᢥᆔຬ㐳ߣห᭽ Steering Group ߪනߥࠆฬ⹷⡯ߢߪߥߊ‫⽿ߩߘޔ‬ോߪ㊀޿‫ޕ‬zᖱႎಣℂ 10 ᦬ภ‫ޟ‬ᖱႎ῜⊒․㓸‫ޔޠ‬2 ᦬ภ‫․࠲࡯࡟࡜࠮ࠢࠕޟ‬㓸‫ޔޠ‬ਗ߮ߦ IEEE
Computer ߦ߅ߌࠆ NAREGI ߩ․㓸⸥੐ߥߤᧄᐕᐲߪ᧻ጟ߇ਥቿߔࠆਅ⸥ߩฦ⒳⎇ⓥࡊࡠࠫࠚࠢ࠻ߩᐞߟ߆ࠍᖱႎಣℂቇળߩᯏ㑐⚕ߢ޽ࠆ‫ޟ‬ᖱႎಣℂ‫․ߩޠ‬㓸⸥੐ߣߒߡ(⸃⺑⸥੐  ‫ ߚ߹ޔ‬IEEE
Computer Society ߩ IEEE Computer (ᩏ⺒ઃࠫࡖ࡯࠽࡞࡮ᩏ⺒ઃ࿖㓙ቇળ ⇟)ߦ߅޿ߡ․㓸⺰ᢥߣߒߡਥ⪺⠪ߣߒߡ⊒⴫ߔࠆߎߣ߇ߢ߈ߚ‫৻ࠇߙࠇߘޕ‬ઙߩ⸥੐߿⺰ᢥࠍਥ⪺⠪ߣߒߡ⊒⴫ߔࠆߛߌߢ߽శᩕߥߎߣߢ޽ࠆ߇‫ࠍࠇߘޔ‬ਃᧄ߽೎࠹࡯ࡑߢឥ߃ࠆߎߣ߇ߢ߈ߚߩߪ⎇ⓥ⠪ߣߒߡᄢᄌฬ⹷ߥߎߣߢ޽ߞߚ‫ޕ‬‫ޟ‬ᖱႎಣℂ‫ޠ‬ੑ᦬ภᦨᓟߦ‫ޔ‬TSUBAME1. ߅ࠃ߮ 2.0 ߩㆇ↪࡮⸳⸘‫⎇ࠆࠊߟ߹ߦࠄࠇߘߦࠄߐޔ‬ⓥ㐿⊒ࠍᄙߊⴕ߁ߎߣ߇ߢ߈ߚ߇‫߮ࠃ߅ࠬࠢ࠶ࡇ࠻ߪࠄࠇߘޔ‬㗄⋡ 3-1 ߦ⼑ࠆߩߢ‫ޔ‬ෳᾖߐࠇߚ޿‫ޕ‬118

1. ᖱႎ῜⊒ᤨઍߦኻᔕߔࠆ㜞ᐲߦࠬࠤ࡯࡜ࡉ࡞ߥ㜞ᕈ⢻⥄ᓞ᭴ᚑታⴕၮ⋚ᖱႎ῜⊒ᤨઍߦኻᔕߢ߈ࠆ⸘▚ၮ⋚ߣߒߡ‫ޔ‬100 ਁߩࠝ࡯࠳ߩࡁ࡯࠼߆ࠄߥࠆ⿥ಽᢔⅣ
Ⴚ਄ߢᄙ⒳ߥࠕࡊ࡝ࠤ࡯࡚ࠪࡦࠍ቟ో቟ᔃߦታⴕߢ߈ࠆၮ⋚ᛛⴚ߳ะߌߚ⎇ⓥࠍ㧘⑼ቇ⎇ⓥ⾌․ቯ㗔ၞߩេഥࠍᓧߡផㅴߒߡ޿ࠆ‫ޕ‬ᣢሽ⎇ⓥߢߪ‫࠻࠶ࡀ࡯࠲ࡦࠗޔ‬਄ߩ⣀ᒙߢᄙᢙߩࡁ࡯࠼ߩ⸘▚ⅣႺߣߒߡߩ೑↪ߪ Web ߦၮߠߊ߽ߩ߿ࡑࠬ࠲ࡢ࡯ࠞߩࠃ߁ߥන⚐ߢ⇹⚿วߥᔕ↪ߦ㒢ࠄࠇߡ޿ࠆ‫৻ޕ‬ᣇ‫ޔ‬㗎ᒝߥၮ⋚ࠍࡌ࡯ࠬߣߒߚᓥ᧪ဳࠣ࡝࠶࠼ߦ߅޿ߡ⸘
▚ၮ⋚ⅣႺߩᢛ஻ߪㅴࠎߢ޿ࠆ߽ߩߩ‫ߩߘޔ‬ᢥ⣂ߢߪㅢᏱߩࠗࡦ࠲࡯ࡀ࠶࠻ߩ⩨ᄢߥ⸘▚⾗Ḯߩᵴ↪ߪଐὼలಽߢߥ޿‫ޕ‬዁᧪ߩᖱႎ῜⊒ߦኻᔕߔࠆߚ߼ߦߪ‫⿥ޔ‬ಽᢔⅣႺߦ߅޿ߡ
⸘▚⾗Ḯߩ⸳ቯࠍੱᚻߦ㗬ࠄߕ‫ޔ‬㜞ᕈ⢻ߥ઒ᗐ⸘▚ⅣႺ߇⥄ᓞ⊛ߦ‫ޔ‬ᔅⷐߦᔕߓߡ᭴ᚑߐ
ࠇ‫ߩߘޔ‬਄ߢ⒳‫߇ࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕߩޘ‬቟ో቟ᔃ߆ߟ㜞ᕈ⢻ߦታⴕߢ߈ࠆࠪࠬ࠹ࡓ߅ࠃ߮
ߘߩᛛⴚߩ⎇ⓥ߇ᕆോߢ޽ࠆ‫ߩ⌀ޕ‬㜞ᐲߦࠬࠤ࡯࡜ࡉ࡞ߥ⥄ᓞ⊛ታⴕၮ⋚‫࡮࠻ࡦࠛ࡝ࠫ࡝ޟ‬ࠣ࡝࠶࠼(Resilient Grid)‫ࠍޠ‬᭴▽ߔࠆߎߣࠍ⋡⊛ߦ‫ᧄޔ‬ᐕᐲߪએਅߩ⎇ⓥ㗄⋡ߦߟ޿ߡⷐ
⚛ᛛⴚߩ⎇ⓥࠍផㅴߒߚ‫ޕ‬
1.1. ઒ᗐࡑࠪࡦࡑࠗࠣ࡟࡯࡚ࠪࡦࠍ↪޿ߚࡈࠔࠗ࡞ࠕࠢ࠮ࠬ㜞ㅦൻᚻᴺߩឭ᩺ߣ⹏ଔ
࠺࡯࠲ࠗࡦ࠹ࡦࠪࡉࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩታⴕⅣႺߣߒߡࠣ࡝࠶࠼ߩ೑↪߇ታ↪⊛ߦߥࠅߟߟ޽ࠆ‫ࠅࠃޕ‬ᄢⷙᮨߥ࠺࡯࠲߇೑↪น⢻ߣߥࠆ৻ᣇ‫ޔ‬࿾ℂ⊛ߦಽᢔߒߚࡈࠔࠗ࡞߳ߩࠕ
ࠢ࠮ࠬߦࠃࠆࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩᕈ⢻ૐਅ߇⊒↢ߒߡߒ߹߁‫ޕ‬ߘߎߢᚒ‫ޔߪޘ‬ᄙᢙߩ઒ᗐࡑࠪࡦ߇ᐢၞಽᢔߒߚ઒ᗐࠢ࡜ࠬ࠲ࠍኻ⽎ߣߒ㧘ߘߩ਄ߢࡈࠔ
ࠗ࡞ࠕࠢ࠮ࠬߩ㜞ㅦൻᚻᴺࠍឭ᩺ߔࠆ‫ޕ‬઒ᗐࡑࠪࡦߩേ⊛ࡑࠗࠣ࡟࡯࡚ࠪࡦᯏ⢻ࠍએਅߩࠃ߁ߦ೑↪ߔࠆ‫ߩ࡞ࠗࠔࡈࠆߔࠬ࠮ࠢࠕ߇ࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕޕ‬㗅ᐨߣࠨࠗ࠭‫ޔ‬ታⴕⅣႺߩࡁ࡯࠼㑆ߩࡀ࠶࠻ࡢ࡯ࠢࡃࡦ࠼᏷߇ᣢ⍮ߢ޽ࠆߣ઒ቯߒߚߣ߈ߦ‫ࠦߩࠬ࠮ࠢࠕ࡞ࠗࠔࡈޔ‬ࠬ࠻ߣ઒ᗐࡑࠪࡦߩࡑࠗࠣ࡟࡯࡚ࠪࡦ߆ࠄߥࠆ࠺࡯࠲ࠕࠢ࠮ࠬߩࠦࠬ࠻ߦᔕߓߡ‫࠲ߩߤޔ‬ࠗࡒࡦࠣߢ‫ࠍ߆ߩࠆߔࡦ࡚ࠪ࡯࡟ࠣࠗࡑߦ࠻ࠗࠨߩߤޔ‬᳿ቯߔࠆ‫ ޕ‬ᚒ‫ߩߎޔߪޘ‬໧㗴ࠍ઒ᗐࡑࠪࡦ߇⒖േߔࠆࠨࠗ࠻ࠍ㗂ὐߣߒߚ᦭ะ㕖ᓴⅣࠣ࡜ࡈ(DAG)ߣߒߡ⴫⃻ߒ‫ޔ‬ㄝߩ㊀ߺࠍࡑࠗࠣ࡟࡯࡚ࠪࡦᤨ㑆‫ޔ‬㗂ὐߩ㊀ߺࠍࡈࠔࠗ࡞ࠕࠢ࠮ࠬᤨ㑆ߣߒߚߣ߈ߩᦨ⍴⚻〝໧㗴ߦᏫ⌕ߔࠆߎߣߢ⸃ߊ‫ޕ‬
ឭ᩺ᚻᴺࠍࠪࡒࡘ࡟࡯࡚ࠪࡦߦࠃࠅ⹏ଔߒߚ⚿ᨐ‫ޔ‬Ᏹߦ࡝ࡕ࡯࠻߆ࠄࡈࠔࠗ࡞߳ࠕࠢ࠮
ࠬߔࠆ႐วߦᲧߴᦨᄢߢ 40%‫ߩ࡞ࠗࠔࡈޔ‬ሽ࿷ߔࠆ႐ᚲ߳Ფ࿁ࡑࠗࠣ࡟࡯࡚ࠪࡦࠍⴕ߁႐
วߦᲧߴᦨᄢߢ 54%ߩࠬ࡞࡯ࡊ࠶࠻ะ਄ࠍ⏕⹺ߒߚ‫੹ޕ‬ᓟߪࡈࠔࠗ࡞ࠕࠢ࠮ࠬࡠࠣ߆ࠄ
ࡈࠔࠗ࡞ߩଐሽ㑐ଥࠍ᛽಴ߒ‫੍ࠍࡦ࡯࠲ࡄࠬ࠮ࠢࠕ࡞ࠗࠔࡈࠄ߆ߎߘޔ‬᷹ߔࠆߎߣߢ‫ࠃޔ‬
ࠅታⅣႺࠍᗧ⼂ߒߚࡈࠔࠗ࡞ࠕࠢ࠮ࠬᚻᴺࠍᬌ⸛ߒߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬119

1.2. ࠣ࡝࠶࠼ࡈࠔࠗ࡞ࠪࠬ࠹ࡓߦ߅ߌࠆࠕࠢ࠮ࠬࡄ࠲࡯ࡦߣᕈ⢻ࠍ⠨ᘦߒߚⶄ⵾㈩⟎ࡈࠔࠗ࡞ࠪࠬ࠹ࡓࠍ↪޿ߚࠣ࡝࠶࠼ⅣႺߢߩᄢⷙᮨߥ࠺࡯࠲౒᦭ߪ‫ࡓ࠹ࠬࠪ࡞ࠣࡦࠪޔ‬ࠗࡔ࡯ࠫࠍታ⃻ߒ‫ߩࠩ࡯࡙ޔ‬೑ଢᕈࠍะ਄ߐߖࠆ᦭ലߥᚻᴺߢ޽ࠆ‫߳࡞ࠗࠔࡈޔߒ߆ߒޕ‬ߩࠕࠢ࠮ࠬ㓸ਛ߿㆙ᣇ߳ߩࡈࠔࠗ࡞ࠕࠢ࠮ࠬߥߤ‫ޔ‬ਇဋ⾰ߥⅣႺߢߩ‫ޔ‬ᾘ㔀ߥ࠺࡯࠲▤ℂ
߇⊒↢ߔࠆߎߣ߇໧㗴ߣߥࠆ‫ޕ‬ᚒ‫ࠬ࠮ࠢࠕߩ࡞ࠗࠔࡈޔߪޘ‬㗫ᐲ߿▤ℂࡐ࡝ࠪ࡯ߦᔕߓߡ
⥄േ⊛ߦࡈࠔࠗ࡞ߩⶄ⵾㈩⟎ࠍ᳿ቯߔࠆࠕ࡞ࠧ࡝࠭ࡓࠍឭ᩺ߒߚ‫ޕ‬ឭ᩺ࠕ࡞ࠧ࡝࠭ࡓߢߪ‫ޔ‬ߎߩⶄ⵾㈩⟎໧㗴ࠍࠕࠢ࠮ࠬᤨ㑆‫ࠫ࡯࡟࠻ࠬޔ‬ኈ㊂‫ޔ‬෸߮‫ޔ‬ォㅍᤨ㑆ߩᦨዊൻࠍ㑐ᢙߣߔ
ࠆ 0-1 ᢛᢙ⸘↹໧㗴ߦᏫ⌕ߒ‫ࠅࠃߦࠣࡦ࡝࠲࠾ࡕߩࠬ࠮ࠢࠕ࡞ࠗࠔࡈޔ‬ᓧࠄࠇߚᖱႎࠍ೑
↪ߔࠆߎߣߦࠃࠅ⸃ߊ‫⹏ߩߢࡦ࡚ࠪ࡯࡟ࡘࡒࠪޕ‬ଔߢߪ‫⵾ⶄޔ‬૞ᚑࠍⴕࠊߥ޿ᚻᴺ‫ࠢࠕޔ‬࠮ࠬᤨߦⶄ⵾ࠍࠠࡖ࠶ࠪࡘߔࠆᚻᴺ‫࠻ࠗࠨޔ‬Ფߦⶄ⵾ࠍᜬߟᚻᴺߥߤߩන⚐ߥⶄ⵾▤ℂᚻ
ᴺߣᲧセߒߡ‫↪૶ࠫ࡯࡟࠻ࠬޔ‬㊂ࠍૐߊ଻ߜߟߟ‫ޔߟ߆ޔ‬㜞޿ࠬ࡞࡯ࡊ࠶࠻ᕈ⢻ࠍ㆐ᚑߔࠆⶄ⵾㈩⟎ࠍ⥄േ⊛ߦታ⃻ߔࠆߎߣࠍ⏕⹺ߒߚ‫⃻ޔߚ߹ޕ‬࿷‫ߩߎޔ‬ឭ᩺ࠕ࡞ࠧ࡝࠭ࡓࠍᣢ
ሽߩࠣ࡝࠶࠼ࡈࠔࠗ࡞ࠪࠬ࠹ࡓ(Gfarm)ߦㆡ↪ߒ‫ޔ‬ᣣᧄߩⶄᢙᄢቇߦ߹ߚ߇ߞߚࠣ࡝࠶࠼
࠹ࠬ࠻ࡌ࠶࠼ߢ޽ࠆ InTrigger ߦ㈩஻ߒߡ‫ޔ‬ታࠕࡊ࡝ࠤ࡯࡚ࠪࡦ(Blast)ࠍ↪޿ߚ᦭ലᕈߩ
ᬌ⸛ࠍⴕߞߡ߅ࠅ‫᧪ޔ‬ᐕᐲ߽⛮⛯ߒߡⴕ߁੍ቯߢ޽ࠆ‫ޕ‬
1.3. ౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫࠍ⠨ᘦߒߚᄢⷙᮨࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩࡑࠗࠣ࡟࡯࡚ࠪࡦᦨㆡൻ
ㄭᐕ‫ޔ‬ᄢⷙᮨਗ೉ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩ࡚ࠫࡉታⴕᤨ㑆ߩᦨㆡൻ߿‫ޔ‬ಽᢔⅣႺ਄ߦ߅ߌࠆ
቟ቯ⊛ߥታⴕߩߚ߼ߦ‫ⶄޔ‬ᢙࡊࡠ࠮ࠬߦࠃߞߡ᭴ᚑߐࠇࠆ࡚ࠫࡉో૕ࠍേ⊛ߦࡑࠗࠣ࡟࡯
࡚ࠪࡦߔࠆⷐ᳞߇޽ࠆ‫ߩ࠭ࠗࠨ࡝ࡕࡔߩࡦࠪࡑ߮ࠃ߅࠭ࠗࠨߩࡉ࡚ࠫޔߒ߆ߒޕ‬Ⴧട௑ะߦ઻޿‫߽࠻ࠬࠦࡦ࡚ࠪ࡯࡟ࠣࠗࡑޔ‬Ⴧടߒߡߒ߹߁‫ޕ‬ᧄ⎇ⓥߢߪ‫ޔ‬ᄢⷙᮨࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩࡊࡠ࠮ࠬ㑆౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫࠍ᛽಴ߔࠆߎߣ
ߦࠃࠆࡔࡕ࡝ࠗࡔ࡯ࠫォㅍߩᦨㆡൻᚻᴺࠍឭ᩺ߔࠆ‫ޕ‬HPL ߩࠃ߁ߥࡊࡠ࠮ࠬ㑆ߢ଻ᜬߔࠆ
ⴕ೉࠺࡯࠲߇ቢోߦ⇣ߥࠆ႐ว‫ᧄޔ‬ᚻᴺߦࠃࠆ౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫ᛽಴ߪ㔍ߒ޿߇‫ޔ‬
Povray ߩࠃ߁ߥ 3D ࡟ࡦ࠳࡝ࡦࠣ࠷࡯࡞ߢߪ౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫߩ᛽಴߇㜞޿ഀวߢ⊒⷗ߐࠇࠆߎߣ߇੍஻⹏ଔߢ᷹ⷰߐࠇߡ޿ࠆ‫ޔߪࠇߎޕ‬Povray ߩ႐ว‫ࠬ࠮ࡠࡊޔ‬㑆ߢ౒ㅢߔࠆ
࠺࡯࠲߇ 90%એ਄ߣᄙ޿ߎߣ߇ℂ↱ߣߒߡ⠨߃ࠄࠇࠆ‫ޕ‬ ߎߩ੍஻⹏ଔࠍ߽ߣߦ‫ޔ‬ਗ೉ࡊࡠ࠮ࠬࠗࡔ࡯ࠫߩ࿶❗࡮ォㅍ࡮ዷ㐿ࠍⴕ߁ࠪࠬ࠹ࡓߩࡊ
ࡠ࠻࠲ࠗࡊࠍ૞ᚑߒ‫ޔ‬ฦࡈࠚ࡯࠭ߩᕈ⢻⹏ଔࠍⴕߞߚ‫ޕ‬ታ㛎ߦߪ೨ㅀߩ InTrigger ࠣ࡝࠶࠼࠹ࠬ࠻ࡌ࠶࠼ࠍ↪޿ߚ‫⚿ߩߘޕ‬ᨐ 32 ࡊࡠ࠮ࠬߩ Povray ߦ߅޿ߡߪࠨࠗ࠻㑆ㅢା㊂ࠍ⚂
20 ಽߩ 1 ߦᛥ߃ࠆߎߣ߇ߢ߈‫ޔ‬ㅢାᤨ㑆߽ߘࠇߦᲧ଀ߒߡ⍴❗ߢ߈ߚ‫৻ޕ‬ᣇ‫ޔ‬࿶❗ߩߚ߼ߩ⸘▚ᤨ㑆߇਄⸥ߩᤨ㑆⍴❗ࠍᛂߜᶖߒߡߒ߹ߞߡ޿ࠆ‫ߩߎޕ‬ේ࿃ߪᣢሽߩᏅಽ࠷࡯࡞ࠍ
೑↪ߒߡ޿ࠆߚ߼ߢ޽ࠆߣಽ߆ߞߚ‫੹ޕ‬ᓟߩ⺖㗴ߪ‫ޔ‬㜞ㅦߢࠬࠤ࡯࡜ࡉ࡞ߥᏅಽ૞ᚑᚻᴺ
ߩ㐿⊒ߥߤߢ޽ࠆ‫ޕ‬120

1.4. ⥄ᓞ᭴ᚑน⢻ߥࠬࠤ࡯࡜ࡉ࡞ߥ⠴᡿㓚 MPI ታⴕၮ⋚ ⸘▚ᯏⅣႺߩᄢⷙᮨൻߦ઻޿‫ޔ‬⠴᡿㓚ᛛⴚߪਇนᰳߣߥߞߡ޿ࠆ‫ޔߚ߹ޕ‬ⅣႺߩᄢⷙᮨ
ൻߪ೑↪ߐࠇࠆ࠰ࡈ࠻࠙ࠚࠕߩᄢⷙᮨൻ߽⺃⊒ߒ‫ޔ‬⠴᡿㓚ᛛⴚߦ߅޿ߡ㊀ⷐߥ࠴ࠚ࠶ࠢࡐ
ࠗࡦ࠻ࠦࠬ࠻ߩᕆㅦߥჇᄢࠍ߽ߚࠄߒߡ޿ࠆ‫ޕ‬ᧄ⎇ⓥߢߪ࠴ࠚ࠶ࠢࡐࠗࡦ࠻࿁ᢙߦߟ޿ߡᦨㆡൻࠍⴕ޿‫ߩ࠻ࠬࠦ࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޔ‬シᷫࠍⴕߞߚ‫ޕ‬ၮᧄ⊛ߥᛛⴚߪ N. Vaidya ߦࠃࠆ࠴ࠚ࠶ࠢࡐࠗࡦ࠻㑆㓒ᦨㆡൻߩᚻᴺࠍਗ೉
᜛ᒛߒߚ߽ߩߢ‫࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޔ‬㑆㓒ࠍࡑ࡞ࠦࡈࡕ࠺࡞ߣᝒ߃ࠆ߽ߩߢ޽ࠆ‫࠺ࡕߩߎޕ‬࡞ࠍၮߦ‫࠼࡯ࡁޔ‬᡿㓚₸‫ࠬ࠮ࡠࡊޔ‬㑆ߩㅢାᏪၞ╬߆ࠄ‫࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޔ‬㑆㓒ࠍᦨዊൻߔࠆࠃ߁ᦨㆡൻࠍⴕߞߚ‫ޕ‬ߎߩᦨㆡൻࠕ࡞ࠧ࡝࠭ࡓࠍᤓᐕᐲ߹ߢߦ૞ᚑߒߚ⠴᡿㓚 MPI ࡈ࡟࡯ࡓࡢ࡯ࠢ ABARISߦታⵝߒ‫ߩ࡞࠺ࡕޔ‬ᬌ⸽߅ࠃ߮‫ޔ‬േ⊛࠴ࠚ࠶ࠢࡐࠗࡦ࠻㑆㓒ᦨㆡൻߩലᨐࠍᬌ⸽ߒߚ‫⚿ޕ‬ᨐ‫ޔ‬ឭ᩺ࡕ࠺࡞ߪታ㓙ߩታⴕᤨ㑆ߣࠃߊ৻⥌ߔࠆߎߣ߇⏕⹺ߐࠇߚ‫ޔߚ߹ޕ‬᡿㓚₸ߩᄌᦝ߿࠴ࠚ࠶ࠢࡐࠗࡦ࠻ࠨ࡯ࡃߩᏪၞ⽶⩄ߦኻߒߡേ⊛ߥᦨㆡൻ߇ലᨐࠍ⊒ើߔࠆߎߣ߽⏕⹺ߒߚ‫੹ޕ‬ᓟߪ‫ߩ࠭ࠗࠨ࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޔ‬೥ᷫߦࠃࠅ‫ߩ࠻ࠬࠦ࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޔ‬シᷫࠍⴕ߁ߎߣࠍ⠨߃ߡ޿ࠆ‫ޕ‬
1.5. శࠨ࡯ࠠ࠶࠻ࡀ࠶࠻ࡢ࡯ࠢߩ⵬ഥ⊛೑↪ߦࠃࠆ HPC ࠕࡊ࡝ࠤ࡯࡚ࠪࡦᕈ⢻ะ਄
HPC ࠪࠬ࠹ࡓߩⷙᮨ߇ᄢ߈ߊߥࠆߦߟࠇ‫࠼࡯ࡁ▚⸘ޔ‬㑆ࠍធ⛯ߔࠆࡀ࠶࠻ࡢ࡯ࠢߩ⸳⸘
߇࿎㔍ߣߥࠆ‫ޕ‬ᕈ⢻ࠍ㊀ⷞߒߡࡈ࡞ࡃࠗ࠮࡚ࠢࠪࡦࡃࡦ࠼᏷ߩ㔚᳇ࡄࠤ࠶࠻㧔એਅ EPS㧕ࡀ࠶࠻ࡢ࡯ࠢࠍណ↪ߒࠃ߁ߣߔࠆߣ‫߇࠼࡯ࡁޔ‬ᄙᢙߦߥࠆߦߟࠇ᭴▽ࠦࠬ࠻߿ᶖ⾌㔚ജ߇⤘ᄢߣߥࠅ‫⃻ޔ‬ታ⊛ߢߥ޿‫ޕ‬ᚒ‫ޔߪޘ‬ૐࡃࠗ࠮࡚ࠢࠪࡦࡃࡦ࠼᏷ EPS ࡀ࠶࠻ࡢ࡯ࠢߦធ⛯ߐࠇߚࡁ࡯࠼ߩ৻ㇱࠍశࠨ࡯ࠠ࠶࠻㧔એਅ OCS㧕ࡀ࠶࠻ࡢ࡯ࠢߦធ⛯ߔࠆࡀ࠶࠻ࡢ࡯ࠢⅣႺࠍឭ᩺ߔࠆ‫ޕ‬OCS ࡀ࠶࠻ࡢ࡯ࠢߪ࿁✢੤឵ဳߩߚ߼‫ߪ࠻ࠬࠦߩ┙⏕ࡦ࡚ࠪࠢࡀࠦޔ‬ᄢ߈޿߇‫৻ޔ‬ᐲ⏕┙ߔࠇ߫ૐㆃᑧ‫ޔ‬㜞ࡃࡦ࠼᏷ㅢା߇ⴕ߃ࠆ‫ߩߎޔߦࠄߐޕ‬ⅣႺߢߩਗ೉ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ↪ߩㅢାᚻᴺߣߒߡ‫ߩࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕޔ‬ㅢାࡄ࠲࡯ࡦࠍၮߦశ࿁✢ࠍࡁ࡯࠼㑆ߦഀᒰߡ‫ޔ‬శ࿁✢ߦធ⛯ߐࠇߚࡁ࡯࠼߇ห৻ EPS ࠬࠗ࠶࠴ਅߩࡁ࡯࠼߆ࠄߩࡔ࠶࠮࡯ࠫࠍઁ EPS ࠬࠗ࠶࠴ਅ
ࡁ࡯࠼߳ਛ⛮ォㅍߔࠆᣇᴺࠍឭ᩺ߔࠆ‫ޕ‬EPS ࠬࠗ࠶࠴ࠍ߹ߚߋ㐳〒㔌ㅢାߦኻߒߡశ࿁✢ࠍ↪޿ࠆߎߣߢ‫ߩࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕߩઁ߿ࠫ࡯࡟࠻ࠬޔ‬ㅢାߦ߽೑↪ߐࠇ‫ޔ‬ᷙ㔀ߦࠃࠆㆃᑧ߇⿠ߎࠅ߁ࠆ EPS ࡀ࠶࠻ࡢ࡯ࠢ਄ᵹߩ૶↪ࠍㆱߌ‫ޔ‬ㅢାᕈ⢻ߩะ਄ࠍ࿑ࠆ‫৻ޕ‬ᣇߢਛ⛮ࠍⴕ߁ࡁ࡯࠼ߢᷙ㔀߇↢ߓ߁ࠆ߇‫࠼ࡦࡃࠢࡦ࡝ޔ‬᏷ࠍჇᒝߔࠆߎߣߢシᷫߔࠆ‫ޕ‬ࡌࡦ࠴ࡑ࡯ࠢࠕࡊ࡝ࠤ࡯࡚ࠪࡦࠍ 64 ࡁ࡯࠼᭴ᚑߩⅣႺ਄ߢࠪࡒࡘ࡟࡯࡚ࠪࡦታⴕߒߚ‫ޕ‬ߘߩ⚿ᨐ‫ߩ࠼࡯ࡁోޔ‬ඨᢙߦᒰߚࠆ 32 ࡁ࡯࠼ߛߌࠍ OCS ࡀ࠶࠻ࡢ࡯ࠢߦធ⛯ߔࠆߎߣߢ‫ޔ‬ࡈ࡞ࡃࠗ࠮࡚ࠢࠪࡦࡃࡦ࠼᏷ EPS ࡀ࠶࠻ࡢ࡯ࠢߣห╬ߩᕈ⢻ࠍ␜ߒߚ‫ޔߚ߹ޕ‬㜞޿ࡃࠗ࠮࡚ࠢࠪࡦࡃࡦ࠼᏷ࠍⷐ᳞ߔࠆࠕࡊ࡝ࠤ࡯࡚ࠪࡦߦኻߒߡ᦭ലߢ޽ࠆߣ⏕⹺ߢ߈ߚ‫ޕ‬121

1.6. ᐢၞಽᢔⅣႺߩ․ᕈࠍ⠨ᘦߒߚ㓸࿅ㅢାࠕ࡞ࠧ࡝࠭ࡓ
 MPI ߥߤߦࠃࠆਗ೉ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩᕈ⢻ߦᄢ߈ߊᓇ㗀ࠍਈ߃ࠆⷐ࿃ߩ৻ߟߢ޽ࠆ‫ޔ‬㓸࿅ㅢାߩᡷༀᚻᴺߩ⎇ⓥࠍⴕߞߡ޿ࠆ‫ޕ‬ᄢⷙᮨࠢ࡜ࠬ࠲ࠍⶄᢙ⚿วߒߚࠣ࡝࠶࠼ⅣႺߩࠃ߁ߦ㜞ㆃᑧߥࡀ࠶࠻ࡢ࡯ࠢࠍ฽߻႐ว‫ߩߘޔ‬ᓇ㗀ߪࠃࠅ㗼⪺ߣߥࠆ‫ޕ‬ ੹ᐕᐲߪ‫ޔ‬ᕈ⢻ࡕ࠺࡞ߦၮߠߊ Scatter/Gather ㅢାࠕ࡞ࠧ࡝࠭ࡓࠍឭ᩺ߒߚ‫࠻࠶ࡀޕ‬ࡢ࡯ࠢ᭴ㅧ࡮ㅢାࡔ࠶࠮࡯ࠫࠨࠗ࠭࡮ࡃࡦ࠼᏷ᕈ⢻ࠍ⠨ᘦߒߚᕈ⢻ࡕ࠺࡞ࠍ↪޿ߡ‫ޔ‬ㅢାߩታⴕߦᦨㆡߥᧁ᭴ㅧࠍ᭴▽ߒ‫ߩߘޔ‬਄಴ㅢାࠬࠤࠫࡘ࡯࡝ࡦࠣࠍⴕ޿㓸࿅ㅢାߩᦨㆡൻ
ࠍታ⃻ߒߡ޿ࠆ‫ޕ‬WAN ߩࡃࡦ࠼᏷߇ฦᧃ┵ࡁ࡯࠼ߩࡃࡦ࠼᏷ߣห╬߆ߘࠇએ਄ߢ޽ࠆ႐
วߦᵈ⋡ߒ㧘WAN ࡃࡦ࠼᏷ࠍ᦭ലߦ೑↪ߔࠆߎߣࠍߨࠄ޿ߣߔࠆ‫ ߥ⊛⥸৻ޕ‬TCP ࠍ↪޿ߡታ⃻ߔࠆߚ߼‫࠻ࠗࠨޔ‬㑆ࠍ߹ߚߋ TCP ࠦࡀ࡚ࠢࠪࡦࠍⶄᢙ↪ᗧߒਗ೉ߦㅢାࠍⴕ߁ߎ
ߣߢ WAN ਄ࠬ࡞࡯ࡊ࠶࠻ࠍ㜞ߊ⛽ᜬߔࠆ‫ޕ‬ ⶄᢙࠨࠗ࠻ⅣႺߢᕈ⢻ࠍ⹏ଔߒߚ‫⚿ޕ‬ᨐ‫ޔ‬WAN ߩᏪၞࠍචಽߦ೑↪ߔࠆߎߣߢᓥ᧪ᚻ
ᴺࠃࠅ߽⚂ 1.7 ୚(චಽߦࡔ࠶࠮࡯ࠫࠨࠗ࠭߇ᄢ߈޿႐ว)㜞ㅦߦㅢା߇น⢻ߢ޽ࠆߎߣ߇
⏕⹺ߐࠇߚ‫৻ߩߘޕ‬ᣇߢ‫ޔ‬ㅢାߩࡕ࠺࡞ൻߦ㑐ߒߡߪ‫ޔ‬ㅢାߩࠦࡦ࠹ࡦ࡚ࠪࡦ߿ࡑࠪࡦߩ
ᕈ⢻‫ޔ‬ㅢା࠲ࠗࡒࡦࠣߥߤⶄว⊛ߥⷐ࿃ߦࠃߞߡ᳿߹ࠆߚ߼‫੍ޔ‬஻ታⴕߩ⚿ᨐ߆ࠄዉ಴ߐ
ࠇࠆᖱႎߛߌߢߪᕈ⢻ផቯ߇࿎㔍ߢ޽ࠅ‫ࠅࠃޔ‬ᱜ⏕ߥࡕ࠾࠲࡝ࡦࠣ࠺࡯࠲ߩᔅⷐᕈ߿ࡕ࠺
࡞ൻ߇ᔅⷐߢ޽ࠆߣ޿߁ᜰ㊎ࠍᓧߚ‫ޕ‬ ߎߩ⚿ᨐࠍ〯߹߃‫ޔ‬ᰴᐕᐲߢߪ‫ࠍࡦ࡚ࠪࡦ࠹ࡦࠦޔ‬⠨ᘦߒߚᕈ⢻ࡕ࠺࡞ߩ᭴▽ࠍ⋡ᜰߔ৻ᣇߢ‫ࠅࠃޔ‬ᄢⷙᮨߢಽᢔߒߚ⸘▚ⅣႺߦ߅޿ߡ‫ޔ‬േ⊛ߥࡀ࠶࠻ࡢ࡯ࠢߩᄌൻߦኻᔕߔࠆ
ߚ߼ߦᧁ᭴ㅧࠍേ⊛ߦ᭴▽ߒߡᦨㆡൻߔࠆᚻᴺߦߟ޿ߡᬌ⸛ߒߡ޿ߊ੍ቯߢ޽ࠆ‫ޕ‬

2. ULP-HPC: ᰴ਎ઍ࠹ࠢࡁࡠࠫߩࡕ࠺࡞ൻ࡮ᦨㆡൻߦࠃࠆ⿥ૐᶖ⾌㔚ജࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ
HPC(㜞ᕈ⢻⸘▚)ߩ㊀ⷐᕈߪᒝߊ⹺⼂ߐࠇߡ޿ࠆ߇‫ޔ‬ಣℂ⢻ജߩะ਄ߣᒁ឵߃ߩ㔚ജᶖ⾌ߩᕆㅦߥჇᄢ߇ෂᯏ⊛⁁ᴫߢ޽ࠆ‫ߢߎߘޕ‬ᚒ‫ޔߪޘ‬10 ᐕᓟߦ HPC ߩᕈ⢻㔚ജല₸ࠍ⃻⁁ߩ 1000 ୚ߣߔࠆ⋡ᮡࠍឝߍࠆ ULP-HPC(Ultra Low Power HPC)ࠍឭ᩺ߒ‫࡮ࡓ࠹ࠬࠪޔ‬ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ࡮ᢙℂߦၮߠ޿ߚ࠴ࡘ࡯࠾ࡦࠣߩⷰὐ߆ࠄ⎇ⓥࠍផㅴߒߡ޿ࠆ‫ࡊߩߎޕ‬ࡠࠫࠚࠢ࠻ߪ JST-CREST ߩᡰេࠍฃߌ‫ⶄޔ‬ᢙᄢቇߦ߹ߚ߇ߞߚ૕೙ߢ⎇ⓥࠍⴕߞߡ޿ࠆ‫ޕ‬ᧄ⎇ⓥቶߢߪਥߦ⿥ૐᶖ⾌㔚ജߩߚ߼ߩࠪࠬ࠹ࡓ߿ࠕࠢ࠮࡜࡟࡯࠲೑↪ࠍᜂᒰߒߡ޿ࠆ‫ޕ‬ᧄᐕᐲߪ GPU ߥߤߩࠕࠢ࠮࡜࡟࡯࠲‫ߩߤߥ࡝ࡕࡔޔ‬᭴ᚑⷐ⚛ߩ㔚ജ࡮ᕈ⢻ࡕ࠺࡞ߩ♖✺ൻ߅ࠃ߮ߘࠇࠄߦၮߠߊᦨㆡൻᚻᴺࠍᢙᄙߊឭ᩺ߒߚ‫ޕ‬zGPU ਄ߩ FFT ߥߤߩᢙ୯⸘▚ࠞ࡯ࡀ࡞ߩߐࠄߥࠆല₸ൻߩ⎇ⓥࠍផㅴߒߚ‫ޕ‬ਃᰴర FFT ⸘▚ߦ߅޿ߡ‫ޔ‬GPU ౝㇱߩࡔࡕ࡝ࠕࠢ࠮ࠬߩᦨㆡൻᚻᴺࠍ⠨᩺࡮ታⵝߒߚ‫ޕ‬ߎࠇߦࠃࠅ GPU ౝߢߩᕈ⢻ߢ⚂ 140GFlops ࠍ㆐ᚑߒߚ‫ߪࠇߎޕ‬ᓥ᧪ᦨㅦߢ޽ߞߚNVIDIA ␠ߩ⚐ᱜ࡜ࠗࡉ࡜࡝ߣᲧߴ⚂ 3 ୚ߩᕈ⢻ะ਄ߢ޽ࠆ‫߈ߣߩߎޕ‬㔚ജᕈ⢻Ყ

122ߦ߅޿ߡߪ‫ޔ‬
ᦨᣂߩ Quad core CPU ࠍ↪޿ࠆ႐วࠃࠅ⚂ 4 ୚ఝࠇࠆߎߣࠍ␜ߒߚ‫ޕ‬߹ߚਃᰴర FFT ߦ߅޿ߡ໧㗴ࠨࠗ࠭߇ GPU ࡔࡕ࡝ࠃࠅᄢ߈ߊ‫▚⸘ޔ‬ਛߦࡎࠬ࠻ߣ
(႐วߦࠃߞߡߪⶄᢙߩ)GPU 㑆ߩㅢା߇ᔅ㗇ߣߥࠆ႐วߩࠬࠤࠫࡘ࡯࡝ࡦࠣᦨㆡ
ൻߦ߽ขࠅ⚵ࠎߛ‫ߚ߹ޕ‬ᒁ߈⛯߈ CPU ߣ GPU ࠍ૬↪ߔࠆߚ߼ߩࡕ࠺࡝ࡦࠣߩ♖✺ൻࠍⴕߞߚ‫ߩࠄࠇߎޕ‬ㆊ⒟ߦ߅޿ߡᣢሽߩ API ߩᡷ⦟ߔߴ߈ὐࠍᜰ៰ߒ‫ޔ‬GPU ࡔ࡯ࠞ࡯ߣߩㅪ៤߽ⴕߞߡ޿ࠆ‫ޕ‬z⋭㔚ജဳࠕࠢ࠮࡜࡟࡯࠲ߦࠃࠆ HPC ߩᄢⷙᮨടㅦታ㛎߅ࠃ߮ࡕ࠺࡝ࡦࠣߩ⎇ⓥࠍ
ផㅴߒߚ‫ޕ‬ᄢⷙᮨടㅦታ㛎ߣߒߡ‫᧲ޔ‬੩Ꮏᬺᄢቇ TSUBAME ࠪࠬ࠹ࡓ਄ߢਗ೉
Linpack ߩታ㛎ࠍ‫ߦߢ߹ࠇߎޔ‬ዉ౉ߒߚ ClearSpeed ࠕࠢ࠮࡜࡟࡯࠲ߦട߃‫ޔ‬TESLAGPU ࠍ૬↪ߒߡⴕߞߚ‫ޕ‬10000 ࠦࠕએ਄ߩ᳢↪ CPU‫ޔ‬600 ᨎએ਄ߩ ClearSpeed‫ޔ‬600 ᨎએ਄ߩ TESLA GPU(ᓟㅀ)ߣ޿߁ᄢⷙᮨࡋ࠹ࡠဳࠪࠬ࠹ࡓߦ߅޿ߡ‫ߙࠇߘޔ‬ࠇߩ⸘▚⾗Ḯߦࠞ࡯ࡀ࡞Ṷ▚ࠍㆡಾߦഀࠅᝄࠆߎߣߦࠃࠅ 77.48TFlops ߩᕈ⢻ࠍ㆐ᚑߒߚ‫⚿ߩߎޕ‬ᨐߪ Top500 ࠬࡄࠦࡦ࡜ࡦࠠࡦࠣߦ߅޿ߡ਎⇇ 29 ૏ߦ࡜ࡦࠢߐࠇߚ‫ޕ‬ࡋ ࠹ ࡠ ဳ ࠪ ࠬ ࠹ ࡓ ߣ ߒ ߡ ߪ LANL RoadRunner ߦ ᰴ ߋ ੑ ૏ ߢ ޽ ࠆ ‫ߚ ߹ ޕ‬
TSUBAME ߩࠃ߁ߥ᳢↪ CPU ߣࠕࠢ࠮࡜࡟࡯࠲߇ᷙ࿷ߔࠆ HPC ࠪࠬ࠹ࡓࠍᗐቯ
ߒ‫⎇ߩࡓ࠭࡝ࠧ࡞ࠕࠣࡦ࡝࡯ࡘࠫࠤࠬࡉ࡚ࠫޔ‬ⓥࠍផㅴߒߡ޿ࠆ‫ߢࡓ࠭࡝ࠧ࡞ࠕޕ‬ߪฦ࡚ࠫࡉߩടㅦ․ᕈߩᖱႎࠍ⍮ࠆߎߣ߇ߢ߈ࠆߣ޿߁઒ቯߩ߽ߣ‫ࠍࡉ࡚ࠫޔ‬ㆡಾߥࡊࡠ࠮࠶ࠨߦഀࠅᒰߡࠆ‫ ࠅࠃߦࡦ࡚ࠪ࡯࡟ࡘࡒࠪޕ‬make-span ߅ࠃ߮ ED Ⓧߩ
⹏ଔࠍⴕ޿‫ޔ‬ECT(earliest completion time)ᣇᑼߥߤߩ‫ߥ⚦⹦ࠅࠃޔ‬ᖱႎࠍ઒ቯߔ
ࠆᣇᑼߣห╬߆ߘࠇએ਄ߩᕈ⢻ࠍ␜ߒߚ‫ޕ‬ឭ᩺ᣇᑼߪ ECT ߦᲧߴᦨᄢ 5%‫ޔ‬න⚐ߥഀࠅᝄࠅᣇᴺߦᲧߴᦨᄢ 75%‫ޔ‬ED Ⓧࠍᡷༀߒߚ‫ޕ‬zᰴ਎ઍૐ㔚ജࡔࡕ࡝ࠍ᦭ല೑↪ߔࠆࠪࠬ࠹ࡓߩ⎇ⓥࠍផㅴߒߚ‫ޕ‬㔚ജࠦࠬ࠻߇ᄢ߈޿ DRAM ߩ៞タኈ㊂ࠍ೥ᷫߔࠆߚ߼ߦ‫৻ߩ࡝ࡕࡔࡦࠗࡔߦߢ߹ࠇߎޔ‬ㇱࠍ MRAMߦ⟎߈឵߃‫ ߡߒߣࠬࠗࡃ࠺ࡊ࠶ࡢࠬߦࠄߐޔ‬FLASH ࡔࡕ࡝ࠍ૶↪ߔࠆࠕ࡯ࠠ࠹ࠢ
࠴ࡖࠍឭ᩺ߒ‫ ߽ߢߡߒߎ⿠ࠍࡊ࠶ࡢࠬޔ‬DRAM ኈ㊂೥ᷫߔࠆߎߣߦࠃࠅࠛࡀ࡞ࠡ࡯
ᶖ⾌ࠍᛥ೙ߢ߈ࠆߎߣࠍ␜ߒߡ߈ߚ‫ߩߘޕ‬਄ߢࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩታⴕਛߩࡍ࡯ࠫ
ࡦࠣಣℂߦ㑐ߔࠆᶖ⾌㔚ജࠍᦨዊߦߔࠆᚻᴺࠍឭ᩺ߒ‫ޔ‬ታ㛎ਛߢ޽ࠆ‫ౕޕ‬૕⊛ߦߪߐ߹ߑ߹ߥ DRAM ኈ㊂ߩ႐วߩࠬࡢ࠶ࡊಣℂߩว⸘ࠦࠬ࠻ࠍ‫৻ޔ‬ᐲߩࠕࡊ࡝ࠤ࡯
࡚ࠪࡦታⴕਛߦ⷗ߟߌࠆ߽ߩߢ޽ࠆ‫ޕ‬㘃ૃᚻᴺߣᲧセߒߡ‫࡯࠳ߣࠫ࡯ࡍࡦ࡯࡝ࠢޔ‬࠹ࠖ࡯ࡍ࡯ࠫߩ⟎឵ಣℂࠦࠬ࠻߇⇣ߥࠆߎߣߦᵈ⋡ߔࠆߎߣߦ․⦡߇޽ࠆ‫ޕ‬z᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ࠮ࡦ࠲࡯ߢߪᧄᐕᐲ TSUBAME ࠬࡄࠦࡦߦ TESLA
S1070 GPU ࠍ 170 บ‫ޔ‬680 ࠺ࡃࠗࠬዉ౉ߒߚ‫᧻ߪࠇߎޕ‬ጟ߇ਛᔃߣߥࠅ‫߹ࠇߎޔ‬ߢߩ CREST ߦ߅ߌࠆታ㛎⚿ᨐ/⎇ⓥᚑᨐߦၮߠߊߎߣߦࠃࠅน⢻ߣߥߞߚ߽ߩߢ޽
ࠆ‫ߩߎޕ‬ዉ౉ߦࠃࠅ TSUBAME ߩṶ▚ᕈ⢻ߪ 110TFlopsψ170TFlops(୚♖ᐲࡇ࡯ࠢ)߅ࠃ߮ 170TFlopsψ870TFlops(න♖ᐲࡇ࡯ࠢ)ߣᄢ᏷ߦะ਄ߒߚ‫৻ޕ‬ᣇᶖ⾌㔚ജߦߟ޿ߡߪ‫ޔ‬15%એਅߩ਄᣹ߢᛥ߃ࠄࠇߡ޿ࠆ‫ߦߢߔߡ޿↪ࠍࠄࠇߎޕ‬਄⸥ߩ

123

Linpack ታ㛎ߦᚑഞߒߡ޿ࠆ߇‫੹ޔ‬ᓟߐࠄߦᄙ᭽ߥ HPC ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩ㔚ജᦨㆡൻߩ⎇ⓥࠍߎࠇࠄߩ⾗Ḯࠍ↪޿ߡផㅴߒߡ޿ߊ‫ޕ‬

3. HPC-GPGPU: Large-Scale Commodity Accelerated Clusters and its
Application to Advanced Structural Proteomics‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᚒ‫ ࠅߚ޽࠼࡯ࡁߪޘ‬4 ᨎߩ GPU ࠍ៞タߒߚ 32 ࡁ࡯࠼ߩ GPU ࠢ࡜ࠬ࠲ “Raccoon” ࠍ⸳⸘࡮᭴▽ߒ GPU ߩ HPC ߦ߅ߌࠆ᦭ലᕈࠍᬌ⸽ߒߚ‫ߕ߹ޕ‬ᕈ⢻⹏ଔߣߒߡ‫▚⸘ޔ‬Ꮏቇኾ᡹⑺ጊᢎ᝼ࠄߣ౒ߦ࠲ࡦࡄࠢ⾰࠼࠶ࠠࡦࠣ໧㗴ߩᕈ⢻ߩടㅦ߇น⢻ߢ޽ࠆߎߣࠍ␜ߒߚ‫ޕ‬ห໧㗴ߪ 3D-FFT ߇⸘▚ࠞ࡯ࡀ࡞ߢ޽ࠅ‫ޔ‬FFT ᕈ⢻ࠍടㅦߔࠆߎߣߢో૕ߩታⴕᤨ㑆ߩ⍴❗
߇น⢻ߢ޽ࠆ‫⎇ᧄޕ‬ⓥߢߪ 3D-FFT ࠍ GPGPU ะߌ⸒⺆ߢ޽ࠆ CUDA ਄ߢታⵝߒ‫ࠇߘޔ‬ࠍ↪޿ߚ⹏ଔࠍⴕߞߚ‫ޔߣࠆࠃߦࠇߘޕ‬19 ࡁ࡯࠼ 76GPU ࠍ↪޿ߚ႐วߦ 4TFLOPS ࠍ㆐ᚑߒߚ‫ ߪࠇߎޕ‬BlueGene/L ߩ 2 ࡜࠶ࠢࠍ਄࿁ࠆᕈ⢻ߢ޽ࠅ‫ߩߘޔ‬㔚ജല₸ߪ 4 ୚ߦ㆐ߔࠆ‫ޕ‬ ߹ߚ‫ޔ‬વ⛔⊛ߥ HPC ࠢ࡜ࠬ࠲ߣห᭽ߦⷙᮨߩჇᄢߦࠃࠅߘߩࠪࠬ࠹ࡓో૕ߣߒߡߩ᡿
㓚₸ߩჇടߪㆱߌࠄࠇߥ޿‫ ߦ․ޕ‬GPU ߦ៞タߐࠇߡ޿ࠆࠝࡈ࠴࠶ࡊࡔࡕ࡝ߪࠨ࡯ࡃ࡯ะ
ߌࡔࡕ࡝ߣ⇣ߥࠅ ECC ╬ߩ⠴᡿㓚ኻ╷߇ߥߐࠇߡ޿ߥ޿‫ޕ‬ᚒ‫࡝ࡕࡔߪޘ‬ㆊᷰ᡿㓚ߩ⊒↢㗫ᐲࠍ Raccoon ࠢ࡜ࠬ࠲਄ߢ⹏ଔߒߚ‫ޔߣࠆࠃߦࠇߘޕ‬60 ᨎߩ GPU ߩౝᢙᨎߪ 3 ᣣ㑆ߩ࠹ࠬ࠻ᦼ㑆ਛߢࡆ࠶࠻ࡈ࡝࠶ࡊࠛ࡜࡯߇⏕⹺ߐࠇߚ‫ޕ‬ࡆ࠶࠻ࡈ࡝࠶ࡊߪㅢᏱߩ⸘▚ߢߪᬌ಴ߐࠇߥ޿ࠨࠗ࡟ࡦ࠻ࠛ࡜࡯ߣߥࠅ߁ࠆߚ߼‫ߩߘޔ‬ᬌ಴࡮⸓ᱜߪ㊀ⷐߢ޽ࠆ‫ߒ߆ߒޕ‬਄ㅀߩㅢࠅ⃻⁁ߩ GPU ߦߪ ECC ࠍ஻߃ߚ߽ߩߥߊ‫⥸৻ޔ‬⊛ߥ HPC ⸘▚ࡁ࡯࠼ߣᲧセߒߡା㗬ᕈߦഠࠆ‫ޕ‬ᚒ‫ޔߪޘ‬GPU ߩା㗬ᕈะ਄ߩߚ߼ߦ‫࠰ޔ‬ࡈ࠻࠙ࠚࠕߦࠃߞߡࡔࡕ࡝⺋ࠅߩᬌ಴‫⸓ޔ‬ᱜࠍⴕ߁ᚻᴺࠍឭ᩺ߒߚ‫ᧄޕ‬ᚻᴺߢߪ‫ޔ‬GPGPUࠕࡊ࡝ࠤ࡯࡚ࠪࡦਛߦ ECC ࠍ⸘▚‫ޔ‬ᬌᩏߔࠆࠦ࡯࠼ࠍㅊടߔࠆߎߣߢ‫ࠬࠢ࠶ࠖࡈ࡜ࠣޔ‬ࡔࡕ࡝ਛߩࡆ࠶࠻ࡈ࡝࠶ࡊߥߤߩ⺋ࠅࠍᬌ಴‫⸓ޔ‬ᱜߔࠆ‫ޕ‬ឭ᩺ᚻᴺࠍ Nvidia ߦࠃࠆ C ⸒⺆᜛ᒛ CUDA ะߌߦ࡜ࠗࡉ࡜࡝ߣߒߡታⵝߒ‫ޔ‬FFT‫ⴕޔ‬೉Ⓧ‫ޔ‬N ૕໧㗴ࠕࡊ࡝ࠤ࡯࡚ࠪ
ࡦߦㆡ↪ߒߚ‫ޕ‬ਔࠕࡊ࡝ࠤ࡯࡚ࠪࡦࠍ↪޿ߡ‫ޔ‬ECC ⸘▚ߦࠃࠆᕈ⢻ࠝ࡯ࡃ࡯ࡋ࠶࠼ࠍ⺞ᩏߒߚߣߎࠈ‫ޔ‬FFT‫ⴕޔ‬೉Ⓧߢᦨᄢ 300%⒟ᐲ, N ૕໧㗴ߢ 15%⒟ᐲߩࠝ࡯ࡃ࡯ࡋ࠶࠼ߦߥ
ࠆߎߣࠍ⏕⹺ߒ‫ޔ‬N ૕໧㗴ߩࠃ߁ߦࡔࡕ࡝ࠕࠢ࠮ࠬ㗫ᐲߦኻߒߡ⸘▚㊂ߩᄙ޿ࠕࡊ࡝ࠤ࡯
࡚ࠪࡦߢߪᲧセ⊛ዊߐߥࠝ࡯ࡃ࡯ࡋ࠶࠼ߢታ⃻น⢻ߢ޽ࠆߎߣࠍ⏕⹺ߒߚ‫ޕ‬124

Raccoon: A Platform for GPGPU Research• 32-node Windows HPC Server 2008 cluster• AMD aenom X4 9850 BE Quad-Core Processor
with 8 GB of memory• Four GeForce 8800 GTS 512 with CUDA v2
Total performance• 53.2 peak TFLOPS (SP)• 6.5 TFLOPS in Docking• 18 KW (361 MFLOPS/W)

60
50
40
30
20
10
0

10000
Elapsed time

GFLOPS

FFT Performance w/ ECC

N-body Performance w/ ECCCPUGPUN-BodyGPU ECC

1000
100
10
1

FFTW

CUFFT

NUFFT

1024

NUFFT-ECC

2048
4096
8192
Number of bodies

1638

4. NAREGI ᧄᩰ⹜㛎ㆇ↪ߦࠃࠆ e-ࠨࠗࠛࡦࠬ/CSI ߩታ⃻෸߮⎇ⓥ㐿⊒‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᤓᐕᐲߩታ❣ߦၮߠ߈‫ޔ‬NAREGI ࡒ࠼࡞࠙ࠚࠕ v.1.1 ߩᧄቇ TSUBAME ࠍ↪޿ߚᧄᩰㆇ
↪ࠍᧄᐕᐲᓟඨ߆ࠄᧄᩰ⊛ߦ㐿ᆎߔࠆߚ߼ߦ‫ޔ‬NII ߩࠣ࡝࠶࠼ࠝࡍ࡟࡯࡚ࠪࡦ࠮ࡦ࠲࡯߿
SuperSINET3 ߣද⺞ߒߚㆇ↪߅ࠃ߮⎇ⓥ㐿⊒૕೙ࠍᢛ߃ߚ‫ౕޕ‬૕⊛ߦ‫ޔ‬એਅࠍ㆐ᚑߒߚ‫ޕ‬(1) Sun Grid Engine ࠍࡌ࡯ࠬߦ‫ޔ‬TSUBAME ߩ᧲Ꮏᄢࠞࠬ࠲ࡑࠗ࠭ࠍⴕߞߚࡃ࠶࠴
ࠠࡘ࡯ࠪࠬ࠹ࡓߢ޽ࠆ n1ge ኻᔕߩ GridVM 㐿⊒‫ޕ‬(2) (1)ࠍ฽߼ߚ NAREGI ࡒ࠼࡞࠙ࠚࠕో૕ߩࠗࡦࠬ࠻࡯࡞ࠍⴕ޿‫ߡ޿↪ࠍࠇߎޔ‬㒋ᄢࠨࠗࡃ࡯ࡔ࠺ࠖࠕ࠮ࡦ࠲࡯ߥߤߩో࿖౒ห೑↪ᣉ⸳‫╳ޔ‬ᵄᄢቇ‫ޔ‬࿖┙ᖱႎቇ⎇ⓥᚲߣදജߒߚ
ࠣ࡝࠶࠼ㆇ↪ࠍ 2010 ᐕᐲ߆ࠄ㐿ᆎߔࠆߚ߼ߦߘߩ࠹ࠬ࠻ㆇ↪ࠍ㐿ᆎ‫ޕ‬ታ㓙ߩㆇ↪ߦᒰߚ

125ࠅᔅⷐߣߥࠆኻ㕙⹺⸽‫ ࠬࡦ࠮ࠗ࡜ޔ‬ID ⊒ⴕߥߤߩᧄ࠮ࡦ࠲࡯⡯ຬ߇ᜂᒰߔࠆᬺോࠍ‫ࠣޟ‬࡝࠶࠼ࡄ࠶ࠢ‫╷ߡߒߣޠ‬ቯ‫ޕ‬(3) INCA ࡕ࠾࠲࡝ࡦࠣࠪࠬ࠹ࡓࠍࡌ࡯ࠬߣߒߚ NAREGI ࡕ࠾࠲࡝ࡦࠣࠪࠬ࠹ࡓࠍ㐿⊒ߒ‫ޔ‬ㆇ↪ࠍ㐿ᆎ‫ ߪࡓ࠹ࠬࠪᧄޕ‬NAREGI ߩฦ⒳ࡒ࠼࡞࠙ࠚࠕߩࠗࡦࠬ࠻࡯࡞⁁ᴫ‫ࡦࡕ࡯࠺ޔ‬ࡊࡠ࠮ࠬߩ᦭ήߩႎ๔‫ߚ߹ޔ‬ቯᦼ⊛ߥ࡚ࠫࡉᛩ౉࠹ࠬ࠻߽ⴕ߁‫ޔࠅࠃߦࠇߎޕ‬NAREGI ▤ℂߩ৻ㇱࠍ⥄േൻߒ‫ޔ‬ㆇ↪㕙ߩ⽶ᜂࠍᄢ߈ߊૐᷫߢ߈ࠆ‫ޕ‬

5. ⎇ⓥࠦࡒࡘ࠾࠹ࠖᒻᚑߩߚ߼ߩ⾗Ḯㅪ៤ᛛⴚߦ㑐ߔࠆ⎇ⓥ‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬⎇ⓥቶߦ⸳⟎ߐࠇࠆ⸘▚ᯏ߿ࠬ࠻࡟࡯ࠫ╬߆ࠄ⸘▚ᯏ࠮ࡦ࠲࡯╬ߦ⸳⟎ߐࠇࠆ߽ߩߦ⥋ࠆ߹ߢߩ⾗Ḯ਄ߢឭଏߐࠇࠆ⸘▚⢻ജ߿࠺࡯࠲‫ࠍࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕޔࠬ࡯ࡌ࠲࡯࠺ޔ‬ᔅⷐᕈߦᔕߓߡᨵエߦ౒᦭߹ߚߪㅪ៤ߐߖ‫ࠍࠩ࡯࡙ߦࠇߎޔ‬฽߼ߚ઒ᗐ⎇ⓥࠦࡒࡘ࠾࠹ࠖࠍᒻ
ᚑ߆ߟㆇ↪ߔࠆߚ߼ߩᛛⴚࠍ⎇ⓥߒ‫ࠍࠇߎޔ‬ታ⃻ߔࠆߚ߼ߩ࠰ࡈ࠻࠙ࠚࠕࠍ㐿⊒ߔࠆߎߣࠍ⋡⊛ߣߔࠆ‫ޕ‬ߎߩߚ߼ߩ╙ 1 Ბ㓏ߣߒߡ‫ ࡓ࠹ࠬࠪ࡞ࠗࠔࡈ᦭౒ޔ‬gfarm ߩ᭴▽࠹ࠬ࠻㧛ᕈ⢻⹏ଔࠍⴕߞߚ‫ޔߦࠄߐޕ‬᭽‫ࠢ࡯ࡢ࠻࠶ࡀߥޘ‬ⅣႺࠍౣ⃻ߒߡ⎇ⓥ㐿⊒ᚑᨐߩ੐೨ታ⸽⹏ଔࠍน⢻ߣߔࠆ࠹ࠬ࠻ࡌ࠶࠼ߣߒߡ‫᧲ޔ‬੩Ꮏᬺᄢቇ‫ޔ‬ᄢ㒋ᄢቇ‫ޔ‬࿖┙ᖱႎቇ⎇ⓥᚲ߅ࠃ߮㜞ࠛࡀ࡞ࠡ࡯ടㅦེ⎇ⓥᯏ᭴ߦၮḰ⸘᷹ⵝ⟎ࠍዉ౉ߒߚ‫ޕ‬

1GB/s䉕 ⛽ᜬน⢻䈭ᕈ⢻⸘᷹ේེ䈱㈩⟎10Gbps(9.2942Gbps)
SINET3JGN2plus

12.8GB/s

S310- PCIe 㬍8-lanes (2GB/s 㬍2)- Offload Engines (LRO, TSO, TOE,…)

RAID5085- PCIe 㬍8-lanes (2GB/s 㬍2)- SATA/SAS 8-ports (300MB/s 㬍8 = 2.4GB/s)

Ram Disk

Type-B: 䊈䉾 䊃 䊪䊷䉪 ᕈ⢻ᬌ⸽

SSD-SLC RAID-0/8-stripes- Read: 250MB/s 㬍8 = 2.00GB/s- Write: 170MB/s 㬍8 = 1.36GB/s

ታ⸽⹏ଔⅣႺ䈱቟ቯᕈ䊶 ਇ቟ቯᕈ䉕 㓐ᤨ⴫␜• 㐿⊒⠪  ᕈ⢻ะ਄䈱ᜰᮡ• ೑↪⠪  䉝䊔䉟 䊤 䊎 䊥 䊁 䉞 䈱ᛠី

Type-A: 䊂䉞 䉴䉪 I/O䉕 ઻䈉 䊈䉾 䊃 䊪䊷䉪 ᕈ⢻ᬌ⸽(ೋᐕᐲ䈮᧲Ꮏᄢ䊶 㒋ᄢ䈮⸳⟎੍ቯ)126‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬ᩏ⺒ઃࠫࡖ࡯࠽࡞࡮ᩏ⺒ઃ࿖㓙ቇળ ṚỈ⌀৻ᦶ㆙⮮ᢅᄦ᧻ጟ⡡‫ޟ‬శࠨ࡯ࠠ࠶࠻ࡀ࠶࠻ࡢ࡯ࠢߩ⵬ഥ⊛೑↪ߦࠃࠆ *2%ࠕࡊ࡝ࠤ࡯࡚ࠪࡦᕈ⢻ะ਄‫ޠ‬ᖱႎಣℂቇળ⺰ᢥ⹹ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠪࠬ࠹ࡓ㧔#%5㧕ឝタ੍ቯ  㗵↰ᓆ㧘የᒻᵏᒾ㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ޟ‬%7&# ⅣႺߦ߅ߌࠆ㜞ᕈ⢻  ᰴర ((6‫ޠ‬ᖱႎಣ
ℂቇળ⺰ᢥ⹹ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠪࠬ࠹ࡓ㧔#%5㧕8QN㧘0Q㧘RR የᒻᵏᒾਣጊ⋥਽㆙⮮ᢅᄦ᧻ጟ⡡‫ޟ‬ᕈ⢻ࡕ࠺࡞ߦၮߠߊ %27 ෸߮ )27 ࠍ૬↪ߔࠆല₸⊛ߥ ((6 ࡜ࠗࡉ࡜࡝‫ޠ‬ᖱႎಣℂቇળ⺰ᢥ⹹8QN㧘0Q #%5 㧘RR
 ;W[C/CEJKFC5JKP KEJKTQ6CMK\CYC*KFGOQVQ0CMCFC5CVQUJK/CVUWQMC+PVGNNKIGPV&CVC5VCIKPIYKVJ1XGTNCRRGF'ZGEWVKQPQH)TKF#RRNKECVKQPU(WVWTG)GPGTCVKQP%QORWVGT5[UVGOU8QN0QRR
 6CMGUJK0KUJKMCYC5CVQUJK/CVUWQMC6KOG5VCORKPI#WVJQTKV[)TKF2TQEGGFKPIU
QHVJG'KIJVJ+'''+PVGTPCVKQPCN5[ORQUKWOQP%NWUVGT%QORWVKPICPFVJG)TKF
%%)TKF  VJG+'''2TGUURR
 5JKP KEJKTQ6CMK\CYC6QUJKQ'PFQCPF5CVQUJK/CVUWQMC.QECNKV[#YCTG/2+
%QOOWPKECVKQPQPC%QOOQFKV[1RVQ'NGEVTQPKE*[DTKF0GVYQTM+PV N9QTMUJQRQP.CTIG5ECNG2CTCNNGN2TQEGUUKPI .522  TGHGTGGFCEEGRVCPEGTCVG KP+2&25
VJG+'''2TGUURR
 0CQ[C/CTW[COCCPF5CVQUJK/CVUWQMC/QFGN$CUGF(CWNV.QECNK\CVKQPKP
.CTIG5ECNG%QORWVKPI5[UVGOUVJGPF+'''+PVGTPCVKQPCN2CTCNNGNCPF
&KUVTKDWVGF2TQEGUUKPI5[ORQUKWO +2&25  VJG+'''2TGUURR
 6QUJKQ'PFQCPF5CVQUJK/CVUWQMČ/CUUKXG5WRGTEQORWVKPI%QRKPIYKVJ*GVGTQIGPGKV[QH/QFGTP#EEGNGTCVQTU̍+P2TQE1H+'''+PVGTPCVKQPCN2CTCNNGN&KUVTKDWVGF2TQEGUUKPI5[ORQUKWO +2&25 VJG+'''2TGUURRRCIGU#RTKN
 ;CUWJKMQ1ICVC6QUJKQ'PFQ0CQ[C/CTW[COCCPF5CVQUJK/CVUWQMČ#P'HHKEKGPV/QFGN$CUGF%27)27*GVGTQIGPGQWU((6.KDTCT[̍6JGVJ+PVGTPCVKQPCN*GVGTQIGPGKV[KP%QORWVKPI9QTMUJQR *%9  KPEQPLWPEVKQPYKVJ+2&25
VJG+'''2TGUU#RTKN
 ;WVQ*QUQIC[C6QUJKQ'PFQCPF5CVQUJK/CVUWQMČ2GTHQTOCPEG'XCNWCVKQPQH
2CTCNNGN#RRNKECVKQPUQP0GZV)GPGTCVKQP/GOQT[#TEJKVGEVWTGYKVJ2QYGT#YCTG
2CIKPI/GVJQF+P2TQEGGFKPIUQHVJ+'''9QTMUJQRQP*KIJ2GTHQTOCPEG
2QYGT#YCTG%QORWVKPI *22#% KPEQPLWPEVKQPYKVJ+2&25VJG+'''2TGUURCIGU#RTKN

127

 5WOGVJ.GTVJKTWPYQPI0CQ[C/CTW[COCCPF5CVQUJK/CVUWQMČ+PFGZ&KUVTKDWVKQP6GEJPKSWGHQT'HHKEKGPV5GCTEJQP7PUVTWEVWTGF2GGTVQ2GGT0GVYQTMU̍6JG
+PVGTPCVKQPCN%QPHGTGPEGKP'NGEVTKECN'PIKPGGTKPI'NGEVTQPKEU%QORWVGT
6GNGEQOOWPKECVKQPUCPF+PHQTOCVKQP6GEJPQNQI[ '%6+%10 /C[
 5CVQUJK/CVUWQMČ4KUGQHVJG%QOOQFKV[8GEVQTU̍2TQE VJ+PVGTPCVKQPCN*KIJ2GTHQTOCPEG%QORWVKPIHQT%QORWVCVKQPCN5EKGPEG8'%2#45RTKPIGT.0%5
8QNRR,WPG
 *KVQUJK5CVQ5CVQUJK/CVUWQMC6QUJKQ'PFQCPF0CQ[C/CTW[COC
̌#EEGUU2CVVGTPCPF$CPFYKFVJ#YCTG(KNG4GRNKECVKQP#NIQTKVJOKPC)TKF
'PXKTQPOGPV̍VJ+'''#%/+PVGTPCVKQPCN%QPHGTGPEGQP)TKF%QORWVKPI )TKF
 VJG#%/2TGUURR
 #MKTC0WMCFC;CUWJKMQ1ICVC6QUJKQ'PFQCPF5CVQUJK/CVUWQMC̌$CPFYKFVJ
+PVGPUKXG&((6MGTPGNHQT)27UWUKPI%7&#̍2TQE#%/+'''5WRGTEQORWVKPI 5% #WUVKP6GZCUVJG+'''2TGUU0QX
 5CVQUJK/CVUWQMC-C\WUJKIG5CICCPF/WVUWOK#Q[CIK̌%QWRNGF5KOWNCVKQPG5EKGPEG5WRRQTVKPVJG0#4')+)TKF̍+'''%QORWVGT8QN0QRR

 5CVQUJK/CVUWQMC+MWJGK;COCICVC*KFG[WMK,KVUWOQVQ̌5RGEWNCVKXG%JGEMRQKPVKPI'ZRNQKVKPI6GORQTCN#HHKPKV[QH/GOQT[1RGTCVKQPU̍2TQE*2%
#UKC6CKYCP
 *KFG[WMK,KVUWOQVQ6QUJKQ'PFQ5CVQUJK/CVUWQMC̌'PXKTQPOGPVCN#YCTG
1RVKOK\CVKQPQH/2+%JGEMRQKPVKPI+PVGTXCNU̍2TQE*2%#UKC6CKYCP/CT -GPVQ5CVQ*KVQUJK5CVQ5CVQUJK/CVUWQMC̌#/QFGN$CUGF#NIQTKVJOHQT
1RVKOK\KPI+1+PVGPUKXG#RRNKECVKQPUKP%NQWFUWUKPI8/$CUGF/KITCVKQP̍+P
2TQEGGFKPIQH+PVGTPCVKQPCN9QTMUJQRQP%NQWF%QORWVKPI %NQWF KP
EQPLWPEVKQPYKVJVJGVJ+'''%%)TKF VQCRRGCT  *KVQUJK5CVQ5CVQUJK/CVUWQMC6QUJKQ'PFQ̌%NWUVGTKPI$CUGF4GRNKECVKQP#NIQTKVJOKPC)TKF'PXKTQPOGPV̍6JGVJ+'''+PVGTPCVKQPCN5[ORQUKWOQP%NWUVGT%QORWVKPICPFVJG)TKF %%)TKF  VQCRRGCT  5WOGVJ.GTVJKTWPYQPI0CQ[C/CTW[COC5CVQUJK/CVUWQMC̌#FCRVKXG4GUQWTEG+PFGZKPI6GEJPKSWGHQT7PUVTWEVWTGF2GGTVQ2GGT0GVYQTMU̍6JGVJ+'''
+PVGTPCVKQPCN5[ORQUKWOQP%NWUVGT%QORWVKPICPFVJG)TKF %%)TKF  VQ
CRRGCT  ṚỈ⌀৻ᦶ㆙⮮ᢅᄦ᧻ጟ⡡‫ޟ‬ᰴ਎ઍశࠗࡦ࠲࡯ࠦࡀࠢ࠻ߢߩ /2+ ㅢାߦ㑐ߔࠆ⎇ⓥ‫ޠ‬ᣣᧄ࠰ࡈ࠻࠙ࠚࠕ⑼ቇળࠦࡦࡇࡘ࡯࠲࠰ࡈ࠻࠙ࠚࠕ ឝタ੍ቯ 

128

 6QOQCMK*COCPQ6QUJKQ'PFQ5CVQUJK/CVUWQMC2QYGT#YCTG&[PCOKE6CUM5EJGFWNKPIHQT*GVGTQIGPGQWU#EEGNGTCVGF6JG(KHVJ9QTMUJQRQP*KIJ2GTHQTOCPEG
2QYGT#YCTG%QORWVKPIKPEQPLWPEVKQPVQ+'''+2&254QOG+VCN[/C[
VQCRRGCT  %GXCJKT#0WMCFCCPF5/CVUWQMC(CUV%QPLWICVG)TCFKGPVUYKVJ/WNVKRNG)27U
2TQE6JG+PVGTPCVKQPCN%QPHGTGPEGQP%QORWVCVKQPCN5EKGPEG +%%5 
VQCRRGCT ᩏ⺒ઃ࿖ౝળ⼏ ጊፒ⠍ᐔ㧘ਣጊ⋥਽㧘᧻ጟ⡡‫⾗ࠬ࡯ࡌ࡞࠺ࡕޟ‬Ḯㆬᛯߦࠃࠆല₸⊛ߥ઒ᗐࠢ࡜ࠬ࠲᭴
▽‫ޠ‬వㅴ⊛⸘▚ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 ⺰ᢥ㓸RR
ᖱႎಣℂቇળ 㗵↰ᓆ㧘የᒻᵏᒾ㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ޟ‬%7&#ⅣႺߦ߅ߌࠆ㜞ᕈ⢻  ᰴర ((6‫ޠ‬వㅴ⊛⸘▚ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 ⺰ᢥ㓸ᖱႎಣℂቇળRR
 ṚỈ⌀৻ᦶ㧘㆙⮮ᢅᄦ㧔᧲Ꮏᄢ㧕㧘᧻ጟ⡡‫ޟ‬శࠨ࡯ࠠ࠶࠻ࡀ࠶࠻ࡢ࡯ࠢߩ⵬ഥ⊛೑↪ߦࠃࠆ *2% ࠕࡊ࡝ࠤ࡯࡚ࠪࡦᕈ⢻ะ਄‫ߣࠣࡦࠖ࠹࡯ࡘࡇࡦࠦࠬࡦࡑ࡯ࠜࡈࡄࠗࡂޠ‬⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓᖱႎಣℂቇળ‫ ޔ‬ᐕ  ᦬ญ㗡⊒⴫࡮ࡐࠬ࠲࡯⊒⴫ ㆙⮮ᢅᄦ㧘㗵↰ ᓆ㧘᧻ጟ ⡡㧘ਣጊ⋥਽㧘ኪᧄ⧷ਯ‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹
ࡠဳࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ .KPRCEM ࠴ࡘ࡯࠾ࡦࠣ‫  ╙ޠ‬࿁‫ࡑ࡯ࠜࡈࡄࠗࡂޟ‬ࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ
㧔*1--'㧕 ਣጊ⋥਽㧘㗵↰ ᓆ㧘᧻ጟ ⡡‫)ޟ‬27 ะߌ࠰ࡈ࠻࠙ࠚࠕ '%% ߩᕈ⢻⹏ଔ‫  ╙ޠ‬࿁‫ࡂޟ‬ࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯
࡚ࠢࠪ࠶ࡊ㧔*1--'㧕 ⚦⪨␭ੱ㧘㆙⮮ᢅᄦ㧘᧻ጟ ⡡‫ߩ࠻ࠬࠦࡊ࠶ࡢࠬޟ‬േ⊛ផቯߦࠃࠆࡔࡕ࡝ߩ⋭㔚ജൻᚻᴺ‫  ╙ޠ‬࿁‫⹏ߩࡖ࠴ࠢ࠹ࠠ࡯ࠕߣࠣࡦࠖ࠹࡯ࡘࡇࡦࠦࠬࡦࡑ࡯ࠜࡈࡄࠗࡂޟ‬ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ㧔*1--'㧕 ጊፒ⠍ᐔ㧘㆙⮮ᢅᄦ㧘᧻ጟ ⡡‫ࠬ࠮ࡠࡊޟ‬㑆౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫࠍ⠨ᘦߒߚࡑࠗࠣ࡟࡯
࡚ࠪࡦᦨㆡൻ‫  ╙ޠ‬࿁‫ߩࡖ࠴ࠢ࠹ࠠ࡯ࠕߣࠣࡦࠖ࠹࡯ࡘࡇࡦࠦࠬࡦࡑ࡯ࠜࡈࡄࠗࡂޟ‬⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ㧔*1--'㧕
 #NK%GXCJKT㧘#MKTC0WMCFC㧘5CVQUJK/CVUWQMČ(CUV%QPLWICVG)TCFKGPV5QNXGTQP/WNVK)275[UVGOU̍ ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦ
ࡐࠫ࠙ࡓ *2%5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬129

 ㆙⮮ᢅᄦ㧘㗵↰ᓆ㧘᧻ጟ⡡㧘ਣጊ⋥਽㧘ኪᧄ⧷ਯ‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹
ࡠဳࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ .KPRCEM ࠴ࡘ࡯࠾ࡦࠣ‫ ޠ‬ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦ
ࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ *2%5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ የᒻᵏᒾ㧘㗵↰ᓆ㧘ਣጊ⋥਽㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ⶄޟ‬ᢙ)27ࠪࠬ࠹ࡓߦኻᔕߔ
ࠆ⥄േᦨㆡൻ&((6࡜ࠗࡉ࡜࡝‫ ޠ‬ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ
ߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ *2%5  ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ጊፒ⠍ᐔ㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ࠬ࠮ࡠࡊޟ‬㑆౒ㅢࡔࡕ࡝ࠗࡔ࡯ࠫࠍ⠨ᘦߒߚࡑࠗࠣ࡟࡯
࡚ࠪࡦᦨㆡൻ‫ ޠ‬ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙
ࡓ *2%5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ⚦⪨␭ੱ㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ޟ‬59#2 ࠕࠢ࠮ࠬᢙߩታⴕᤨផቯߦࠃࠆࡔࡕ࡝ߩ⋭㔚
ജൻᚻᴺ‫ ޠ‬ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ
*2%5  ࡐࠬ࠲࡯⊒⴫‫ޔ‬ 0CQ[C/CTW[COC㧘#MKTC0WMCFC㧘5CVQUJK/CVUWQMC̍2TGNKOKPCT['XCNWCVKQPQH
5QHVYCTG$CUGF/GOQT[(CWNV6QNGTCPEGHQT)2)27̍ ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦ
ࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ *2%5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ -GPVQ5CVQ*KVQUJK5CVQCPF5CVQUJK/CVUWQMČ/QFGN$CUGF1RVKOK\CVKQPHQT
&CVC+PVGPUKXG#RRNKECVKQPQP8KTVWCN%NWUVGT̍6JGVJ+'''#%/+PVGTPCVKQPCN%QPHGTGPEGQP)TKF%QORWVKPI )TKF  4GHGTGGF2QUVGT2TGUGPVCVKQP 
 *KFG[WMK,KVUWOQVQ6QUJKQ'PFQ5CVQUJK/CVUWQMČ'PXKTQPOGPVCNCYCTGQRVKOK\CVKQPQH/2+EJGEMRQKPVKPIKPVGTXCNU̍6JG+'''+PVGTPCVKQPCN%QPHGTGPEGQP%NWUVGT%QORWVKPI %NWUVGT  4GHGTGGF2QUVGT2TGUGPVCVKQP  ᷰㄝ␭਽㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ⶄޟ‬ᢙ )27 ߦ߅ߌࠆ࠮࡞ࡈࠬࠤࠫࡘ࡯࡝ࡦࠣߦࠃࠆਗ೉
ᢙ୯Ṷ▚‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ 59Q22 ᖱႎಣℂቇળ⎇ⓥႎ๔#4%RR ૒⮮⾫᢯㧘૒⮮ੳ㧘᧻ጟ⡡‫ޟ‬઒ᗐࠢ࡜ࠬ࠲ࠍ↪޿ߚ࠺࡯࠲ࠗࡦ࠹ࡦࠪࡉࠕࡊ࡝ࠤ࡯࡚ࠪ
ࡦߩᕈ⢻ࡕ࠺࡞᭴▽ߣᦨㆡൻ‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ
59Q22 ᖱႎಣℂቇળ⎇ⓥႎ๔*2%RR ਣጊ⋥਽᧻ጟ⡡የᒻᐽᒾ㗵↰ᓆ㆙⮮ᢅᄦ‫' ࠕࠚ࠙࠻ࡈ࠰ޟ‬%% ߦࠃࠆ )27 ࡔࡕ࡝ߩ⠴᡿㓚ᕈߩታ⃻ߣ⹏ଔ‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ
59Q22 㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔&%RR 59Q22#WI
#WI  ᧲↰ቇ෹⍹ᱜᒾဈᩮᩕ૞૒⮮ੳጊ᪸Პᄢᐸᷕ৻ዊᨋᵏਃ᳓⼱ᢥ଻ጊ
↰ᷡᔒᵤ↰⍮ሶᴡ㊁⾆ਭว↰ᙗੱ᧻ጟ⡡㕍ᩉ⌬ਅ᪯⌀ม‫ޟ‬0#4')+ ࠣ࡝࠶࠼ࡒ࠼࡞࠙ࠚࠕߦࠃࠆᄢⷙᮨㅪ៤ធ⛯ታ⸽ታ㛎‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯
ࡢ࡯࡚ࠢࠪ࠶ࡊ 59Q22 ᖱႎಣℂቇળ⎇ⓥႎ๔15RR

130 ૒⮮ੳ㧘᧻ጟ⡡㧘㆙⮮ᢅᄦ‫ޟ‬ᐢၞಽᢔࡈࠔࠗ࡞ࠪࠬ࠹ࡓߦ߅ߌࠆࠕࠢ࠮ࠬࡄ࠲࡯ࡦ
ߣᕈ⢻ࠍ⠨ᘦߒߚࡈࠔࠗ࡞㈩⟎‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ
59Q22 ᖱႎಣℂቇળ⎇ⓥႎ๔*2%RR ᵿ㊁ᥓ᣿㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫▚⸘ࡠ࠹ࡋޟ‬ⅣႺߩߚ߼ߩ⋭㔚ജ࠲ࠬࠢࠬࠤࠫࡘ࡯࡝ࡦ
ࠣ‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ 59Q22 㔚ሶᖱႎㅢାቇ
ળᛛⴚ⎇ⓥႎ๔8QN0Q %25; RR ṚỈ⌀৻ᦶ㆙⮮ᢅᄦ᧻ጟ⡡‫ޟ‬శࡀ࠶࠻ࡢ࡯ࠢߩ⵬ഥ⊛೑↪ߦࠃࠆ *2% ᕈ⢻ะ਄‫ޠ‬ᖱႎಣℂቇળ⎇ⓥႎ๔ 59Q22 *2%#WIWUV ජ⪲┙ኡ㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫࠼࠶࡝ࠣޟ‬ⅣႺߦ߅ߌࠆ /2+ 㓸࿅ㅢାࠕ࡞ࠧ࡝࠭ࡓߩᦨ
ㆡൻ‫ޠ‬ਗ೉ಽᢔද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ 59Q22 ᖱႎಣℂቇળ⎇ⓥႎ๔8QN0Q *2% 㧘RR ૒⮮⾫᢯㧘૒⮮ੳ㧘᧻ጟ⡡‫ޟ‬઒ᗐࠢ࡜ࠬ࠲ࠍ↪޿ߚ &CVC+PVGPUKXG#RRNKECVKQPታⴕⅣႺߩᕈ⢻ࡕ࠺࡞᭴▽ߣᦨㆡൻߦะߌߡ‫ޠ‬ᖱႎಣℂቇળవㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐ
ࠫ࠙ࡓ 5#%5+5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ᷰㄝ⵨਽㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫ޟ‬ਇဋ৻ߥⶄᢙ )27 ߦ߅ߌࠆ࠮࡞ࡈࠬࠤࠫࡘ࡯࡝ࡦࠣ
ߦࠃࠆਗ೉ᢙ୯Ṷ▚‫ޠ‬ᖱႎಣℂቇળవㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 
ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ᵿ㊁ᥓ᣿㧘㆙⮮ᢅᄦ㧘᧻ጟ⡡‫▚⸘ࡠ࠹ࡋޟ‬ⅣႺߩߚ߼ߩ⋭㔚ജ࠲ࠬࠢࠬࠤࠫࡘ࡯࡝
ࡦࠣ‫ޠ‬ᖱႎಣℂቇળవㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ⼱᧛ാテ㧘ጊᧄ⋥ቁ㧘⍹ᯅᜏ਽㧘↰ਛ⦟ᄦ㧘⷏Ꮉᱞᔒ㧘᧻ጟ⡡㧘㑐ญᥓ༹‫ⴡޟ‬ᤊ᷹ⷰ࠺࡯࠲ߩಣℂߣ଻▤ߩߚ߼ߩࠬ࠻࡟࡯ࠫࠪࠬ࠹ࡓߩᕈ⢻⹏ଔ‫ޠ‬ᖱႎಣℂቇળవㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬ ਣጊ⋥਽㧘᧻ጟ⡡‫࡞࠺ࡕޟ‬ൻߦၮߠ޿ߚᄢⷙᮨ⸘▚ࠪࠬ࠹ࡓะߌ⥄േ᡿㓚⸃ᨆ‫ޠ‬ᖱႎಣℂቇળవㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ 5#%5+5 ࡐࠬ࠲࡯⊒⴫‫ޔ‬⪺ᦠ
 5CVQUJK/CVUWQMČ2GVCUECNG%QORWVKPI#NIQTKVJOUCPF#RRNKECVKQPU%JCRVGT6JG4QCFVQ657$#/'CPF$G[QPF̍%JCROCP*CNN%TE%QORWVCVKQPCN5EKGPEG
5GTKGU RR⸃⺑⸥੐ ᧻ጟ⡡‫ޟ‬ᖱႎ῜⊒ᤨઍߦ߅ߌࠆᣂߒ޿ၮ⋚ᛛⴚᖱႎ῜⊒ߪᖱႎࠪࠬ࠹ࡓࠍ߽‫῜ޟ‬⊒‫ޠࠆߖߐޠ‬ᖱႎಣℂ8QN0QRR ᧻ጟ⡡‫࠲࡯࡟࡜࠮ࠢࠕޟ‬ᛛⴚߩᓇߣశ㧙ࡍ࠲㨪ࠛࠢࠨߩᰴ਎ઍ *2% ߩਛᔃ⊛ߥべㅴᛛⴚ߳‫ޠ‬ᖱႎಣℂ․㓸 ࠕࠢ࠮࡜࡟࡯࠲‫ޔ‬ౣ߮㧙ࠬࡄࠦࡦൻߩಾࠅᧅ㧙 ᦬ภ131‫ޤޣ‬8QN0Q ㅢᏎ  ภRR
ၮ⺞⻠Ṷ࡮᜗ᓙ⻠Ṷ
 5CVQUJK/CVUWQMC'XGT[DQF[5WRGTEQORWVGUKPVJG0GZV)GPGTCVKQP%[DGT5EKGPEG
+PHTCUVTWEVWTGQT[GCTUQHEQOOQFKV[EQORWVKPIVKNNPQYCPFVJGPGZV[GCTU1RGPKPIMG[PQVGVCNM+5% +PVGTPCVKQPCN5WRGTEQORWVKPI%QPHGTGPEG "&TGUFGP)GTOCP[,WPG
 5CVQUJK/CVUWQMC6JG4KUGQHVJG%QOOQFKV[8GEVQTU-G[PQVGVCNM8GERCTEQPHGTGPEG"2CTKU(TCPEG,WPG
 5CVQUJK/CVUWQMC7NVTC.QY2QYGT*2%UECNKPIUWRGTEQORWVKPID[VJTGGQTFGTUQHOCIPKVWFG+PXKVGF6CNM+PVGTPCVKQPCN#FXCPEGF4GUGCTEJ9QTMUJQRQP*KIJ
2GTHQTOCPEG%QORWVKPICPF)TKFU%GVTCTQ+VCN[,WN[
 5CVQUJK/CVUWQMC'ZCUECNG%QORWVKPI+PXKVGF2CPGNKUV+PVGTPCVKQPCN#FXCPEGF
4GUGCTEJ9QTMUJQRQP*KIJ2GTHQTOCPEG%QORWVKPICPF)TKFU%GVTCTQ+VCN[,WN[ ᧻ጟ⡡㧚ᦨవ┵ᖱႎᛛⴚߣ␠ળ࠾࡯࠭ߩⲢ๺ࠍ⋡ᜰߒߡ㨪㘧べߔࠆ 657$#/'߆ࠄቇ߱
ᣂߚߥࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߣࠣ࡝࠶࠼ᛛⴚߩዷᦸ㨪㧘᜗ᓙ⻠Ṷ‫࠹࡞ࠞ࡝ࡔ࡯ࡘ࠾ޔ‬ࠢࡁࡠࠫ࡯࠭࠮ࡒ࠽࡯‫᧲ޔ‬੩㧘 ᐕ  ᦬  ᣣ
 5CVQUJK/CVUWQMC4KUGQHVJG%QOOQFKV[)2)278GEVQTU+PXKVGF6CNM08+&+#
08+5+10%QPHGTGPEG5CP,QUG%##WIWUV
 5CVQUJK/CVUWQMC1XGTXKGYQH%QWRNGF5KOWNCVKQPG5EKGPEG5WRRQTVKPVJG0#4')+
)TKF/KFFNGYCTG-G[PQVGVCNM7-G5EKGPEG#NN*CPFU/GGVKPI'FKPDWTIJ7-
5GRVGODGT
 5CVQUJK/CVUWQMC*WPFTGF/KNNKQP%QTGUKP%QOOQFKV[9J[0QV! QT9KNN
B%WUVQO(KPCNN[ 2TGXCKN! +PXKVGF6CNM%%)5%#UJGXKNNG0%5GRVGODGT
 5CVQUJK/CVUWQMC*WPFTGF/KNNKQP%QTGUKP%QOOQFKV[9J[PQV!+PXKVGFVCNM
5KOWNCVKPIVJG(WVWTG7UKPI1PG/KNNKQP%QTGUCPF$G[QPFYQTMUJQR5GRVGODGTCV%JCVGCWFG6TGODNC[2CTKU(TCPEG5GRVGODGT
 5CVQUJK/CVUWQMC6JG4KUGQHVJG%QOOQFKV[8GEVQTU-G[PQVG6CNM(KTUV+PVGTPCVKQPCN9QTMUJQRQP*[DTKF#TEJKVGEVWTG%QORWVKPI6UWMWDC,CRCP1EVQDGT
 5CVQUJK/CVUWQMC1XGTXKGYQHVJG,CRCPGUG%[DGT5EKGEG+PHTCUVTWEVWTG6JG
+PHTCUVTWEVWTG8KGY+PXKVGF6CNM2Q\PCP5WRGTEQORWVGT%GPVGTVJ#PPKXGTUCT[%QPHGTGPEG2Q\PCP2QNCPF0QXGODGT
 5CVQUJK/CVUWQMC657$#/'CPF#EEGNGTCVGF*2%6QYCTFUCPF$G[QPF

132

2GVCHNQREQORWVKPI+PXKVGF6CNM5WP*2%%5GOKPCT#WUVKP6GZCU0QXGODGT

 5CVQUJK/CVUWQMC657$#/'CPF#EEGNGTCVGF*2%6QYCTFUCPF$G[QPF
2GVCHNQREQORWVKPI+PXKVGF6CNM0'%*2%9QTMUJQR#WUVKP6GZCU0QXGODGT
 ᧻ጟ⡡㧚ᦨᣂ 657$#/' ࠪࠬ࠹ࡓ㧚᜗ᓙ⻠Ṷ‫ޔ‬+2#$࠮ࡒ࠽࡯㧘 ᐕ  ᦬  ᣣ
 5CVQUJK/CVUWQMC#UUGUUKPIVJG2QVGPVKCN+ORCEVCPF%JCNNGPIGUQH/CP[%QTG
2TQEGUUQTUQPG5EKGPEG+PXKVGF2CPGNKUV+'''G5EKGPEG%QPHGTGPEG+PFKCPCRQNKU+PFKCPC&GEGODGT ᧻ጟ⡡㧚657$#/'ߩ᭎ⷐ਎⇇ೋߩ )27 ടㅦߐࠇߚᄢⷙᮨࠬࡄࠦࡦ㧚᜗ᓙ⻠Ṷ5)+࠮ࡒ࠽࡯㧘 ᐕ  ᦬  ᣣ ᧻ጟ⡡㧚਎⇇ೋߩᄢⷙᮨ )27 ࠕࠢ࠮࡜࡟࡯࡚ࠪࡦࠍᠩߔࠆࠬࡄࠦࡦ᜗ᓙ⻠Ṷࡌࠬ࠻ࠪࠬ࠹ࡓ࠭ )2)27࠮ࡒ࠽࡯‫╳ޔ‬ᵄࠛࡐࠞ࡞࠮ࡦ࠲࡯‫ ޔ‬ᐕ  ᦬  ᣣ
 5CVQUJK/CVUWQMC/CKPUVTGCOKPI#EEGNGTCVKQPKP*2%(KPCNN[-G[PQVG6CNM
%5+41%QORWVCVKQPCN5KOWNCVKQP5EKGPEG#PPWCN%QPHGTGPEG%CPDGTTC#WUVTCNKC
/CT

133

ᢎ᝼ 㚍⿧ ᐾᕶ㧔㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁㧕‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ጊ↰㧔ᕡᄦ㧕NIME ᢎ᝼ࠍ GSIC ቴຬᢎ᝼㧔2008.04.01 – 2009.03.31㧕ߣߒߡ᜗⡜ߒ㧘Higher
Education 㧔㜞╬ᢎ⢒㧕ߦᣈ޿ߡࠣࡠ࡯ࡃ࡞ߥዷ㐿ࠍ⷗ߖࠆࠝ࡯ࡊࡦࠦࡦ࠹ࡦ࠷ߦ㑐ߔࠆ⻉ᖱႎߩ៨ขߦോ߼ߚ㧚࠺ࠫ࠲࡞ࠦࡦ࠹ࡦ࠷ߦ㑐ߔࠆ IP㧔⍮⊛⽷↥ᮭ㧕໧㗴߳ߩኻᔕߪ㧘JOCW& CC㧔Creative Commons㧕Japan ߣߩㅪ⛊ࠍ଻ߜߥ߇ࠄ߽㧘ᄢቇో૕ߣߒߡߩᢎ⢒࠺ࠫ࠲࡞ࠦࡦ࠹ࡦ࠷ᖱႎ⊒ାో⥸ߦ㑐ࠊࠆ઀⚵ߺࠍ᭴▽ߔࠆߦߪ⥋ߞߡ޿ߥ޿㧚‫⺰ޣ‬ᢥ╬‫  ޤ‬
1)

Jaeyoung Jung, Nobuyasu Makoshi, Hiroyuki Akama,
Associative Language Learning Support Applying Graph Clustering---for Vocabulary Learning
and Improving Associative Ability, ICALT2008, pp. 228-232‫⻠ޣ‬Ṷ╬‫ޤ‬1)‫ޟ‬TokyoTech OCW ߦߟ޿ߡ‫ޠ‬
ᐔᚑ 20 ᐕᐲ ᖱႎᢎ⢒⎇ⓥ㓸ળ JOCW 㑐ଥ․೎࠮࠶࡚ࠪࡦ
‫ߩ࠷ࡦ࠹ࡦࠦࡦࡊ࡯ࠝޟ‬਎⇇⊛ầᵹ‫ޠ‬㧔JOCW㧕
2008.12.12㧔㊄㧕㧘ർ਻Ꮊ࿖㓙ળ⼏႐‫ޣ‬ฦ⒳ࡊࡠࠫࠚࠢ࠻࡮ᆔຬળ╬‫ޤ‬1) NIME IT ᢎ⢒ᡰេද⼏ળ 㧠ᄢቇㅪวⶄว㗔ၞࠦ࡯ࠬ IT ൻࠦࡦ࠰࡯ࠪࠕࡓઍ⴫
2) NIME ICT ᵴ↪ᢎ⢒ᡰេද⼏ળ㧔ᣥ㨯IT ᢎ⢒ᡰេද⼏ળ㧕㨯೽ળ㐳3) TokyoTech OCW WG ਥᩏ㧔JOCW ᧲੩Ꮏᬺᄢቇㅪ⛊ઍ⴫⠪㧕4) JOCW㧔Japan OCW Consortium㧕ᐙ੐134ಎᢎ᝼ ᦸ᦬ ␭ᵗ㧔㆙㓒࡮ࡑ࡞࠴ࡔ࠺ࠖࠕᢎ⢒ಽ㊁㧕ᢎ⢒↪േ↹ࠦࡦ࠹ࡦ࠷㚟േဳࠨ࡯ࡆࠬߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ ㄭᐕ‫ޔ‬YouTube ߿ࡐ࠶࠼ࠠࡖࠬ࠹ࠖࡦࠣࠍߪߓ߼ߣߔࠆ Web ਄ߩേ↹ࠦࡦ࠹ࡦ࠷ߩ೑↪
ࠨ࡯ࡆࠬߩ᥉෸ߦߣ߽ߥ޿‫ޔ‬ᇅᭉ↪‫ޔ‬ᢎ⢒↪ࠍ฽߻ᄙ᭽ߥࠦࡦ࠹ࡦ࠷ߩᵹㅢ߇ଦㅴߐࠇߡ
޿ࠆ㧚ᧄ⎇ⓥߢߪ‫ޔ‬ᢎ⢒↪േ↹ࠦࡦ࠹ࡦ࠷ߦࡊࡠࠣ࡜ࡓࠍၒ߼ㄟ߻ߎߣߢ‫ޔ‬േ↹ࠦࡦ࠹ࡦ࠷ߩౣ↢ߦหᦼߔࠆ߆ߚߜߢ㑐ㅪߔࠆࡊࡠࠣ࡜ࡓ߿ࠨ࡯ࡆࠬߩ೙ᓮࠍታ⃻ߔࠆߚ߼ߩၮ⋚ࠪࠬ࠹ࡓߩ᭴▽ࠍㅴ߼ߡ޿ࠆ㧚߹ߚ‫ߥ߁ࠃߩߎޔ‬േ↹ࠦࡦ࠹ࡦ࠷ߦၒ߼ㄟ߻ࡊࡠࠣ࡜ࡓߩ
㐿⊒ⅣႺߩࡌ࡯ࠬߣߒߡ Wiki ߩᛛⴚࠍዉ౉ߔࠆߎߣߢ‫ޔ‬㓸ว⍮ߩᚻᴺࠍขࠅ౉ࠇߚද⺞ࠬࠢ࡝ࡊ࠹ࠖࡦࠣߩ࠹ࠬ࠻ࡌ࠶࠼ߣߒߡߩ೑↪ࠍᗐቯߒߡ޿ࠆ㧚ᧄ⎇ⓥᚑᨐߦࠃߞߡ‫ޔ‬Web਄ߩ⼾ንߥേ↹ࠦࡦ࠹ࡦ࠷ߦᣂߚߥଔ୯ࠍ⾮ਈߔࠆߣߣ߽ߦ‫ⶄޔ‬ᢙߩേ↹ࠦࡦ࠹ࡦ࠷㑆‫ޔ‬േ↹ࠦࡦ࠹ࡦ࠷ߣ Web ࠨ࡯ࡆࠬ㑆‫ޔ‬േ↹ࠦࡦ࠹ࡦ࠷ߣ࡙ࡆࠠ࠲ࠬࠨ࡯ࡆࠬ㑆ߣ޿ߞߚⶄᢙ
ࠨ࡯ࡆࠬߩㅪ៤ߦࠃࠆᣂߚߥࠨ࡯ࡆࠬߩഃ಴ࠍ߽ⷞ㊁ߦ౉ࠇߡ޿ࠆ㧚ᧄᐕᐲߪ‫ࡊ࡝ࠢࠬޔ‬࠻ࠛࡦࠫࡦߩታⵝࠍ฽߻ၮ⋚ࠪࠬ࠹ࡓߩࡊࡠ࠻࠲ࠗࡇࡦࠣࠍㅴ߼ࠆߣߣ߽ߦ‫ޔ‬േ↹ࠦࡦ࠹ࡦ࠷ߦၒ߼ㄟ߻ࠬࠢ࡝ࡊ࠻ߩࠨࡦࡊ࡞ታⵝࠍⴕߞߚ㧚‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬
1)Masahiro Mochizuki: Movie-driven Control of Ubiquitous Services, International
Workshop on Ubiquitous and Knowledge Computing (IWUKC2008), Pori, Finland,
August (2008).

2)

Masahiro

Mochizuki:

Movie-driven

ControlofUbiquitous

Services,

Asian-European Workshop on Ubiuitous Computing (AEWUC2008), Oulu, Finland,
August (2008).
3)ㄭ⮮੫ᄥ, ᦸ᦬␭ᵗ: 㓸ว⍮䉕↪䈇䈢⼏੐㍳䈻䈱䉝䉪䉶䉲䊎䊥䊁䉞ะ਄ᡰេ䉲䉴䊁䊛䈱㐿⊒, ᖱႎಣℂቇળ╙ 71 ࿁ో࿖ᄢળ⻠Ṷ⺰ᢥ㓸, Vol. 4, pp. 149-150, 3
᦬ (2009).

4)

ጯ㊁৻ੑਃ䋬ᦸ᦬␭ᵗ: RSS 䈱ㆬᛯ⊛㈩ା䈮䉋䉎 LAN ౝᖱႎㅢ⍮౞Ṗൻ䉲䉴䊁䊛, ᖱႎಣℂቇળ╙ 71 ࿁ో࿖ᄢળ⻠Ṷ⺰ᢥ㓸, Vol.1, pp. 615-616, 3 ᦬ (2009).

5)

ዊጊ␭᮸, ᦸ᦬␭ᵗ: 㓸ว⍮䈮䉋䉎 Web 䊄䉨䊠䊜䊮䊃䈱䉝䊆䊜䊷䉲䊢䊮ൻᡰេ, ᖱႎಣℂቇળ╙ 71 ࿁ో࿖ᄢળ⻠Ṷ⺰ᢥ㓸, Vol. 4, pp.105-106, 3 ᦬ (2009).

6)

ᦸ᦬␭ᵗ: ࡣࠠ Ǘ ߦࠃࠆ࡙ࡆࠠ࠲ࠬⶄวࠨ࡯ࡆࠬ㐿⊒ᡰេ㧘ᖱႎಣℂቇ⺰ᢥ⹹, Vol.49, No.6, pp.1920-1931, 6 ᦬ (2008).

135↥ቇቭㅪ៤⎇ⓥຬ㗵↰ ᓆ

%7&#)27 ߦࠃࠆ㜞ᕈ⢻߆ߟ㜞㔚ജല₸ߥ ᰴర ((6 ߩታ⃻‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬⑼ቇᛛⴚᝄ⥝ᯏ᭴ᚢ⇛⊛ഃㅧ⎇ⓥផㅴ੐ᬺ‫ޡ‬ULP-HPC: ᰴ਎ઍ࠹ࠢࡁࡠࠫߩࡕ࠺࡞ൻ࡮ᦨ
ㆡൻߦࠃࠆ⿥ૐᶖ⾌㔚ജࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ‫৻ߩ࠻ࠢࠚࠫࡠࡊޢ‬Ⅳߣߒߡ, HPC ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߦ߅ߌࠆ㜞޿㔚ജല₸ߩታ⃻ࠍ⋡ᮡߦ⎇ⓥࠍⴕߞߡ޿ࠆ.
Graphics Processing Unit (GPU) ߪ 3 ᰴరⓨ㑆ߩ↹௝ࠍ࡟ࡦ࠳࡝ࡦࠣߔࠆ╬ߩ⽶⩄߇㊀޿ಣℂࠍ㜞ㅦൻߔࠆࠕࠢ࠮࡜࡟࡯࠲ߢ޽ࠅ, ฎߊ߆ࠄࠣ࡜ࡈࠖ࠶ࠢࡢ࡯ࠢࠬ࠹࡯࡚ࠪࡦߦ៞タߐࠇߡ޿ߚ߇੹ᣣߢߪ㕖Ᏹߦりㄭߥ߽ߩߣߥߞߡ޿ࠆ㧚GPU ߪන⚐ߥ⸘▚ಣℂࠍᄙ
ᢙ➅ࠅ㄰ߔߎߣߦ⑲ߢߚࠕ࡯ࠠ࠹ࠢ࠴ࡖߢ޽ࠅ, ߘߩࡇ࡯ࠢᶋേዊᢙṶ▚ᕈ⢻, ࡔࡕ࡝ࡃࡦ࠼᏷ߣ߽ߦ CPU ߩߘࠇࠍ㆝߆ߦ਄࿁ࠆ. ߹ߚ CPU ߩᶖ⾌㔚ജ߇㜞㛛ߔࠆ௑ะߦ޽ࠆ
੹, GPU ߩ㜞޿㔚ജല₸߇ᵈ⋡ߐࠇߡ޿ࠆ. ߎߩߚ߼ GPU ࠍ⑼ቇᛛⴚ⸘▚╬ߦ↪޿ࠆ੐଀߇ᐞߟ߆ሽ࿷ߔࠆ߇, GPU ߩࠕ࡯ࠠ࠹ࠢ࠴ࡖߦㆡวߔࠆ, ࠣ࡜ࡈࠖ࠶ࠢಣℂߦૃߚ⸘▚ߦ㒢ࠄࠇߡ޿ߚ. ㄭᐕ General-Purpose computation on Graphics Processing Unit
(GPGPU) ߣ޿߁, GPU ࠍ૶ߞߡࠃࠅ⥄↱ᐲߩ㜞޿⸘▚ࠍⴕ߁ᛛⴚߦᵈ⋡߇㓸߹ߞߡ޿ࠆ.
GPU ࠍ↪޿ߚ⑼ቇᛛⴚ⸘▚ߢߪ᳢↪ CPU ߣᲧߴߡ㕖Ᏹߦ㜞޿Ṷ▚ᕈ⢻ߣࡔࡕ࡝ࠕࠢ࠮
ࠬᕈ⢻ࠍ↪޿ࠆߎߣ߇ߢ߈ࠆ. CUDA ⅣႺߢߪᓥ᧪ߩ GPU ߣᲧߴߡࡔࡕ࡝ࠕࠢ࠮ࠬߩ⥄↱ᐲ߇Ⴧടߒ, ߹ߚ౒᦭ࡔࡕ࡝ߩ೑↪ߦࠃࠅⶄ㔀ߥࠕ࡞ࠧ࡝࠭ࡓࠍㆡ↪ߔࠆߎߣ߇น⢻ߣ
ߥߞߚ. ᚒ‫ ߪޘ‬CUDA ⅣႺߦㆡߒߚ 3 ᰴర FFT ࠕ࡞ࠧ࡝࠭ࡓࠍឭ᩺ߒߚ. X ゲᣇะߩ⸘▚ߦߪ౒᦭ࡔࡕ࡝ࠍᵴ↪ߒ, Y ゲ, Z ゲᣇะߩ⸘▚ߦߪ㜞޿ࡔࡕ࡝ࠕࠢ࠮ࠬᕈ⢻ࠍᵴ߆ߒߡࡌࠢ࠻࡞⸘▚ᯏะߌߩ multirow FFT ࠕ࡞ࠧ࡝࠭ࡓࠍ↪޿, ߐࠄߦォ⟎ಣℂࠍ⚵ߺวࠊߖࠆߎߣߦࠃߞߡࡔࡕ࡝ࠕࠢ࠮ࠬࡄ࠲࡯ࡦࠍᦨㆡൻߒߚ. GeForce 8 ࠪ࡝࡯࠭ߩ GPU ߦ߅ߌࠆᕈ⢻⹏ଔߢߪ 256256256 ߩ 3 ᰴర FFT ߩ⸘▚ߦ߅޿ߡ NVIDIA ߩ CUFFT࡜ࠗࡉ࡜࡝ߣᲧセߒߡ 3.1㨪3.3 ୚ߣߥࠆᦨᄢ 84GFLOPS ߩṶ▚ᕈ⢻ࠍ㆐ᚑߒߚ. ߹ߚ㔚ജല₸(GFLOPS/Watt)ߦ߅޿ߡ߽ CPU ߣᲧߴߡ㧠୚એ਄ߩะ਄ࠍታ⃻ߒߚ.

‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1) 㗵↰ᓆ, የᒻᵏᒾ, ㆙⮮ᢅᄦ, ᧻ጟ⡡. ‫ޟ‬CUDA ⅣႺߦ߅ߌࠆ㜞ᕈ⢻ 3 ᰴర FFT‫ޠ‬, వㅴ⊛ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ SACSIS2008 ⺰ᢥ㓸, pp. 81-88, 2008.
2) ਣጊ⋥਽, ᧻ጟ⡡, የᒻᐽᒾ, 㗵↰ᓆ, ㆙⮮ᢅᄦ. ‫ ࠕࠚ࠙࠻ࡈ࠰ޟ‬ECC ߦࠃࠆ GPU ࡔࡕ࡝ߩ⠴᡿㓚ᕈߩታ⃻ߣ⹏ଔ‫ޠ‬, ਗ೉/ಽᢔ/ද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ

136

(SWopp2008), 㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔ DC-2008-20, pp. 9-16, 2008.
3) 㗵↰ᓆ, የᒻᵏᒾ, ㆙⮮ᢅᄦ, ᧻ጟ⡡. ‫ޟ‬CUDA ⅣႺߦ߅ߌࠆ㜞ᕈ⢻ 3 ᰴర FFT‫ޠ‬, ᖱ
ႎಣℂቇળ⺰ᢥ⹹ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠪࠬ࠹ࡓ (ACS), Vol. 1, No. 2, pp. 231-239,
2008.
4) Satoshi Matsuoka, Takayuki Aoki, and Akira Nukada. “Rise of the Commodity
GPGPU Vectors”, NVIDIA Research Summit in NVISION 08, San Jose, 2008.
5) 㗵↰ᓆ, ‫ޟ‬GPU ߦࠃࠆ 3D-FFT ߩ㜞ㅦታⵝߦߟ޿ߡ‫ޠ‬, IPAB ࠕࠢ࠮࡜࡟࡯࠲ WG ࠮ࡒ࠽࡯, ᧲੩Ꮏᬺᄢቇࠨࡇࠕࡊ࡜ࠩ, 9 ᦬, 2008.
6) Akira Nukada, Yasuhiko Ogata, Toshio Endo and Satoshi Matsuoka. “Bandwidth
Intensive 3-D FFT kernel for GPUs using CUDA”, In Proceedings of the
ACM/IEEE conference on Supercomputing (SC'08), 2008.
7) Cevahir Ali, Nukada Akira, Matsuoka Satoshi. “Fast Conjugate Gradient Solver on
Multi-GPU Systems“, 2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪ
ࡦࡐࠫ࠙ࡓ(HPCS2009), ࡐࠬ࠲࡯, 2009.
8) ㆙⮮ᢅᄦ, 㗵↰ᓆ, ᧻ጟ⡡, ਣጊ⋥਽, ኪᧄ⧷ਯ. ‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹ࡠဳ
ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ Linpack ࠴ࡘ࡯࠾ࡦࠣ‫ޠ‬, 2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬ
ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS2009), ࡐࠬ࠲࡯, 2009.
9) የᒻᵏᒾ, 㗵↰ᓆ, ਣጊ⋥਽, ㆙⮮ᢅᄦ, ᧻ጟ⡡. ‫ⶄޟ‬ᢙ GPU ࠪࠬ࠹ࡓߦኻᔕߔࠆ⥄േᦨㆡൻ 3D-FFT ࡜ࠗࡉ࡜࡝‫ޠ‬, 2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘
▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS2009), ࡐࠬ࠲࡯, 2009.
10) Maruyama Naoya, Nukada Akira, Matsuoka Satoshi, “Preliminary Evaluation ofSoftware-Based Memory Fault Tolerance for GPGPU”, 2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬ
ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS2009), ࡐࠬ࠲࡯, 2009.
11) ㆙⮮ᢅᄦ, 㗵↰ᓆ, ᧻ጟ⡡, ਣጊ⋥਽, ኪᧄ⧷ਯ. ‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹ࡠဳ
ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ Linpack ࠴ࡘ࡯࠾ࡦࠣ‫ޠ‬, ╙ 16 ࿁‫ࡦࡑ࡯ࠜࡈࡄࠗࡂޟ‬ࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ(HOKKE-2009) ⺰ᢥ㓸, pp. 13-18, 200912) ਣጊ⋥਽, 㗵↰ᓆ, ᧻ጟ⡡. ‫ޟ‬GPU ะߌ࠰ࡈ࠻࠙ࠚࠕ ECC ߩᕈ⢻⹏ଔ‫ޠ‬,╙ 16 ࿁‫ࡂޟ‬ࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯
࡚ࠢࠪ࠶ࡊ (HOKKE-2009) ⺰ᢥ㓸, pp. 25-30, 2009.

137↥ቇቭㅪ៤⎇ⓥຬ ਣጊ ⋥਽)2)27 ะߌ࠰ࡈ࠻࠙ࠚࠕ '%%‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬㜞޿ᶋേዊᢙὐṶ▚ᕈ⢻ߦࠃࠅ‫ޔ‬GPU ࠍ HPC ↪ㅜߦ↪޿ࠆ GPGPU ߇ᵈ⋡ߐࠇߡ޿ࠆ‫ޕ‬ߒ߆ߒ‫ޔ‬GPU ߪᧄ᧪ࠣ࡜ࡈࠖ࠶ࠢࠬ↪ㅜߦ㐿⊒ߐࠇߡ߈ߚ߽ߩߢ޽ࠅ‫ޔ‬HPC ↪ㅜߣߒߡߪ⠴᡿㓚ᕈߦਇචಽߥὐ߇ሽ࿷ߔࠆ‫ߩࠅ⺋࡝ࡕࡔޔߡߒߣߟ৻ߩߘޕ‬ᬌ಴‫⸓ޔ‬ᱜ߇᜼ߍࠄࠇࠆ‫ ߩ⁁⃻ޕ‬GPU ߦߪ ECC ࠍ஻߃ߚ߽ߩߥߊ‫ ߥ⊛⥸৻ޔ‬HPC ⸘▚ࡁ࡯࠼ߣᲧセߒߡା㗬ᕈߦഠࠆ‫ޕ‬ᚒ‫ޔߪޘ‬GPU ߩା㗬ᕈะ਄ߩߚ߼ߦ‫ߩࠅ⺋࡝ࡕࡔߡߞࠃߦࠕࠚ࠙࠻ࡈ࠰ޔ‬ᬌ಴‫⸓ޔ‬ᱜࠍⴕ߁ᚻᴺࠍឭ᩺ߒߚ‫ᧄޕ‬ᚻᴺߢߪ‫ޔ‬GPGPU ࠕࡊ࡝ࠤ࡯࡚ࠪࡦਛߦ ECC ࠍ⸘▚‫ޔ‬ᬌᩏߔࠆࠦ࡯࠼ࠍㅊടߔࠆߎߣߢ‫࡝ࡕࡔࠬࠢ࠶ࠖࡈ࡜ࠣޔ‬ਛߩࡆ࠶࠻ࡈ࡝࠶ࡊߥߤ
ߩ⺋ࠅࠍᬌ಴‫⸓ޔ‬ᱜߔࠆ‫ޕ‬ឭ᩺ᚻᴺࠍ Nvidia ߦࠃࠆ C ⸒⺆᜛ᒛ CUDA ะߌߦ࡜ࠗࡉ࡜࡝
ߣߒߡታⵝߒ‫ޔ‬FFT‫ⴕޔ‬೉Ⓧ‫ޔ‬N ૕໧㗴ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߦㆡ↪ߒߚ‫ޕ‬ਔࠕࡊ࡝ࠤ࡯࡚ࠪ
ࡦࠍ↪޿ߡ‫ޔ‬ECC ⸘▚ߦࠃࠆᕈ⢻ࠝ࡯ࡃ࡯ࡋ࠶࠼ࠍ⺞ᩏߒߚߣߎࠈ‫ޔ‬FFT‫ⴕޔ‬೉Ⓧߢᦨᄢ
300%⒟ᐲ, N ૕໧㗴ߢ 15%⒟ᐲߩࠝ࡯ࡃ࡯ࡋ࠶࠼ߦߥࠆߎߣࠍ⏕⹺ߒ‫ޔ‬N ૕໧㗴ߩࠃ߁ߦࡔࡕ࡝ࠕࠢ࠮ࠬ㗫ᐲߦኻߒߡ⸘▚㊂ߩᄙ޿ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߢߪᲧセ⊛ዊߐߥࠝ࡯ࡃ࡯
ࡋ࠶࠼ߢታ⃻น⢻ߢ޽ࠆߎߣࠍ⏕⹺ߒߚ‫ޕ‬ಽᢔࠪࠬ࠹ࡓߦ߅ߌࠆ᡿㓚ᬌ⍮ߣ੍᷹‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ࠢ࡜ࠬ࠲߿ࠣ࡝࠶࠼ߥߤߦઍ⴫ߐࠇࠆࠃ߁ߦ‫߇ࡓ࠹ࠬࠪޔ‬ᄢⷙᮨൻ‫ࠖ࠹ࠖ࠺ࡕࠦޔ‬ൻߐࠇࠆߦߟࠇߡ᡿㓚ߩේ࿃․ቯ߇໧㗴ߦߥߞߡ߈ߡ޿ࠆ‫ߪࠇߎޕ‬ᄢⷙᮨൻߦࠃࠅ᡿㓚ߩේ࿃▎
ᚲߩ․ቯ߇࿎㔍ߦߥࠆߎߣ߇ේ࿃ߣߒߡ޽ߍࠄࠇࠆ‫߫߃଀ޕ‬ᢙචࡁ࡯࠼ⷙᮨߩዊⷙᮨߥࠢ
࡜ࠬ࠲ߢߪ᡿㓚▎ᚲߪฦࡁ࡯࠼ࠍ▤ℂ⠪߇ੱᚻߢߩ⸻ᢿ߽ਇน⢻ߢߪߥ޿߇‫ޔ‬ᢙ⊖‫ޔ‬ᢙජࡁ࡯࠼ⷙᮨߩࠢ࡜ࠬ࠲ߢߪ㕖⃻ታ⊛ߢ޽ࠆ‫ࠍࡓ࠹ࠬࠪޔߚ߹ޕ‬᭴ᚑߔࠆࡂ࡯࠼࠙ࠚࠕ‫࠰ޔ‬ࡈ࠻࠙ࠚࠕ߇ᄙߊߩࠦࡕ࠺ࠖ࠹ࠖࠦࡦࡐ࡯ࡀࡦ࠻ߦಽഀߐࠇߟߟ޽ࠆߎߣ߽‫ޔ‬᡿㓚⸃ᨆ߇࿎㔍ߦߥࠆේ࿃ߩ৻ߟߢ޽ࠆ‫ޔߪࠇߎޕ‬᭴ᚑࠦࡦࡐ࡯ࡀࡦ࠻ߩჇടߦߟࠇߡࠦࡦࡐ࡯ࡀࡦ
࠻㑆ߩേ૞ᬌ⸽߇࿎㔍ߦߥࠆߚ߼‫▤ࡓ࠹ࠬࠪߚ߹ޔ‬ℂ⠪߇ߘࠇࠄߩᄙᢙߩࠦࡦࡐ࡯ࡀࡦ࠻
߆ࠄߥࠆࠪࠬ࠹ࡓࠍ⠌ᾫ‫▤ޔ‬ℂߔࠆߎߣ߇࿎㔍ߦߥࠆߚ߼ߢ޽ࠆ‫ޕ‬ᚒ‫ߪޘ‬਄ㅀߩ໧㗴ࠍ⸃᳿ߔࠆ‫࠲ࠬ࡜ࠢޔ‬਄ߩಽᢔࡒ࠼࡞࠙ࠚࠕะߌ᡿㓚⸃ᨆᡰេᛛⴚࠍឭ
᩺ߒߚ‫ᧄޕ‬ᚻᴺߪ‫ߩࡓ࠹ࠬࠪޔ‬ታⴕ࠻࡟࡯ࠬߣߘߩࡕ࠺࡞ൻߦၮߠߊ‫ޔߕ߹ޕ‬ᱜߒߊታⴕ
ߐࠇߚ႐ว㧔ᱜ଀㧕ߩታⴕᤨ㑐ᢙ๭߮಴ߒ࠻࡟࡯ࠬࠍขᓧߒ‫ߥ࠻ࠢࡄࡦࠦޔ‬ᱜ଀ታⴕࡕ࠺
࡞ࠍ᭴▽ߔࠆ‫ޕ‬᡿㓚⊒↢ᤨߦߪታⴕ࠻࡟࡯ࠬਛߩ㑐ᢙ๭߮಴ߒࠍᱜ଀ታⴕࡕ࠺࡞ߣᲧセߒ‫ޔ‬ࡕ࠺࡞ߣߩਵ㔌ࠍ⴫ߔ⇣Ᏹᐲࠍ⸘▚ߔࠆ‫⇣ߚߒ▚⸘ޕ‬Ᏹᐲߩ㜞޿㗅ߦ㑐ᢙ๭߮಴ߒࠍ᡿㓚ߩ⸃ᨆ⠪ߦឭ␜ߔࠆ‫⚿ߩߎޕ‬ᨐࠍၮߦ‫⸃ޔ‬ᨆ⠪ߪ᡿㓚⊒↢ᤨߩ㑐ᢙ๭߮಴ߒߦߟ޿ߡ⇣Ᏹᐲ㗅ߦᬌ⸽ߔࠆߎߣߢ‫ࠅࠃޔ‬ේ࿃▎ᚲߩน⢻ᕈߩ㜞޿▎ᚲࠍఝవ⊛ߦᬌ⸽ߔࠆߎߣ߇ߢ߈

138

ࠆ‫ޕ‬
⹏ଔ⚿ᨐឭ᩺ᚻᴺࠍ⹏ଔߔࠆߚ߼ߦ‫ޔ‬MPI ታⵝߩ৻ߟߢ޽ࠆ MPICH ߦᧄᚻᴺࠍㆡ↪ߒ‫ޔ‬ᣢ⍮ߩࡃࠣࠍᬌ಴น⢻߆⹏ଔߒߚ‫ޕ‬ᢪ⮮ࠄߦࠃߞߡႎ๔ߐࠇߡ޿ࠆㅢࠅ‫ޔ‬MPICH ߩ࡚ࠫࡉࡑࡀ࡯ࠫࡖߦߪᐢၞⅣႺߦ߅޿ߡ಴⃻⏕₸߇㜞ߊߥࠆ࠲ࠗࡒࡦࠣࡃࠣ߇ሽ࿷ߔࠆ‫ޕ‬ห࡚ࠫࡉࡀ࡯ࠫࡖߩ㑐ᢙ࠻࡟࡯ࠬࠍᱜ଀ᤨ‫ޔ‬᡿㓚ᤨ౒ߦขᓧߒ‫ޔ‬ᱜ଀ࡕ࠺࡞ߩ᭴▽‫ޔ‬᡿㓚࠻࡟࡯ࠬߩ⇣Ᏹᐲߩ⸘▚ࠍⴕߞߚ‫ޕ‬ᱜ଀ᤨߩ࠻࡟࡯ࠬߪන৻᜚ὐߩ 58 ࡁ࡯࠼ࠍ↪޿‫ޔ‬᡿㓚⊒↢ᤨߩ࠻࡟࡯ࠬߪ 3 ᜚ὐ 78 ࡁ࡯࠼ߩ⾗Ḯࠍ↪޿ߚ‫⚿ߩߘޕ‬ᨐ‫ޔ‬หࡃࠣߦࠃߞߡㅢା〝߇ಾᢿߐࠇߚ▎ᚲࠍ⇣Ᏹᐲߩ㜞޿ᝄࠆ⥰޿ߣߒߡ․ቯߒ‫ޔ‬ಽᢔࠪࠬ࠹ࡓߦ߅ߌࠆࡃࠣᬌ಴
ߦᧄឭ᩺ᚻᴺ߇᦭ലߢ޽ࠆߎߣࠍ⏕⹺ߒߚ‫ޕ‬‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1.

Naoya Maruyama and Satoshi Matsuoka, "Model-Based Fault Localization in
Large-Scale Computing Systems," the 22nd IEEE International Parallel andDistributed Processing Symposium (IPDPS'08), Miami, FL, USA, April 2008.

2.

ਣጊ⋥਽㧘㗵↰ ᓆ㧔᧲Ꮏᄢ㧛JST㧕㧘᧻ጟ ⡡㧔᧲Ꮏᄢ㧛NII㧛JST㧕, ‫ޟ‬GPU ะߌ࠰ࡈ࠻࠙ࠚࠕ ECC ߩᕈ⢻⹏ଔ‫ޠ‬, ╙ 16 ࿁‫ࠣࡦࠖ࠹࡯ࡘࡇࡦࠦࠬࡦࡑ࡯ࠜࡈࡄࠗࡂޟ‬ߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ㧔HOKKE-2009㧕, 20093.

Naoya Maruyama 㧘 Akira Nukada, Satoshi Matsuoka 㧔 Tokyo Tech/JST 㧕 ,"Preliminary Evaluation of Software-Based Memory Fault Tolerance for GPGPU,"2009 ᐕ ࡂ ࠗ ࡄ ࡈ ࠜ ࡯ ࡑ ࡦ ࠬ ࠦ ࡦ ࡇ ࡘ ࡯ ࠹ ࠖ ࡦ ࠣ ߣ ⸘ ▚ ⑼ ቇ ࠪ ࡦ ࡐ ࠫ ࠙ ࡓ(HPCS2009)‫࡯࠲ࠬࡐޔ‬, 20094.

ਣጊ⋥਽, ᧻ጟ⡡, የᒻᐽᒾ, 㗵↰ᓆ, ㆙⮮ᢅᄦ, ‫ ࠕࠚ࠙࠻ࡈ࠰ޟ‬ECC ߦࠃࠆ GPU ࡔࡕ࡝ߩ⠴᡿㓚ᕈߩታ⃻ߣ⹏ଔ‫ޠ‬, ਗ೉/ಽᢔ/ද⺞ಣℂߦ㑐ߔࠆࠨࡑ࡯ࡢ࡯࡚ࠢࠪ࠶ࡊ
(SWopp2008), 㔚ሶᖱႎㅢାቇળᛛⴚ⎇ⓥႎ๔ DC-2008-20, pp. 9-16 (SWopp2008,
Aug 5- Aug 7), 20085.

የᒻᵏᒾ,ਣጊ⋥਽,㆙⮮ᢅᄦ,᧻ጟ⡡, ‫ޟ‬ᕈ⢻ࡕ࠺࡞ߦၮߠߊ CPU ෸߮ GPU ࠍ૬↪ߔࠆല₸⊛ߥ FFT ࡜ࠗࡉ࡜࡝‫ޠ‬, ᖱႎಣℂቇળ⺰ᢥ⹹, Vol.1㧘No.1 (ACS22)㧘 pp. 40-50,
2008

6.

የᒻ ᵏᒾ㧘㆙⮮ ᢅᄦ㧘ਣጊ ⋥਽㧘᧻ጟ ⡡, ‫ޟ‬ᕈ⢻ࡕ࠺࡞ߦၮߠߊ CPU ෸߮ GPUࠍ૬↪ߔࠆല₸⊛ߥ FFT ࡜ࠗࡉ࡜࡝‫ޠ‬, ࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘
▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS), pp. 107--114, 20087.

㆙⮮ᢅᄦ㧘㗵↰ ᓆ㧔᧲Ꮏᄢ㧛JST㧕㧘᧻ጟ ⡡㧔᧲Ꮏᄢ㧛NII㧛JST㧕㧘ਣጊ⋥਽㧘ኪᧄ⧷ਯ㧔᧲Ꮏᄢ㧛JST㧕, ‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹ࡠဳࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲
ߦ߅ߌࠆ Linpack ࠴ࡘ࡯࠾ࡦࠣ‫ޠ‬, ╙ 16 ࿁‫ࡦࠖ࠹࡯ࡘࡇࡦࠦࠬࡦࡑ࡯ࠜࡈࡄࠗࡂޟ‬ࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔ‫ߦޠ‬㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ㧔HOKKE-2009㧕, 20098.

㆙⮮ ᢅᄦ㧘㗵↰ ᓆ㧘᧻ጟ ⡡㧘ਣጊ ⋥਽㧘ኪᧄ ⧷ਯ㧔᧲Ꮏᄢ㧕‫ޔ‬‫ޟ‬྾⒳ࡊࡠ࠮࠶ࠨ߆

139

ࠄߥࠆࡋ࠹ࡠဳࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ Linpack ࠴ࡘ࡯࠾ࡦࠣ‫ޔޠ‬2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS2009)‫࡯࠲ࠬࡐޔ‬,20099.

የᒻ ᵏᒾ㧘㗵↰ ᓆ㧘ਣጊ ⋥਽㧘㆙⮮ ᢅᄦ㧔᧲Ꮏᄢ/JST㧕㧘᧻ጟ ⡡㧔᧲Ꮏᄢ/JST/NII㧕‫ޔ‬‫ⶄޟ‬ᢙ GPU ࠪࠬ࠹ࡓߦኻᔕߔࠆ⥄േᦨㆡൻ 3D-FFT ࡜ࠗࡉ࡜࡝‫ޠ‬, 2009 ᐕࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߣ⸘▚⑼ቇࠪࡦࡐࠫ࠙ࡓ(HPCS2009)‫࡯࠲ࠬࡐޔ‬,2009

10. Sumeth Lerthirunwong, Naoya Maruyama, Satoshi Matsuoka, "Adaptive
Resource Indexing Technique for Unstructured Peer-to-Peer Networks," The 9thIEEE International Symposium on Cluster Computing and the Grid (CCGrid2009),
2009 (to appear)
11. Sumeth Lerthirunwong, Naoya Maruyama and Satoshi Matsuoka, "Index
Distribution Technique for Efficient Search on Unstructured Peer-to-Peer
Networks," the International Conference in Electrical Engineering/Electronics,
Computer, Telecommunications, and Information Technology (ECTI-CON 2008),
May 2008.
12. ጊፒ⠍ᐔ㧘ਣጊ⋥਽㧘᧻ጟ⡡ ‫⾗ࠬ࡯ࡌ࡞࠺ࡕޟ‬Ḯㆬᛯߦࠃࠆല₸⊛ߥ઒ᗐࠢ࡜ࠬ࠲
᭴▽‫ޠ‬, వㅴ⊛⸘▚ၮ⋚ࠪࠬ࠹ࡓࠪࡦࡐࠫ࠙ࡓ(SACSIS2008) ⺰ᢥ㓸, pp. 325-332,
2008

140

↥ቇቭㅪ៤⎇ⓥຬ ኪᧄ ⧷ਯᄢⷙᮨⅣႺߦ߅ߌࠆ⠴᡿㓚ࡒ࠼࡞࠙ࠚࠕߩ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬
MPI ࠪࠬ࠹ࡓߦ߅޿ߡታⴕⅣႺ߿ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩ․ᕈߦㆡߒߚ⠴᡿㓚ᯏ⢻ࠍ⥄ᓞ⊛ߦ᭴ᚑߔࠆ⎇ⓥࠍⴕߞߚ‫⃻ޕ‬࿷‫ޔ‬ⅣႺߩᄢⷙᮨൻߦ઻޿‫ޔ‬⠴᡿㓚ᛛⴚߪਇนᰳߣߥߞߡ
޿ࠆ‫ޔߚ߹ޕ‬ⅣႺߩᄢⷙᮨൻߪ೑↪ߐࠇࠆ࠰ࡈ࠻࠙ࠚࠕߩᄢⷙᮨൻ߽⺃⊒ߒ‫ޔ‬⠴᡿㓚ᛛⴚߦ߅޿ߡ㊀ⷐߥ࠴ࠚ࠶ࠢࡐࠗࡦ࠻ࠦࠬ࠻ߩᕆㅦߥჇᄢࠍ߽ߚࠄߒߡ޿ࠆ‫ޕ‬ᄢⷙᮨⅣႺߩฦ
࡝࠰࡯ࠬߩ᡿㓚₸‫ߩ߳ࠫ࡯࡟࠻ࠬޔ‬㧵㧛㧻ㅦᐲ‫ࠨࠫ࡯ࡔࠗࠬ࠮ࡠࡊߩࡦ࡚ࠪ࡯ࠤ࡝ࡊࠕޔ‬ࠗ࠭ࠍ↪޿ߡ࠴ࠚ࠶ࠢࡐࠗࡦ࠻㑆㓒ࠍേ⊛ߦᦨㆡൻߔࠆߎߣߦࠃࠅ‫ޔ‬ਇᔅⷐߥ࠴ࠚ࠶ࠢࡐ
ࠗࡦ࠻ࠦࠬ࠻ߩシᷫࠍน⢻ߦߒߚ‫ޕ‬ߐࠄߦ‫ޔ‬㧾㧭㧵㧰ᛛⴚࠍᔕ↪ߔࠆߎߣߦࠃࠆ࠴ࠚ࠶ࠢࡐࠗࡦ࠻ォㅍᤨ㑆ߩシᷫߦะߌߚ
⠨ኤࠍⴕߞߚ‫ࠍ࠻ࡦࠗࡐࠢ࠶ࠚ࠴ޕ‬ᓥ᧪ߩ᭽ߦࠬ࠻࡟࡯ࠫࠨ࡯ࡃߦ㓸ਛߐߖߕ‫ޔ‬ฦࡁ࡯࠼߇ࡠ࡯ࠞ࡞ߦ଻ሽߒ‫ޔ‬ᄬࠊࠇࠆ࠺࡯࠲ߦኻߔࠆࡄ࡝࠹ࠖࠍ೑↪ߔࠆߎߣߦࠃࠅⶄᢙࡊࡠ࠮
ࠬߩหᤨ࠴ࠚ࠶ࠢࡐࠗࡦ࠻ߦࠃࠆࡀ࠶࠻ࡢ࡯ࠢユマࠍシᷫߢ߈ࠆ‫ޕ‬ട߃ߡ‫ޔ‬MPI ߩ઀᭽╷ቯળ⼏ߢ޽ࠆ MPI Forum ߦෳടߒ‫ޔ‬ᰴᦼ MPI 3.0 ߦታⵝ੍ቯ
ߩ⠴᡿㓚ࠗࡦ࠲࡯ࡈࠚ࡯ࠬߦߟ޿ߡߩ╷ቯ߽ⴕߞߡ޿ࠆ‫ޕ‬‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫‫ޤ‬1.

Hideyuki Jitsumoto, Toshio Endo and Satoshi Matsuoka, “Environmental-Aware
Optimization of MPI Checkpointing Intervals”, In Proceedings of The 10th
International Conference on High-Performance Computing in Asia-Pacific Region(HPCAsia2009), pp285-292, Taiwan, Mar. 20092.

Satoshi Matsuoka, Ikuhei Yamagata, Hideyuki Jitsumoto and Hidemoto Nakada,“Speculative Checkpointing: Exploiting Temporal Affinity of Memory Operations”,
In Proceedings of The 10th International Conference on High-Performance
Computing in Asia-Pacific Region (HPCAsia2009), pp390-396, Taiwan, Mar. 20093.

㆙⮮ᢅᄦ㧘㗵↰ ᓆ㧘᧻ጟ ⡡㧘ਣጊ⋥਽㧘ኪᧄ⧷ਯ, “྾⒳ࡊࡠ࠮࠶ࠨ߆ࠄߥࠆࡋ࠹
ࡠဳࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦ߅ߌࠆ Linpack ࠴ࡘ࡯࠾ࡦࠣ”, ࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦ
ࡦࡇࡘ࡯࠹ࠖࡦࠣߣࠕ࡯ࠠ࠹ࠢ࠴ࡖߩ⹏ଔߦ㑐ߔࠆർᶏ㆏ࡢ࡯࡚ࠢࠪ࠶ࡊ(HOKKE2009), ᖱႎಣℂቇળ⎇ⓥႎ๔, 2009-ARC-182/HPC-119, pp.25-30, 2009 ᐕ
2 ᦬.

4.

Hideyuki Jitsumoto, Toshio Endo, Satoshi Matsuoka, Environmental-aware
optimization of MPI checkpointing intervals. In Proceedings of 2008 IEEE
International Conference on Cluster Computing (CLUSTER2008), pp326-329,
Tsukuba, Sep.-Oct. 2008 (poster)141 ቇⴚ࿖㓙੤ᵹㇱ㐷ᢎ᝼ 㕍ᧁ ዅਯ㧔࿖㓙౒ห⎇ⓥಽ㊁㧕‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬)2)27 ߦࠃࠆᵹ૕⸘▚ߩ㜞ㅦൻ
ᐔᚑ 20 ᐕ 10 ᦬ߦ TSUBAME ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠲ߦዉ౉ߐࠇߚ NVIDIA ߩ Tesla
GPU ࠍ૶ߞߡ‫ޔ‬ቇⴚ⎇ⓥ⋡⊛ߢ㐿⊒ߒߡ޿ࠆᵹ૕ࠦ࡯࠼ߩ㜞ㅦൻࠍ⹜ߺߚ‫ޕ‬GPGPU ߩ㐿⊒ⅣႺߣߒߡ‫ޔ‬NVIDIA ߩ CUDA ࠍ↪޿ߡᵹ૕⸘▚ߩࠞ࡯ࡀ࡞㑐ᢙࠍᦠ߈‫ޔ‬GPU ਄ߢታⴕߔࠆࡊࡠࠣ࡜ࡓࠍ㐿⊒ߒߚ‫⋥ޕ‬੤ᩰሶࠍࡌ࡯ࠬߣߒߚ㜞ᰴ♖ᐲߩ㔌ᢔൻᚻᴺࠍ↪޿ߡ޿ࠆߩߢ‫ޔ‬Ყセ⊛ኈᤃߦ GPU ߩࠞ࡯ࡀ࡞㑐ᢙࠍ૞ᚑߔࠆߎߣ߇ߢ߈ࠆ‫ޕ‬CUDA ߩ block ಽഀߪㅢᏱߩਗ೉⸘▚ߩ㓙ߦ↪޿ࠆ㗔ၞಽഀߣ㘃ૃߒߡ޿ߡ‫ޔ‬block ౝߩᄙᢙߩ thread ߦࠃࠆਗ೉⸘▚ߪ GPU ߩࡑ࡞࠴ࡊࡠ࠮࠶ࠨන૏ߦሽ࿷ߔࠆ 16kB ߩ shared ࡔࡕ࡝ࠍ౒᦭ߢ߈‫ޔ‬Open MP ਗ೉ߩᗵߓߦ૶޿‫ޕ‬ᵹ૕⸘▚ߪ஍ᓸಽᣇ⒟ᑼࠍ㔌ᢔൻߒߡ⸃ߊߩߢ‫ࠬߦ⊛⥸৻ޔ‬࠹ࡦࠪ࡞⸘▚ߣߥࠆ‫ޕ‬㓞ធᩰሶὐߢߩࠬ࠹ࡦࠪ࡞ߩ㊀ߥࠅㇱಽߦኻߒ‫ޔ‬shared ࡔࡕ࡝ࠍࠠࡖ࠶ࠪࡘ⊛ߦ૶߁ߎߣߢࡔࡕ࡝ࠕࠢ࠮ࠬࠍᄢ᏷ߦૐᷫߢ߈ࠆ‫ޕ‬GPU ߩ VRAM ߩࡔࡕ࡝ࡃࡦ࠼᏷߇ 100GB/sec એ਄޽ࠆߎߣߣ‫ޔ‬240 ୘޽ࠆ Streaming Processor ߩṶ▚ᕈ⢻ࠍචಽᒁ߈಴ߔߎߣߢ‫ޔ‬න૕ CPU Core ߢߩᵹ૕⸘▚ߩታⴕߣᲧセߒߡ‫ޔ‬GPU ߢߪᢙ 10 ୚߆
ࠄ 100 ୚એ਄ߩ㜞ㅦൻࠍ㆐ᚑߔࠆߎߣ߇ߢ߈ߚ‫ࠆ޿↪ޕ‬ᢙ୯⸘▚ᚻᴺ߇㜞♖ᐲߦߥࠇ߫ߥ
ࠆ߶ߤ‫ ߚ߹ޔ‬2 ᰴర⸘▚ࠃࠅ 3 ᰴర⸘▚ߩᣇ߇ FLOPS/BYTE ߩ୯߇ᄢ߈ߊߥࠆߚ߼‫ޔ‬GPU
ߩᕈ⢻ࠍᒁ߈಴ߒᤃ޿ߎߣ߇᣿ࠄ߆ߦߥߞߚ‫ޕ‬ᄙ⋧ᵹߩᄢⷙᮨਗ೉⸘▚ᚻᴺߩ㐿⊒ ᶧ૕ߣ᳇૕ߩࠃ߁ߥᄙ⋧ᵹߦኻߔࠆ⸘▚ߣߒߡ‫ޔ‬ᓥ᧪ߩࠃ߁ߥ void ₸ࠍዉ౉ߒߡ᳇૕㧛ᶧ૕ߩᷙว⁁ᘒࠍ⸘▚ߔࠆߩߢߪߥߊ‫࠻࠶࠮࡞ࡌ࡟ޔ‬㑐ᢙߥߤࠍ᳇૕㧛ᶧ૕ߩ⼂೎㑐ᢙߣߒߡዉ౉ߒ‫ޔ‬᳇ᶧ⇇㕙ࠍ᛽಴ߒߡ⸘▚ߔࠆ⸘▚ᚻᴺ߇ᐢ߹ߞߡ޿ࠆ‫ߩ▚⸘ޔߒ߆ߒޕ‬቟ቯᕈߩߚ߼ߦ᳇ᶧ⇇㕙᏷ࠍ 2㨪3 ᩰሶᢙಽߩෘߐߣߒߡ⴫⃻ߔࠆᔅⷐ߇޽ࠆ‫ޕ‬ᵹ૕ㆇേߣߣ߽
ߦ╓ภઃ〒㔌㑐ᢙߩᕈ⾰ࠍᄬ߁ߚ߼‫࠻࠶࠮࡞ࡌ࡟ޔ‬㑐ᢙߩౣೋᦼൻߦߪⓨ㑆 5 ᰴ♖ᐲන⺞ᕈࠬࠠ࡯ࡓߣߒߡ WENO ࠍ↪޿ߡ޿ࠆ‫࠻࠶ࠪ࡝ࡊࡦࠗ࡮ࡒ࠮ޕ‬ᚻᴺߢ㖸ᵄࡕ࡯࠼ࠍ࠳ࡦࡊ
ߐߖࠆᚻᴺ߇ߒ߫ߒ߫↪޿ࠄࠇࠆ߇‫ޔ‬ᵹ૕ߩኒᐲ߇ਇဋ৻ߣߥࠆߚ߼ߦ‫ޔ‬ኒᐲ߇࿶ജ
Poisson ᣇ⒟ᑼߩ divergence ߩౝ஥ߦ౉ࠅㄟ߻‫ޕ‬᳇૕ߣᶧ૕ߢߪኒᐲ߇ 1000 ୚⒟ᐲ⇣ߥࠆߚ߼ߦ Poisson ᣇ⒟ᑼࠍ㔌ᢔൻߒߚⴕ೉ߩ㕖࠯ࡠⷐ⚛ߩᕈ⾰ߪᖡߊߥࠅ‫ⴕ⇹ޔ‬೉⸃ᴺߣ
ߒߡࠢ࡝ࡠࡈㇱಽⓨ㑆ߢߩ㕖ቯᏱ෻ᓳᴺࠍ↪޿ࠆᔅⷐ߇޽ࠆ‫ޕ‬㜞ᰴ♖ᐲߩ⒖ᵹ⸘▚߿࡟ࡌ࡞࠮࠶࠻㑐ᢙߩ⸘▚ߪ㗔ၞಽഀߦࠃࠆㅢᏱߩ MPI ࡜ࠗࡉ࡜࡝ࠍ↪޿ߚਗ೉⸘▚߇น⢻ߢ޽ࠆ߇‫ޔ‬Poisson ࠰࡞ࡃ࡯ߦߟ޿ߡߪ‫ޔ‬㕖ቯᏱ෻ᓳᴺߩ೨ಣℂߩਗ೉ൻ߇໧㗴ߦߥࠅ‫࠶ࡠࡉޔ‬
ࠢኻⷺൻᴺ߿ SSOR ᴺߥߤࠍ↪޿ߡ޿ࠆ‫ޕ‬೨ಣℂߦߟ޿ߡߩ⺖㗴ߪᱷࠆ߇‫ޔ‬ᄢⷙᮨߥ 3 ᰴర࠳ࡓ፣უ໧㗴߿⴫㕙ᒛജࠍ⠨ᘦߒߚᶧṢಽ㔌ߩⶄᢙࡁ࡯࠼ࠍ↪޿ߚਗ೉⸘▚ࠍⴕ߁ߎߣ
߇ߢ߈ߚ‫ޕ‬142㜞♖ᐲ .'5 .CTIG'FF[5KOWNCVKQP ᚻᴺߩ㐿⊒ࡒࠢࡠߥ⃻⽎ࠍ㒰޿ߡ‫ޔ‬ᵹ૕⃻⽎ߩᱴߤߪዋߒᵹㅦ߇㜞ߊߥࠆߣੂᵹߦㆫ⒖ߒߡߒ߹߁‫ޕ‬ੂᵹߩ⸘▚ߪቇⴚ⊛ߦ߽↥ᬺ⊛ߦ߽㊀ⷐߢ޽ࠆ߇‫ߦ⽎⃻ޔ‬฽߹ࠇࠆᦨ߽㜞޿ᵄᢙ߹ߢᱜ⏕ߦ⸘▚ߔࠆ DNS(Direct Numerical Simulation) ߪ㕖⃻ታ⊛ߥⓨ㑆⸃௝ᐲߩ⸘▚ᩰሶࠍᔅⷐߣߔࠆߚ߼‫ޔ‬㕖Ᏹߦ㒢ࠄࠇߚ႐วࠍ㒰޿ߡㆡ↪ߢ߈ߥ޿‫ޕ‬LES(Large Eddy Simulation)ߪ‫▚⸘ޔ‬ᩰሶߢᝒ߃ࠆߎߣߩߢ߈ࠆᄢ߈ߥ᷵᭴ㅧߪᵹ૕ᣇ⒟ᑼࠍᔘታߦ⸃߈‫ޔ‬ᩰሶࠨࠗ࠭
એਅߩዊߐߥ᷵ߦኻߒߡߪ᷵☼ᕈࡕ࠺࡞ࠍዉ౉ߔࠆ⸘▚ᚻᴺߢ޽ࠆ‫ޕ‬ᩰሶࠨࠗ࠭ߢߪᵹ૕
ᣇ⒟ᑼࠍ⸃ߊ㓙ߦ㜞♖ᐲ⸘▚߇ᔅⷐߣߥࠅ‫ߩ⥄⁛ߪߢߎߎޔ‬㜞ᰴ♖ᐲߩ⸘▚ᚻᴺߣߒߡ㐿⊒ߒߡ߈ߚ଻ሽᒻ IDO ᴺࠍㆡ↪ߒߚ‫ੂߚ߹ޕ‬ᵹࡕ࠺࡞ߦ߽᭽‫ߥޘ‬ឭ᩺߇޽ࠅ‫ޔ‬ᐔဋᠲ૞߇
ᔅⷐߥߥ࠳ࠗ࠽ࡒ࠶ࠢ࡮ࠬࡑࠧ࡝ࡦࠬࠠ࡯࡮ࡕ࠺࡞ߢߪߥߊ‫ޔ‬⍍ᤨ୯ߩߺߩ୯ࠍ↪޿ߡ቟ቯߦ⸘▚ߢ߈ࠆࠦࡅ࡯࡟ࡦ࠻᷵᭴ㅧࡕ࠺࡞ࠍዉ౉ߒߚ‫ޕ‬⒖ᵹ㗄ߩ⸘▚ߦߪ᫪⷏Ꮕಽࠬࠠ࡯
ࡓߢߪߥߊ‫ޔ‬4 ᰴ♖ᐲߩ଻ሽᒻ IDO ᴺߩਛᔃ⵬㑆㑐ᢙߩ 1 㓏ᓸଥᢙࠍ↪޿‫ޔ‬Poisson ᣇ⒟ᑼ߽ 4 ᰴ♖ᐲߩ 2 㓏ᓸಽߦၮߠ޿ߚ⸘▚ࠍⴕ޿‫ޔ‬3 Ბ߹ߚߪ 4 Ბ࡞ࡦࠥࠢ࠶࠲ᴺߢᤨ㑆Ⓧಽ
ࠍⴕߞߡ޿ࠆ‫଻ޕ‬ሽᒻ IDO ᴺߪࡑ࡞࠴ࡕ࡯ࡔࡦ࠻ᚻᴺߢ޽ࠆߚ߼‫࠻ࡦࡔ࡯ࡕ࡞ࠣࡦࠪޔ‬ᴺߥߤߣᲧߴࠆߣ‫ޔ‬หߓᓥዻᄌᢙߩ⥄↱ᐲߩᢙߦኻߒߡ⒖ᵹ㗄ߩ૏⋧⺋Ꮕ߇ዊߐߊ⸘▚♖ᐲ߇㜞޿‫ੂ࡞ࡀࡖ࠴ޕ‬ᵹߩ⸘▚ߢߪ‫ޔ‬᫪⷏ࠬࠠ࡯ࡓࠍ↪޿ߚ⚿ᨐࠃࠅ߽ోߡߩੂᵹ⛔⸘㊂ߢࠬࡍࠢ࠻࡞ᴺߩ♖ᐲߦㄭ޿⦟ᅢߥ⸘▚⚿ᨐ߇ᓧࠄࠇߡ޿ࠆ‫ޕ‬㕖⃿ᒻ☸ሶ߆ࠄ᭴ᚑߐࠇࠆ☳૕᜼േߩ⸃ᨆ
ᢳ㕙ἴኂࠪࡒࡘ࡟࡯࡚ࠪࡦߩ㜞♖ᐲൻࠍ⋡ᜰߒߡ⛮⛯ߒߡ⎇ⓥࠍⴕߞߡ޿ࠆ㕖⃿ᒻߩጤ⍹ࡕ࠺࡞ࠍ↪޿ߚ୘೎ⷐ⚛ᴺߩ⸘▚ߦߟ޿ߡ‫ޔ‬ቯ㊂⊛ߥᬌ⸽ߣߒߡ᭽‫ߥޘ‬ᒻ⁁ߩ☸ሶ߆ࠄߥࠆ౞ᩇ፣უታ㛎ߩ⚿ᨐߣᢙ୯⸘▚⚿ᨐߩᲧセࠍⴕߞߚ‫ޕ‬ᢙ୯⸘▚ߢߪ⃿ᒻ☸ሶᢙ୘߆ࠄ
᭴ᚑߐࠇࠆᬦ౞૕ဳ㧔࡜ࠗࠬဳ㧕ߣ࠹࠻࡜ࡐ࠶࠻ဳߩ 2 ⒳㘃ߩ☸ሶࠍᗐቯߒ‫ޔ‬౞ᩇߩࠕࠬ
ࡍࠢ࠻Ყ ǂ㧔ೋᦼߩ㜞ߐ㧛ೋᦼߩඨᓘ㧕ߦኻߒߡ‫ޔ‬፣უᓟߩᐢ߇ࠅඨᓘ߅ࠃ߮㜞ߐ߳ߩଐሽ
ᕈࠍ⺞ߴߚ‫ޕ‬㕖⃿ᒻ☸ሶߩⴣ⓭್ቯ߅ࠃ߮ㆇേߪᓥ᧪ߣห᭽ߦ᭴ᚑߔࠆ⃿ᒻ☸ሶߦ߆߆ࠆ
ജߩ✚๺ߣߒ‫ޔ‬᭴ᚑ☸ሶߪ೰૕ㅪ⚿ߒߡ޿ࠆߣ઒ቯߒ‫ޔ‬㕖⃿ᒻ☸ሶߩ࿁ォߦߪࠢࠝ࡯࠲࠾
ࠝࡦࠍዉ౉ߒߡ޿ࠆ‫ޕ‬ታ㛎ߢߪߐ߹ߑ߹ߥᒻ⁁ߩ☸ሶߦኻߒߡ᷹ቯ߇ߐࠇߡ޿ߡ‫ޔ‬፣უᓟߩᐢ߇ࠅඨᓘ߇ ǂ=1.7 ࠍႺߦኻᢙࠬࠤ࡯࡞ߢ௑߈߇ᄌൻߒߡ޿ߡ‫ߩ⽎⃻ޔ‬௑ะ߇ᄌࠊߞߡ
޿ࠆߎߣ߇ႎ๔ߐࠇߡ޿ࠆ‫৻ޕ‬ᣇ‫ޔ‬ǂ=1 એਅߢߪᄖ஥߆ࠄ፣ࠇࠆᵄ㧔ἴኂߢߪ߇ߌ፣ࠇߦ⋧ᒰߒ‫ޔ‬᳇૕ജቇߢߪᏗ⭯ᵄ㧕߇ਛᔃ߹ߢ೔㆐ߒߥ޿ߩߢ‫ޔ‬፣უᓟߩ㗂ὐߩ㜞ߐߪ৻ቯߣߥߞ
ߡ޿ࠆ‫ޕ‬ᢙ୯⸘▚ߢߪ ǂ=0.49㨪11.0 ߣ޿߁ᐢ▸࿐ߢ 14 ⒳㘃ߩ⸘▚ࠍⴕߞߚ‫ߚ޿↪ޕ‬㕖⃿ᒻ☸ሶߩ୘ᢙߪ 10 ਁ୘㨪ᢙ 10 ਁ୘ߢ޽ࠅ‫ޔ‬2 ᰴ♖ᐲߩᤨ㑆Ⓧಽࠍⴕߞߡ޿ࠆ‫ᤨ▚⸘ޕ‬㑆ࠍ⍴❗ߔࠆߚ߼ߦ‫ޔ‬Open MP ࠍ↪޿ߚਗ೉ൻࠍⴕߞߚ‫ޕ‬ᢙ୯⸘▚ߢߪೋᦼߦ౞ᩇᒻ⁁ߩ☳૕ࠍᡰ߃ߡ޿ࠆ౞╴ᒻ⁁ߩ㓒ოࠍ਄᣹ߔࠆ㧔ᒁ߈ᛮߊ㧕ㅦᐲ߹ߢ৻⥌ߐߖߡ⸘▚ࠍⴕ޿‫ޔ‬ᢙ୯⸘▚⚿ᨐߪᐢ▸࿐ߩ ǂ ߦߟ޿ߡታ㛎ߣ㕖Ᏹߦ⦟ߊ৻⥌ߔࠆ⚿ᨐ߇ᓧࠄࠇߚ‫ޕ‬143‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1)

㕍ᧁዅਯ: ਗ೉⸘▚ᛛⴚߩᦨᣂേะ ʊ ࠬࡄࠦࡦߣᵹ૕ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ ʊ, ⥄േゞᛛ
ⴚ , Vol.62, No.5, pp.27-33 (2008)2)㕍ᧁዅਯ, ੹੗㓁੺: ଻ሽᒻ IDO㧔ዪᚲ⵬㑆ᓸಽࠝࡍ࡟࡯࠲㧕ᴺ, ᔕ↪ᢙℂቇળ⹹‫ޟ‬ᔕ↪ᢙℂ‫ޠ‬,Vol.18, No.2, ጤᵄᦠᐫ, pp.32-45 (2008)

3)

Takayuki Aoki: MULTI-MOMENT EULER SCHEME FOR COMPUTATIONAL FLUID
DYNAMICS, 8th. World Congress on Computational Mechanics (WCCM8) 5th. European
Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008) June
30 – July 5, 2008, Venice, Italy

4)᫪ญ๟ੑ,㕍ᧁዅਯ: ⥄↱⴫㕙ࠍ฽߻☸ሶ⟲-ᵹ૕ㅪᚑ⸃ᨆ, ᣣᧄ⸘▚Ꮏቇળ࡮⸘▚Ꮏቇ⻠Ṷળ⺰ᢥ㓸, Vol.13, ઄บ 2008 ᐕ 5 ᦬ 19 ᣣ, pp.799-802 (2008)5)ዊᎹ ᘢ, 㕍ᧁዅਯ: GPU ࠍ↪޿ߚ CIP ᴺߦࠃࠆࡊ࡜࠭ࡑ 2 ᵹ૕ਇ቟ቯᕈߩ㜞ㅦࠪࡒࡘ࡟࡯
࡚ࠪࡦ, ᣣᧄ⸘▚Ꮏቇળ࡮⸘▚Ꮏቇ⻠Ṷળ⺰ᢥ㓸, Vol.13, ઄บ 2008 ᐕ 5 ᦬ 19 ᣣ, pp.837-840(2008)

6)

ዊᎹᘢ, 㕍ᧁዅਯ: CUDA ߦࠃࠆቯᏱ෻ᓳ Poisson ࡌࡦ࠴ࡑ࡯ࠢߩ㜞ㅦൻ, ᖱႎಣℂቇળ╙
115 ࿁ HPC ⎇ⓥળ, ᧲੩ 2008 ᐕ 5 ᦬ 24 ᣣ, pp.19-23 (2008)7)㕍ᧁዅਯ, ዊᎹᘢ: CUDA ߦࠃࠆ Poisson ᣇ⒟ᑼߩቯᏱ෻ᓳ⸘▚, นⷞൻᖱႎࠪࡦࡐࠫ࠙ࡓ
2008, Vol.28, Suppl. No.1, Ꮏቇ㒮ᄢቇ࡮᧲੩ 2008 ᐕ 7 ᦬ 24 ᣣ, pp.255-258 (2008)8)

ዊᎹᘢ, 㕍ᧁዅਯ: CUDA ߦࠃࠆࡊ࡜࠭ࡑ 2 ᵹ૕ਇ቟ቯᕈ⸘▚ߩടㅦ, นⷞൻᖱႎࠪࡦࡐ
ࠫ࠙ࡓ 2008, Vol.28, Suppl. No.1,Ꮏቇ㒮ᄢቇ࡮᧲੩ 2008 ᐕ 7 ᦬ 24 ᣣ, pp.287-290 (2008)

9)

᧖ේஜᄥ, 㕍ᧁዅਯ: ቢో Divergence-Free ᒻᑼߩ଻ሽဳࡑ࡞࠴ࡕ࡯ࡔࡦ࠻ᴺ, ᣣᧄᵹ૕ജቇ
ળᐕળ⻠Ṷ੍Ⓜ㓸, pp.76, ␹ᚭᄢቇ 2008 ᐕ 9 ᦬ 4 ᣣ, pp. 76 (2008)10) ਤ ᗲᒾ, 㕍ᧁዅਯ: ౞╴ᒻ⁁ߦ߅ߌࠆ᳇ᶧੑ⋧ᵹᢙ୯⸘▚, ᣣᧄᵹ૕ജቇળᐕળ⻠Ṷ੍Ⓜ
㓸, ␹ᚭᄢቇ 2008 ᐕ 9 ᦬ 4 ᣣ, pp. 87 (2008)11) 㕍ᧁዅਯ, ዊᎹ ᘢ: ࡈ࡞ GPU ߦࠃࠆ CFD ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ, ᣣᧄᯏ᪾ቇળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 20008 ᐕ 11 ᦬ 1 ᣣ, CD-ROM (2008)12) ᧖ේஜᄥ, 㕍ᧁዅਯ: GPU ࠍ↪޿ߚ଻ሽᒻ IDO ᴺߦࠃࠆ㜞♖ᐲ࿶❗ᕈᵹ૕ߩ㜞ㅦ⸘▚, ᣣᧄᯏ᪾ቇળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 2008 ᐕ 11 ᦬ 1 ᣣ, CD-ROM (2008)13) ዊ㊁ኹ⋥ᐘ, 㕍ᧁዅਯ, ዊᨋብల: LES ੂᵹࡕ࠺࡞ࠍ↪޿ߚ଻ሽဳ IDO ᴺߦࠃࠆ࠴ࡖࡀ࡞
ੂᵹ⸘▚, ᣣᧄᯏ᪾ቇળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 2008 ᐕ 11 ᦬ 1 ᣣ,
CD-ROM (2008)14) ዊᨋብల, 㕍ᧁዅਯ:IDO ᴺߦࠃࠆ Passive Scalar ߩੂᵹ⸘▚, ᣣᧄᯏ᪾ቇળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 2008 ᐕ 11 ᦬ 1 ᣣ, CD-ROM (2008)15) ዊᎹᘢ, 㕍ᧁዅਯ: GPU ߦࠃࠆ 3 ᰴర Cahn-Hilliard ᣇ⒟ᑼߦၮߠߊ⋧ಽ㔌⸘▚, ᣣᧄᯏ᪾ቇ
ળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 2008 ᐕ 11 ᦬ 1 ᣣ, CD-ROM (2008)16) Marlon Arce Acuña, Takayuki Aoki: GPU driven acceleration for solving the Shallow Water
Equation, ᣣᧄᯏ᪾ቇળ࡮╙ 21 ࿁⸘▚ജቇ⻠Ṷળ , ℄⃿ᄢቇ࡮ᴒ✽ 2008 ᐕ 11 ᦬ 1 ᣣ,
CD-ROM (2008)17) Kentaro Sano, Takeshi Nishikawa, Takayuki Aoki and Satoru Yamamoto: Evaluating Power andEnergy Consumption of FPGA-based Custom Computing Machines for Scientific Floating-Point
Computation, Proceedings of International Conference on Field-Programmable Technology 2008
(ICFPT'08), December 7th - 10th, 2008, Taipei, Taiwan (CD-ROM)

14418) Tobias Neckel, Miriam Mehl, Hans-Joachim Bungartz, Takayuki Aoki: CFD simulations using an
AMR-like approach in the PDE framework Peano, ╙ 22 ࿁ᢙ୯ᵹ૕ࠪࡦࡐࠫ࠙ࡓ, J9-4, ᧲੩,2008 ᐕ 12 ᦬ 19 ᣣ (CD-ROM)19) ዊ㊁ኹ⋥ᐘ, 㕍ᧁዅਯ, ዊᨋብల: ଻ሽဳ IDO ᴺࠍ↪޿ߚ LES ੂᵹ⸘▚ᚻᴺ, ╙ 22 ࿁ᢙ୯ᵹ૕ࠪࡦࡐࠫ࠙ࡓ, C5-4, ᧲੩, 2008 ᐕ 12 ᦬ 18 ᣣ (CD-ROM)20) 㕍ᧁዅਯ: GPU ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣߦࠃࠆ CFD ߩ⿥㜞ㅦ⸘▚, ╙ 22 ࿁ᢙ୯ᵹ૕ࠪࡦࡐࠫ࠙
ࡓ, ᧲੩, 2008 ᐕ 12 ᦬ 18 ᣣ (CD-ROM)21) 㕍ᧁዅਯ: ࡈ࡞ GPU ߦࠃࠆ CFD ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ, ᖱႎಣℂቇળ࡮․㓸⸥੐‫࡯࡟࡜࠮ࠢࠕޟ‬࠲㧘ౣ߮-ࠬࡄࠦࡦൻߩಾࠅᧅ‫ޠ‬Part 3, ᖱႎಣℂ 2 ᦬ภ, Vol.50 No.2, pp.107-115 (2009)22) Reiji Suda, Takayuki Aoki, Shoichi Hirasawa, Akira Nukada Hiroki Honda Satoshi Matsuoka,
Aspects of GPU for General Purpose High Performance Computing, 14th Asia and South Pacific
Design Automation Conference, pp. 216 – 223, Yokohama, Jan 20, 2009.

145ᢎ᝼ ጊญ ߒߩ߱㧔࿖㓙౒ห⎇ⓥಽ㊁㧕
70'5%1 ਎⇇ᢥൻㆮ↥࿾ၞߩ⛽ᜬน⢻ߥ㐿⊒ߦ߅ߌࠆᖱႎᛛⴚ㧔㧵㧯㨀㧕ߩᔕ↪ߦ㑐ߔࠆ⎇ⓥ)+5 ߩዉ౉ߦߟ޿ߡ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬
UNESCO ਎⇇ᢥൻㆮ↥࠮ࡦ࠲࡯‫ࠬࠝ࡜ޔ‬᡽ᐭ‫᧲ޔ‬੩Ꮏᬺᄢቇߣߩਃ⠪㑆 MOU ߦၮߠ߈‫ޔ‬਎⇇ㆮ↥଻⼔࿾ၞࠍᩭߣߒߚ๟ㄝ࿾ၞࠍ฽߼ߚᜬ⛯น⢻ߥ㐿⊒ࠍଦㅴߔࠆߚ߼ߦ‫ޔ‬ᖱႎㅢାᛛⴚߩዉ౉ߦ㑐ߔࠆ౒ห⎇ⓥࠍታᣉ‫ޕ‬ᄢቇ㒮ℂᎿቇ⎇ⓥ⑼࿖㓙㐿⊒Ꮏቇኾ᡹ߩ㜞↰Ả৻⎇ⓥቶߣߩㅪ៤ߩ߽ߣ‫ޔ‬2006 ᐕߦ⸳┙ߐࠇߚ ICT ࠮ࡦ࠲࡯ㆇ↪ߦ㑐ߔࠆലᨐಽᨆࠍㅢߓ‫ޔ‬
ㆇ↪ᴺߩ⷗⋥ߒࠍㅴ߼ߚ‫ޕ‬หᤨߦ‫⃻ޔ‬࿾᡽ᐭߦ߅ߌࠆ GIS ዉ౉ߦ㑐ߔࠆࡈࠖ࡯ࠫࡆ࡝࠴ࠖ࡯
⺞ᩏ߇ⴕߥࠊࠇߚ‫⚿ޕ‬ᨐߦၮߠ߈↸ਗߺ଻ሽߣ㆑ᴺᑪㅧ‛ߩ⃻⁁ಽᨆ߅ࠃ߮࿾ၞ㐿⊒᡽╷
߳ߩ GIS ᵴ↪ࠍㅴ߼ࠆ౒ห࠴࡯ࡓࠍ✬ᚑߒ‫࠲࡯࠺ޔ‬෼㓸ࠍㅴ߼ߚ‫⃻ޕ‬࿾ੱ᧚⢒ᚑߩ৻Ⅳߣߒߡ‫ޔ‬authorization database ᭴▽ߦ㑐ߔࠆ⃻࿾࠻࡟࡯࠾ࡦࠣࠍⴕ޿‫ޔ‬FOSS ࠍᵴ↪ߒߚ⎇ୃࠍ㓸ਛ⊛ߦታᣉߒߚ‫ޕ‬GIS ዉ౉ߦ㑐ߔࠆ౒ห⎇ⓥߩ⚿ᨐߪ‫ޔ‬World Congress of Heritage
Cities ෸߮‫ޔ‬International Society of City and Regional Planners ߥߤߩ࿖㓙ળ⼏ߦߡ⊒⴫‫ޕ‬ࡕࡦࠧ࡞ߦ߅ߌࠆၮ␆ᢎ⢒ಽ㊁ߢߩ࠾࡯࠭ࠕ࠮ࠬࡔࡦ࠻ߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ࡕࡦࠧ࡞௼࿾ߦ߅ߌࠆ࿾ᣇᢎ⢒ⴕ᡽ቭ߅ࠃ߮ቇᩞ㐳߳ߩ⎇ୃታᣉߦ߅ߌࠆ࠾࡯࠭ࠕ࠮ࠬࡔ
ࡦ࠻ࠍ࿖ㅪᢎ⢒⑼ቇᢥൻᯏ㑐߅ࠃ߮‫࡞ࠧࡦࡕޔ‬ᢎ⢒⑼ቇᛛⴚ⋭ߣ౒หߢታᣉ‫ޕ‬2008 ᐕ 7 ᦬
߆ࠄ 12 ᦬ߦ߆ߌߡ㧔3 ࿁ߩ⃻࿾⸰໧ࠍ฽߻㧕‫ోޔ‬࿖ 6 ⋵‫ޔ‬3 ㇺᏒߦ߅ߌࠆ 250 ᩞࠍኻ⽎ߦ⺞ᩏࠍⴕߥߞߚ‫⺞ޕ‬ᩏኻ⽎ߪਛᄩ࡮࿾ᣇᢎ⢒ⴕ᡽ቭ‫ޔ‬ቇᩞ㐳‫ޔ‬ᢎᏧ‫ߤߥޔ‬ᐢ▸࿐ߦࠊߚࠅో
࿖ߩ 30㧑ߦ޽ߚࠆ⋵ᐡ෸߮ቇᩞࠍ✂⟜‫ޕ‬ᜬ⛯น⢻ߥ⎇ୃߦᔅⷐߥ㆙㓒ᢎ᧚૞ᚑߦ߆߆ࠆࠗ
ࡦࡈ࡜ᢛ஻‫ޔ‬ታᣉน⢻ᕈ‫ޔ‬ല₸ᕈߥߤᄙᣇ㕙߆ࠄߩಽᨆࠍታᣉ‫⺞ޕ‬ᩏᴺ‫⺞ޔ‬ᩏታᣉ‫ޔ‬෸߮࠺࡯࠲ಽᨆߦ㑐ߒߡ⃻࿾ࡢ࡯࡚ࠢࠪ࠶ࡊࠍ㐿௅ߒߚ㧔8 ᦬‫ޔ‬10 ᦬‫ޔ‬12 ᦬㧕‫࡞ࠧࡦࡕޕ‬ᢎ⢒⑼ቇᛛⴚ⋭‫ޔ‬UNESCO ࡕࡦࠧ࡞੐ോᚲ‫࡞ࠧࡦࡕޔ‬࿖┙ᄢቇ‫࡞ࠧࡦࡕޔ‬ᢎ⢒ᄢቇ‫⃻߮ࠃ߅ޔ‬࿾ NGO࡮Mongolia Education Alliance ߩઍ⴫߇ࡢ࡯࡚ࠢࠪ࠶ࡊ෸߮⃻࿾⺞ᩏߦෳട‫ޕ‬หᤨㅢ⸶ࠍ੺ߒߡࡢ࡯࡚ࠢࠪ࠶ࡊߪታᣉߐࠇߚ‫⺞ޕ‬ᩏ⚿ᨐߪ‫ޔ‬UNESCO e-publication ߣߒߡ UNESCO Portal ߦ౏⴫‫ޕ‬Comparative and International Educational Society㧔☨࿖࡮࠴ࡖ࡯࡞ࠬ࠻ࡦ㧕ߦߡࡕࡦࠧ࡞᡽ᐭߣ౒ห⊒⴫‫੹ޕ‬ᓟ‫⺞ᧄޔ‬ᩏ⚿ᨐߦၮߠ߈‫ޔ‬࿖㓙⎇ୃࡊࡠࠣ࡜ࡓߩ᭴▽‫ߩࡓ࡜ࠣࡠࡊୃ⎇ޔ‬ታᣉ߇ⴕߥࠊࠇࠆ੍ቯ‫ޕ‬




146

ࠤ࡯ࠬࡔ࠰࠶࠼ࠍ↪޿ߚ࿖㓙㐿⊒ࡊࡠࠫࠚࠢ࠻ᢎ᧚㐿⊒‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬☨࿖䈱ኾ㐷ᄢቇ㒮䉕ਛᔃ䈮䇮䊎䉳䊈䉴䊶౏౒᡽╷䈱ੱ᧚⢒ᚑᚻᴺ䈫䈚䈩ᵴ↪䈘䉏䈩䈇䉎䉬䊷䉴䊜䉸䉾䊄䈱࿖㓙㐿⊒ಽ㊁䈮䈍䈔䉎ᔕ↪䈍䉋䈶ᢎ᧚㐿⊒䈮ᓥ੐䇯࿖㓙㐿⊒䈱ฦኾ㐷ಽ㊁䉕ઍ⴫䈜䉎⎇ⓥ⠪䈫౒䈮ᢎ᧚㐿⊒䉼䊷䊛䉕ᒻᚑ䈚䇮ᣣᧄ䈱㜞╬ᢎ⢒ᯏ㑐䇮㐿⊒ኾ㐷ᯏ㑐䈮ㆡᔕ䈚䈢ᢎ᧚૞ᚑ䈮ข䉍⚵䉖䈣䇯੹ᐕᐲ䈲䇮ౕ૕଀䈫䈚䈩䇮䉴䊥䊤䊮䉦䇮䊝䊮䉯䊦䈭䈬䈮ട䈋䇮⎇ⓥදജ
⠪䈮䉋䉍䇮ਛ࿖䇮䊐䉞䊥䊏䊮䇮ਛ᧲䈮䈍䈔䉎⃻࿾⺞ᩏ䈮ၮ䈨䈒㐿⊒੐଀䉕૞ᚑ䇯․䈮䇮ᢎ⢒㐿⊒䇮ㄘ᧛㐿⊒䇮଻ஜⴡ↢㐿⊒䇮ᴪጯ㐿⊒ಽ㊁䈮䈍䈔䉎໧㗴ὐ䈮ὶὐ䉕䈅䈩䈢ઁ䇮⚻ᷣ䈫㐿⊒䇮ᐔ๺䈫㐿⊒䇮ⅣႺ䈫㐿⊒䈱䉦䊁䉯䊥䊷䈪䉬䊷䉴䉕᭴▽䈚䇮ታ〣⊛䈭ᢎ᧚㐿⊒䉕ⴕ䈭䈦䈢䇯⃻࿷䇮࿖㓙 㐿 ⊒ Ꮏ ቇ ኾ ᡹ 䈱 ᄢ ቇ 㒮 ⑼ ⋡ “International Development Project with Case
Methods” 䈮䈩ᄢቇ㒮䈱⻠ᐳ䈮ᵴ↪䇯੹ᐕਛ䈱໡ᬺ಴

䉕⋡ᜰ䈜䇯


‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬1.

Yamaguchi, S., Onodera J., Baterdene, R., and Khishi, O., “Training Needs Assessment for School Principals in
Mongolia: Preliminary Findings”, Conference Proceedings, CD-Rom, 53rd Annual Conference on Comparativeand International Education Society, Charleston, USA (March 2009).

2.

Yamaguchi, S., “Application of distance learning materials in rural Mongolia”, Conference Proceedings,
CD-Rom, 53rd Annual Conference on Comparative and International Education Society, Charleston, USA(March 2009).

3.

Otgonsuren, L., Yamaguchi, S., Narantuya, J., et.al, “Needs Assessment for School Principals in Mongolia”,
Survey Report, submitted to UNESCO, Beijing, pp.1-111, (March 2009)4.

Yamaguchi, S., “Interpretation of quantitative data and qualitative data in the context of rural Mongolia: Caseof application of ICT to promote basic education”, presented at the Mongolian Academic Forum, Ulaanbaatar,
Mongolia (December 2008)5.

ጊญߒߩ߱‫ࠆߌ߅ߦࠬࠝ࡜ޟޔ‬ᢥൻㆮ↥࿾ၞ㐿⊒ߣੱ᧚⢒ᚑ‫౐╙ޔޠ‬࿁᧲㨯ਛᄩࠕࠫࠕᱧผㇺᏒળ⼏㧦᧲㨯ਛᄩࠕࠫࠕߩᱧผㆮ↥ߣⅣႺ଻ోࠍ߼ߋࠆ᡽╷ࡈࠜ࡯࡜ࡓߦߡ⊒⴫ (November 2008)

6.

Takada, J., Yamaguchi, S., Leong, C., “Geographical Information System (GIS) and Regional Development*
Potential Problems and Feasible Solutions”, The Japan Society for International Development, 19th Annual
Conference Proceedings, p.350-353, Hiroshima, (November 2008)

7.

Yamaguchi, S., Leong, C., and Takada, J., “Impact of ICT Introduction in World Heritage Site”, presented at
the World Organization of United Cities and Local Government: Regional Section of Euro-Asia, Solo City,
Indonesia, (October 2008)

8.

Yamaguchi, S., “Impact of International Cooperation of Universities in Asia: Cases of Joint Degree Courses”,
presented at the Mongolian Academic Forum, Ulaanbaatar, Mongolia (October 2009)

147

9.

Leong, Ceelia, Yamaguchi, and S., Takada, J., “Assessment of Local Condition of GIS Use in Sustainable
Development: A Case of Luang Prabang, Lao PDR”, 44th ISOCaRP Congress, Conference Proceedings,
CD-Rom, Dalian, China, (September2008)10.

Yamaguchi, S., “Methodologies for needs assessment in Mongolia: Strategies and Options”, presented at
National Seminar for the Ministry of Education, Culture, Science and Technology, Ulaanbaatar, Mongolia,(August 2008)11.

ጊญߒߩ߱‫࡞ࠧࡦࡕޟޔ‬௼࿾ߦ߅ߌࠆ㆙㓒ᢎ⢒ᢎ᧚ߩዉ౉ߦ㑐ߔࠆ⠨ኤ㧦࿖ㅪੱ㑆቟ో଻㓚ၮ㊄ࡊࡠࠫࠚࠢ࠻߆ࠄߩᢎ⸠‫ޠ‬ᣣᧄᲧセᢎ⢒ቇળ ╙ 44 ࿁ᄢળ⊒⴫⺰ᢥ෼㍳ p.322-323 (June 2008)

12.

Yamaguchi, S., “Internationalization Policy of Japanese Universities: Case of Tokyo Institute of Technology”,
presented at JSPS-NSF Symposium, Washington D.C., June 2008.




148

ಎᢎ᝼ 2+2#6210)5#6*+4#210)㧔࿖㓙੤ᵹಽ㊁㧕․⇣ὐಣℂ⸘▚ࠕ࡝ࠧ࡝࠭ࡓߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᧄ⎇ⓥߢߪ㑐ญ࡮ᄥ↰ࡕ࠺࡞(1977)ߩውࠅὐߦ߅ߌࠆࡔ࠲ࠬ࠲ࡆ࡝࠹ࠖ࡯ߩ㗔ၞࠍቯᑼൻߒ‫ޔ‬ਥ߭ߕߺჇಽⓨ㑆ߦ⴫⃻ߒߚ‫ޕ‬૕Ⓧ߭ߕߺჇಽ৻ቯᐔ㕙ߦ߅޿ߡ‫ߩߎޔ‬㗔ၞߪᬦ౞ߦ࿐߹ࠇߡ޿ࠆߎߣ߇⏕⹺ߢ߈ߚ‫ޕ‬ឭ᩺ߐࠇߚ࠹ࡦ࠰࡞ォ឵ࠍ૶↪ߔࠆߎߣߦࠃߞߡ‫ޔ‬㒠ફᦛ㕙਄ߩ㒠ફᔕജ‫ߩ࡯ࠖ࠹࡝ࡆ࠲ࠬ࠲ࡔޔ‬㗔ၞࠍㆡಾߦ⴫⃻ߔࠆߎߣ߇ߢ߈ߚ‫ࠬ࠲ࡔޕ‬࠲ࡆ࡝࠹ࠖ࡯ߩ㗔ၞߩਛᔃߪ৻ᰴరߩ㕒ᱛ߭ߕߺ⁁ᘒߢ޽ࠆߣ⠨߃ࠄࠇࠆ‫ߚ߹ޕ‬㧘㑐ญ࡮ᄥ↰ࡕ࠺࡞߅ࠃ߮ࠝ࡝ࠫ࠽࡞ࠞࡓࠢ࡟࡯ࡕ࠺࡞ߩ․⇣ὐߦ߅ߌࠆ⽶⩄್ቯᴺࠍឭ᩺ߒߚ‫ޕ‬☸⁁૕ജቇߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬☸૕߿⍾⾰࿯ߩਛߢ߽᭴ㅧ‛ߩࠃ߁ߥࠕ࡯࠴ࠍᒻᚑߢ߈߹ߔ‫⎇ᧄޕ‬ⓥߢߪ㧘ࠨࠗࡠߩᐩ
㕙߿஥㕙ߦ૞↪ߔࠆ⾂⬿☸૕ߩ⥄㊀㧘⍾ጊᐩ㕙ߢߩ࿶ജಽᏓߦ㑐ߒ㧘ᢙ୯⸘▚ࠍ⎇ⓥߒߚ‫ޕ‬ᔕജࠍฃߌᜬߟࠕ࡯࠴߇ᒻᚑߐࠇࠆߎߣߦࠃߞߡ㧘࿯࿶ߦࠕ࡯࠴૞↪ߦࠃࠆૐᷫࠍ⠨ᘦߒߚ⸘▚ᑼࠍዉ಴ߢ߈ߚ‫⚿ߩߘޕ‬ᨐߩ৻ߟߪ㧘࿾ਛೋᦼᔕജߩ⸳ቯ߿࿾ਛ᭴ㅧ‛ߩ⸳⸘ߦ↪
޿ࠄࠇࠆ㕒ᱛ࿯࿶ଥᢙᑼߢ޽ࠆ‫ߒ߆ߒޕ‬㧘☸ሶ߆ࠄߢ߈ߚᒻᚑㆊ⒟ߦࠃߞߡ㧘ᔕജ߇ዪᚲ
⊛ߦಽᏓߐࠇࠆߚ߼㧘ጁᱧଐሽᕈࠍ␜ߒߚ᭴ᚑᑼߩ㐿⊒߇ᔅⷐߛߣ⠨߃ࠄࠇࠆ‫ޕ‬➅㄰ߒ႟ᕈ᭴ᚑᑼߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬࿯ߩ➅㄰ߒ᜼േߩᔕജ࡮߭ߕߺ㑐ଥࠍ⴫⷗ߔࠆߚ߼ߦ㧘Mroz(1967)ߥࠄ߮ߦ Iwan(1967)ߦࠃߞߡឭ᩺ߐࠇߚ⒖േ⎬ൻೣߦᓥ߁ⶄᢙߩ㒠ફᦛ㕙ࠍ᦭ߔࠆᄙᦛ㕙ࡕ࠺࡞߇ᔅⷐߣߥࠆ‫ޕ‬࠴ࡘ࡜ࡠࡦࠦࡦᄢቇߣߩ౒ห⎇ⓥߢ㧘ᄙᦛ㕙ࡕ࠺࡞߆ࠄ᜛ᒛߐࠇߚ Hyperplasticity ߩℂ⺰㧔Houlsby & Puzrin,2000㧕ߦၮߠ޿ߡ㧘৻ቯߩ႟ᕈଥᢙࠍ᦭ߔࠆ᦭㒢୘ߩ㒠ફዪ㕙ࠍᛒࠊߥߊ㧘Ṗࠄ߆ߥ႟ᕈଥᢙߩᄌൻࠍ⴫⷗ߔࠆࠃ߁ߦዷ㐿ߐࠇߚ‫⎇ᧄޕ‬ⓥߢߪ㧘ᄙᦛ㕙ࡕ࠺࡞ࠍㆡ↪ߒ㧘ୃᱜࠞࡓࠢ࡟࡯ࡕ࠺࡞ߩ᭴ᚑᑼߩㅴዷߦߟ޿ߡ⎇ⓥࠍⴕ޿㧘᦭㒢ⷐ⚛ᴺࠍ↪޿ߡ㐿⊒ࠍⴕߞߡ޿ࠆ‫ޕ‬࿾㔡ߦࠃࠆᵤᵄࠪࡒࡘ࡟࡯࡚ࠪࡦߦ㑐ߔࠆ⎇ⓥ
‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ᧄ⎇ⓥߪ㧘GSIC ߩ㕍ᧁᢎ᝼ߩදജࠍᓧࠆߣߣ߽ߦ㧘࠲ࠗ࿖࠴ࡘ࡜ࡠࡦࠦ࡯ࡦᄢቇᎿቇ
ㇱߣߩㅪ៤ߩਅ㧘TSUBAME ࠍ೑↪ߒߚ࿖㓙දห⎇ⓥߣߒ‫ޔ‬ਗ೉ಣℂᛛⴚࠍ↪޿ߚ࿾㔡ߦࠃࠆᵤᵄߩࠪࡒࡘ࡟࡯࡚ࠪࡦ⎇ⓥࠍታᣉߒߡ޿ࠆ‫ޕ‬TSUBAME ߅ࠃ߮࠲ࠗ࿖ౝࠣ࡝࠶࠼ࠍ
ᵴ↪ߒ㧘ᵤᵄἴኂ੍᷹⸘▚ߩᤨ㑆ࠍ⍴❗ߐߖࠆߚ߼㧘ࡊࡠࠣ࡜ࡓࠍ㜞ᐲൻߒߚ‫⎇ߩߘޕ‬ⓥᚑᨐߪ࠲ࠗ࿖ኅἴኂ⼊ႎ࠮ࡦ࠲࡯㧔National Disaster Warning Center㧕߆ࠄᵈ⋡ࠍฃߌ㧘੹ᓟ࠲ࠗߩᵤᵄ⼊ႎࠪࠬ࠹ࡓ㐿⊒ࠍㅴ߼ߡ޿ߊ‫ޕ‬149

‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫╬‫ޤ‬

1)

2)
3)

4)
5)

6)

7)

8)

9)

10)

11)

12)
13)

14)

15)
16)

17)

㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪟㫆㫎㩷㪺㪸㫅㩷㫎㪼㩷㪻㪼㫊㪺㫉㫀㪹㪼㩷㫊㫋㫉㪸㫀㫅㩷㪺㪿㪸㫅㪾㪼㫊㩷㪻㫌㪼㩷㫋㫆㩷㫀㫊㫆㫋㫉㫆㫇㫀㪺㩷㪺㫆㫅㫊㫆㫃㫀㪻㪸㫋㫀㫆㫅㩷㪹㫐㩷㫌㫊㫀㫅㪾㩷㫋㪿㪼㩷㫆㫉㫀㪾㫀㫅㪸㫃㩷㪺㪸㫄㩷㪺㫃㪸㫐㩷㫄㫆㪻㪼㫃㪖㪃㩷㪫㪿㪼㩷㪈㪊㫋㪿㩷㪥㪸㫋㫀㫆㫅㪸㫃㩷㪚㫆㫅㫍㪼㫅㫋㫀㫆㫅㩷㫆㫅㩷㪚㫀㫍㫀㫃㩷㪜㫅㪾㫀㫅㪼㪼㫉㫀㫅㪾㩷㫆㪽㩷㪫㪿㪸㫀㫃㪸㫅㪻㪃㩷㪞㪫㪜㩷㫇㫇㪅㩷㪐㪍㪄㪈㪇㪈㪃㩷㪧㪸㫋㫋㪸㫐㪸㪃㩷㪤㪸㫐㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪫㪅㩷㪫㪸㫂㪼㫐㪸㫄㪸㪃㩷㪟㪅㩷㪦㪿㫋㪸㩷㪸㫅㪻㩷㪘㪅㩷㪠㫀㫑㫌㫂㪸㪃㩷㪛㫆㫄㪸㫀㫅㩷㫆㪽㩷㫄㪼㫋㪸㫊㫋㪸㪹㫀㫃㫀㫋㫐㩷㪸㫋㩷㫋㪿㪼㩷㪺㫆㫉㫅㪼㫉㩷㫆㪽㩷㫋㪿㪼㩷㪪㪼㫂㫀㪾㫌㪺㪿㫀㪄㪦㪿㫋㪸㩷㫄㫆㪻㪼㫃㪃㩷 ╙㪌㪎࿁ℂ⺰ᔕ↪ജቇ⻠Ṷળ㪃㩷㪊㪌㪌㪄㪊㪌㪍㪃㩷 ᧲੩㪃㩷㪉㪇㪇㪏ᐕ㪍᦬㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪢㪅㩷㪥㫀㫊㪿㫀㫅㪸㪃㩷㪟㪅㩷㪘㫂㫀㫋㪸㪃㩷㪫㪿㪼㩷㫋㫉㫀㪸㫃㩷㪻㫀㫊㫋㪸㫅㫋㩷㪡㪸㫇㪸㫅㪼㫊㪼㩷㪺㫆㫌㫉㫊㪼㩷㪹㪼㫋㫎㪼㪼㫅㩷㪫㫆㫂㫐㫆㩷㪠㫅㫊㫋㫀㫋㫌㫋㪼㩷㫆㪽㩷㪫㪼㪺㪿㫅㫆㫃㫆㪾㫐㩷㪸㫅㪻㩷㪮㪸㫃㪸㫀㫃㪸㫂㩷㪬㫅㫀㫍㪼㫉㫊㫀㫋㫐㪃㩷㪥㪜㪚㪫㪜㪚㩷㪫㪼㪺㪿㫅㫀㪺㪸㫃㩷㪡㫆㫌㫉㫅㪸㫃㩷㪭㫆㫃㪅㩷㪏㪃㩷㪥㫆㪅㩷㪈㪐㪃㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪪㪅㪦㪿㫅㫆㪃㩷㪘㪅㩷㪠㫀㫑㫌㫂㪸㪃㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㫅㪸㫃㫐㫊㫀㫊㩷㫆㪽㩷㪺㫆㪼㪽㪽㫀㪺㫀㪼㫅㫋㩷㫆㪽㩷㪼㪸㫉㫋㪿㩷㫇㫉㪼㫊㫊㫌㫉㪼㩷㪸㫋㩷㫉㪼㫊㫋㪃㩷㪉㪍㪌㪄㪉㪍㪍㪃㩷 ╙㪋㪊࿁࿾⋚Ꮏቇ⎇ⓥ⊒⴫ળ䇮ᐢፉ㪃㩷㪉㪇㪇㪏ᐕ㪎᦬㩷㪪㪅㩷㪟㪼㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪢㪅㩷㪦㪿㫂㫌㪹㫆㪃㩷㪪㪅㩷㪰㫆㫂㫆㫋㪸㪃㩷㪤㪅㩷㪫㪸㫂㪼㫄㫆㫋㫆㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㫇㫇㪸㫉㪼㫅㫋㩷㪺̉㪄㫀㫅㫋㪼㫉㪺㪼㫇㫋㩷㫀㫅㪻㫌㪺㪼㪻㩷㪹㫐㩷㪺㪸㫇㫀㫃㫃㪸㫉㫐㩷㪸㪺㫋㫀㫆㫅㪃㩷㪉㪌㪌㪄㪉㪌㪍㪃㩷 ╙㪋㪊࿁࿾⋚Ꮏቇ⎇ⓥ⊒⴫ળ㪃㩷 ᐢፉ㪃㩷㪉㪇㪇㪏ᐕ㪎᦬㩷ᐔ↰᣽ผ䇮┻ጊᥓ⧷䇮䊏䊌䉾䊃䊘䊮䉰䊷䊶䊁䉞䊤䊘䊮䇮㘵Ⴆᢕ䇮ᄥ↰⑲᮸䇮㑐ญ䊶ᄥ↰䊝䊂䊦䈱․⇣ὐ䈮䈍䈔䉎⽶⩄್ቯᴺ䇮㪉㪏㪐㪄㪉㪐㪇㪃㩷 ╙㪋㪊࿁࿾⋚Ꮏቇ⎇ⓥ⊒⴫ળ㪃㩷 ᐢፉ㪃㩷㪉㪇㪇㪏ᐕ㪎᦬㩷㕍ᧁቁᙗ䇮ᄢ㊁ㅴᄥ㇢䇮┻ጊᥓ⧷䇮䊏䊌䉾䊃䊘䊮䉰䊷䊶䊁䉞䊤䊘䊮䇮ᄥ↰⑲᮸䇮ኒᐲ䈱⋧㆑䉕⠨ᘦ䈚䈢⍾䈱᭴ᚑ䊝䊂䊦䈫䈠䈱䊌䊤䊜䊷䉺䈱᳿ቯᴺ䇮㪊㪐㪎㪄㪊㪐㪏㪃㩷 ╙㪋㪊࿁࿾⋚Ꮏቇ⎇ⓥ⊒
⴫ળ㪃㩷 ᐢፉ㪃㩷㪉㪇㪇㪏ᐕ㪎᦬㩷㪤㪅㩷㪟㪅㩷㪢㪿㫆㫊㫉㪸㫍㫀㪃㩷㪘㪅㩷㪤㪸㫁㪻㫀㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪚㫉㫀㫋㫀㪺㪸㫃㩷㫇㫉㪼㫊㫊㫌㫉㪼㩷㫇㫉㪼㪻㫀㪺㫋㫀㫆㫅㩷㫀㫅㩷㫉㫆㪺㫂㩷㪾㫉㫆㫌㫋㫀㫅㪾㩷㪹㫐㩷㫌㫊㫀㫅㪾㩷㫋㪿㪼㩷㪽㫉㪸㪺㫋㫌㫉㪼㩷㫄㪼㪺㪿㪸㫅㫀㪺㫊㩷㫇㫉㫀㫅㪺㫀㫇㫃㪼㫊㪃㩷㪋㪏㪊㪄㪋㪏㪋㪃㩷 ᐔᚑ㪉㪇ᐕᐲ࿯ᧁቇળో࿖
ᄢળ㪃㩷 ઄บ㪃㩷㪉㪇㪇㪏ᐕ㪐᦬㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪟㪅㩷㪪㫆㫂㪹㫀㫃㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㫅㪸㫃㫐㫊㫀㫊㩷㫆㪽㩷㫊㫋㫉㪼㫊㫊㪼㫊㩷㫀㫅㩷㫎㪼㪻㪾㪼㪄㫊㪿㪸㫇㪼㪻㩷㪾㫉㪸㫅㫌㫃㪸㫉㩷㫄㫆㫌㫅㪻㪃㩷㪈㪇㪐㪄㪈㪈㪉㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㪇㫋㪿㩷㪡㪪㪚㪜㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪪㫌㫄㫄㪼㫉㩷㪪㫐㫄㫇㫆㫊㫀㫌㫄㪃㩷㪫㫆㫂㫐㫆㪃㩷㪪㪼㫇㫋㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷 㩷㪛㪅㩷㪘㫇㫉㫀㪸㪻㫀㪃㩷㪪㪅㩷㪣㫀㫂㫀㫋㫃㪼㫉㫊㫌㪸㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪟㫐㫇㪼㫉㫇㫃㪸㫊㫋㫀㪺㫀㫋㫐㩷㫄㫆㪻㪼㫃㫃㫀㫅㪾㩷㫆㪽㩷㫅㫆㫉㫄㪸㫃㫃㫐㩷㪺㫆㫅㫊㫆㫃㫀㪻㪸㫋㪼㪻㩷㪺㫃㪸㫐㫊㩷㫀㫅㩷㫊㫀㫄㫇㫃㪼㩷㫊㪿㪼㪸㫉㪃㩷㪈㪇㪈㪄㪈㪇㪋㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㪇㫋㪿㩷㪡㪪㪚㪜㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪪㫌㫄㫄㪼㫉㩷㪪㫐㫄㫇㫆㫊㫀㫌㫄㪃㩷㪫㫆㫂㫐㫆㪃㩷㪪㪼㫇㫋㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪤㪅㩷㪟㪅㩷㪢㪿㫆㫊㫉㪸㫍㫀㪃㩷㪘㪅㩷㪤㪸㫁㪻㫀㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㩷㪽㫉㪸㪺㫋㫌㫉㪼㩷㫄㪼㪺㪿㪸㫅㫀㪺㫊㩷㪸㫇㫇㫉㫆㪸㪺㪿㩷㪽㫆㫉㩷㪿㫐㪻㫉㪸㫌㫃㫀㪺㩷㪽㫉㪸㪺㫋㫌㫉㫀㫅㪾㩷㫀㫅㩷㫊㫀㫋㫌㩷㫊㫋㫉㪼㫊㫊㩷㫄㪼㪸㫊㫌㫉㪼㫄㪼㫅㫋㫊㪃㩷㪈㪌㪊㪄㪈㪌㪍㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㪇㫋㪿㩷㪡㪪㪚㪜㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪪㫌㫄㫄㪼㫉㩷㪪㫐㫄㫇㫆㫊㫀㫌㫄㪃㩷㪫㫆㫂㫐㫆㪃㩷㪪㪼㫇㫋㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪪㪅㩷㪟㪼㫅㪾㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪧㫃㪸㫊㫋㫀㪺㫀㫋㫐㩷㪸㫅㪸㫃㫐㫊㫀㫊㩷㫆㪽㩷㪾㫉㪸㫅㫌㫃㪸㫉㩷㫄㪼㪻㫀㪸㩷㫉㪼㫇㫆㫊㪼㪻㩷㫀㫅㩷㫎㪼㪻㪾㪼㪄㫊㪿㪸㫇㪼㪻㩷㪿㪼㪸㫇㪃㩷㪊㪈㪐㪄㪊㪉㪋㪃㩷 ╙䋵࿁࿾⋚Ꮏቇળ㑐᧲ᡰㇱ⊒⴫ળ㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㪃㩷 㩷㪛㪅㩷㪘㫇㫉㫀㪸㪻㫀㪃㩷㪪㪅㩷㪣㫀㫂㫀㫋㫃㪼㫉㫊㫌㪸㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㫉㫋㫀㪽㫀㪺㫀㪸㫃㩷㫅㪼㫌㫉㪸㫃㩷㫅㪼㫋㫎㫆㫉㫂㫊㪄㪹㪸㫊㪼㪻㩷㪸㫋㫋㪼㫅㫌㪸㫋㫀㫆㫅㩷㪽㫌㫅㪺㫋㫀㫆㫅㩷㪽㫆㫉㩷㫊㫌㪹㪻㫌㪺㫋㫀㫆㫅㩷㫑㫆㫅㪼㩷㪼㪸㫉㫋㪿㫈㫌㪸㫂㪼㪃㩷㪊㪋㪉㪄㪊㪋㪎㪃㩷 ╙䋵࿁࿾⋚Ꮏቇળ㑐᧲ᡰㇱ⊒⴫ળ㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪪㪅㩷㪟㪼㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪡㪸㫂㫐̉㫊㩷㫀㫅㪺㫆㫅㫊㫀㫊㫋㪼㫅㫋㩷㪸㫊㫊㫌㫄㫇㫋㫀㫆㫅㫊㩷㫆㫅㩷㫊㫋㫉㪼㫊㫊㩷㪸㫅㪸㫃㫐㫊㪼㫊㩷㫀㫅㩷㫊㪸㫅㪻㩷㪿㪼㪸㫇㩷㪸㫅㪻㩷㫊㫋㫆㫉㪸㪾㪼㩷㫊㫀㫃㫆㪃㩷㪊㪊㪈㪄㪊㪊㪍㪃㩷 ╙䋵࿁࿾⋚Ꮏቇળ㑐᧲ᡰㇱ⊒⴫ળ㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㊄Ỉિ৻䋬㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷 ┻ጊᥓ⧷䋬ᯌિ਽䋬㘵Ⴆᢕ䋬㒶⸃ᔕജⓍಽᴺ䉕ዉ౉䈚䈢࿾⋚᭴ᚑᑼ䈱ᬌ⸛䋬㪊㪌㪇㪄㪊㪌㪌㪃㩷 ╙䋵࿁࿾⋚Ꮏቇળ㑐᧲ᡰㇱ⊒⴫ળ䋬㩷 㪉㪇㪇㪏ᐕ㪈㪈᦬㩷㪛㪅㩷㪘㫇㫉㫀㪸㪻㫀㪃㩷㪮㪅㩷㪪㪼㫅㪾㪸㫉㪸㪃㩷㪧㪅㩷㪪㫌㫄㫀㪸㫉㫋㪿㪸㩷㪸㫅㪻㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪝㫀㫅㫀㫋㪼㩷㪼㫃㪼㫄㪼㫅㫋㩷㫊㫀㫄㫌㫃㪸㫋㫀㫆㫅㩷㫆㪽㩷㫅㪸㫋㫌㫉㪸㫃㩷㫊㫆㪽㫋㩷㪺㫃㪸㫐㩷㪻㪼㫇㫆㫊㫀㫋㩷㫉㪼㫊㫇㫆㫅㫊㪼㩷㪻㫌㪼㩷㫋㫆㩷㪼㪸㫉㫋㪿㫈㫌㪸㫂㪼㪃㩷㪍㪈㪄㪍㪉㪃㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪪㪅㩷㪟㪼㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪪㫋㫉㪼㫊㫊㩷㪘㫅㪸㫃㫐㫊㫀㫊㩷㫆㪽㩷㪞㫉㪸㫅㫌㫃㪸㫉㩷㪤㪼㪻㫀㪸㩷㪚㫆㫅㪽㫀㫅㪼㪻㩷㫀㫅㩷㪣㫆㫅㪾㩷

150

18)

19)

20)

21)

22)

23)

24)
25)

26)

㪭㪼㫉㫋㫀㪺㪸㫃㩷㪚㫆㫃㫌㫄㫅㪃㩷㪈㪌㪈㪄㪈㪌㪉㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷 㩷㪤㪅㩷㪟㪅㩷㪢㪿㫆㫊㫉㪸㫍㫀㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪠㫅㫋㪼㫉㫇㫉㪼㫋㪸㫋㫀㫆㫅㩷㫆㪽㩷㫇㫉㫆㪺㪼㫊㫊㩷㫆㪽㩷㪢㫆㪄㪺㫆㫅㫊㫆㫃㫀㪻㪸㫋㫀㫆㫅㩷㪹㫐㩷㫉㪸㫅㪻㫆㫄㫀㫑㪼㪻㩷㫀㫅㪿㫆㫄㫆㪾㪼㫅㪼㫆㫌㫊㩷㫊㫋㫉㪸㫀㫅㫊㪃㩷㪈㪌㪊㪄㪈㪌㪋㪃㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷 㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪫㪅㩷㪘㫆㫂㫀㪃㩷㪘㪅㩷㪩㫌㪸㫅㪾㫉㪸㫊㫊㪸㫄㪼㪼㪃㩷㪭㪅㩷㪤㫌㪸㫅㪾㫊㫀㫅㪃㩷㪥㪼㫎㩷㪻㫀㫊㪺㫀㫇㫃㫀㫅㪼㩷㫆㪽㩷㪺㫆㫃㫃㪸㪹㫆㫉㪸㫋㫀㫍㪼㩷㫉㪼㫊㪼㪸㫉㪺㪿㩷㪺㫉㫆㫊㫊㫀㫅㪾㩷㪹㫆㫉㪻㪼㫉㫊㩷㫋㪿㫉㫆㫌㪾㪿㩷㫊㫌㫇㪼㫉㪺㫆㫄㫇㫌㫋㫀㫅㪾㩷㫀㫅㪽㫉㪸㫊㫋㫉㫌㪺㫋㫌㫉㪼㪃㩷㪐㪊㪄㪐㪋㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷 㩷 㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪫㪅㩷㪤㫆㫉㫀㫀㫑㫌㫄㫀㪃㩷㪫㪅㩷㪢㫀㫋㪸㪿㪸㫉㪸㪃㩷㪫㪅㩷㪪㪿㫀㫄㫌㫉㪸㪃㩷㪟㪅㩷㪢㫌㫅㫀㪼㪻㪸㩷㪸㫅㪻㩷㪘㪅㩷㪥㫀㫊㪿㫀㪿㪸㫉㪸㪃㩷㪜㪻㫌㪺㪸㫋㫀㫆㫅㪸㫃㩷㪛㫉㫀㫍㪼㩷㫆㪽㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㩷㫋㫆㫎㪸㫉㪻㩷㪟㫌㫄㪸㫅㩷㪩㪼㫊㫆㫌㫉㪺㪼㫊㩷㪛㪼㫍㪼㫃㫆㫇㫄㪼㫅㫋㩷㫀㫅㩷㪫㪿㪸㫀㫃㪸㫅㪻㪃㩷㪈㪎㪌㪄㪈㪎㪍㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷 㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪢㪅㩷㪟㪸㫊㪿㫀㫄㫆㫋㫆㩷㪸㫅㪻㩷㪥㪅㩷㪦㫋㫊㫌㫂㫀㪃㩷㪦㫌㫋㫃㫆㫆㫂㫊㩷㫆㪽㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㩷㪜㪻㫌㪺㪸㫋㫀㫆㫅㪸㫃㩷㪝㫀㪼㫃㪻㩷㪫㫉㫀㫇㩷㫀㫅㩷㪫㪿㪸㫀㫃㪸㫅㪻㪃㩷㪈㪎㪎㪄㪈㪎㪏㪃㩷㫀㫅㩷㫋㪿㪼㩷㪈㫊㫋㩷㪫㪿㪸㫀㫃㪸㫅㪻㪄㪡㪸㫇㪸㫅㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪘㪺㪸㪻㪼㫄㫀㪺㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪫㫆㫂㫐㫆㩷㪫㪼㪺㪿㪃㩷㪥㫆㫍㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪛㪅㩷㪘㫇㫉㫀㪸㪻㫀㪃㩷㪪㪅㩷㪣㫀㫂㫀㫋㫃㪼㫉㫊㫌㪸㫅㪾㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪥㫌㫄㪼㫉㫀㪺㪸㫃㩷㫀㫄㫇㫃㪼㫄㪼㫅㫋㪸㫋㫀㫆㫅㩷㫆㪽㩷㪿㫐㫇㪼㫉㫇㫃㪸㫊㫋㫀㪺㫀㫋㫐㩷㫅㫆㫅㫃㫀㫅㪼㪸㫉㩷㫂㫀㫅㪼㫄㪸㫋㫀㪺㩷㪿㪸㫉㪻㪼㫅㫀㫅㪾㩷㫄㫆㪻㫀㪽㫀㪼㪻㩷㪚㪸㫄㩷㪺㫃㪸㫐㩷㫄㫆㪻㪼㫃㪃㩷㪋㪊㪍㪄㪋㪊㪐㪃㩷㫀㫅㩷㫋㪿㪼㩷㪉㪈㫊㫋㩷㪢㪢㪚㪥㪥㩷㪪㫐㫄㫇㫆㫊㫀㫌㫄㩷㫆㫅㩷㪚㫀㫍㫀㫃㩷㪜㫅㪾㫀㫅㪼㪼㫉㫀㫅㪾㪃㩷㪪㫀㫅㪾㪸㫇㫆㫉㪼㪃㩷㪦㪺㫋㩷㪉㪇㪇㪏㩷㪪㪅㩷㪣㫀㫂㫀㫋㫃㪼㫉㫊㫌㪸㫅㪾㪅㪃㩷㪛㪅㩷㪘㫇㫉㫀㪸㪻㫀㪃㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪘㫅㩷㪘㫇㫇㫃㫀㪺㪸㫋㫀㫆㫅㩷㫆㪽㩷㪚㫆㫅㫋㫀㫅㫌㫆㫌㫊㩷㪟㫐㫇㪼㫉㫇㫃㪸㫊㫋㫀㪺㫀㫋㫐㩷㪤㫆㪻㪼㫃㩷㫋㫆㩷㫋㪿㪼㩷㪩㪼㫊㫇㫆㫅㫊㪼㩷㫆㪽㩷㪥㫆㫉㫄㪸㫃㫃㫐㩷㪚㫆㫅㫊㫆㫃㫀㪻㪸㫋㪼㪻㩷㪚㫃㪸㫐㩷㫌㫅㪻㪼㫉㩷㪛㫀㫉㪼㪺㫋㩷㪪㫀㫄㫇㫃㪼㩷㪪㪿㪼㪸㫉㪃㩷㪊㪊㪉㪄㪊㪊㪏㪃㩷㫀㫅㩷㪧㫉㫆㪺㪼㪼㪻㫀㫅㪾㩷㫆㪽㩷㫋㪿㪼㩷㪍㫋㪿㩷㪘㫊㫀㪸㫅㩷㪰㫆㫌㫅㪾㩷㪞㪼㫆㫋㪼㪺㪿㫅㫀㪺㪸㫃㩷㪜㫅㪾㫀㫅㪼㪼㫉㫊㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㪃㩷㪠㫅㪻㫀㪸㩷㪠㫅㫊㫋㫀㫋㫌㫋㪼㩷㫆㪽㩷㪪㪺㫀㪼㫅㪺㪼㪃㩷㪙㪸㫅㪾㪸㫃㫆㫉㪼㪃㩷㪠㫅㪻㫀㪸䋬㪛㪼㪺㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪪㪅㩷㪫㪸㪺㪿㫀㪹㪸㫅㪸㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪪㫋㪸㫋㫀㪺㫊㩷㫆㪽㩷㪾㫉㪸㫅㫌㫃㪸㫉㩷㫄㪼㪻㫀㪸㩷㫀㫅㩷㫎㪼㪻㪾㪼㪄㫊㪿㪸㫇㪼㪻㩷㫄㫆㫌㫅㪻㪃㩷㪉㪍㪐㪄㪉㪎㪋㪃㩷㫀㫅㩷㪞㪼㫆㪄㪚㪿㫀㪸㫅㪾㫄㪸㫀㪃㩷㪚㪿㫀㪸㫅㪾㫄㪸㫀㪃㩷㪛㪼㪺㪼㫄㪹㪼㫉㩷㪉㪇㪇㪏㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪪㪅㩷㪟㪼㫅㪾㩷㪸㫅㪻㩷㪟㪅㩷㪦㪿㫋㪸㪃㩷㪪㫋㪸㫋㫀㪺㫊㩷㫆㪽㩷㪾㫉㪸㫅㫌㫃㪸㫉㩷㫄㪼㪻㫀㪸㩷㫀㫅㩷㫎㪼㪻㪾㪼㪄㫊㪿㪸㫇㪼㪻㩷㪿㪼㪸㫇㪃㩷㪥㫆㪑㪞㪜㪦㪄㪎㪃㩷㫀㫅㩷㫋㪿㪼㩷㪍㫋㪿㩷㪩㪼㪾㫀㫆㫅㪸㫃㩷㪪㫐㫄㫇㫆㫊㫀㫌㫄㩷㫆㫅㩷㪠㫅㪽㫉㪸㫊㫋㫉㫌㪺㫋㫌㫉㪼㩷㪛㪼㫍㪼㫃㫆㫇㫄㪼㫅㫋㪃㩷㪙㪸㫅㪾㫂㫆㫂㪃㩷㪡㪸㫅㫌㪸㫉㫐㩷㪉㪇㪇㪐㩷㪫㪅㩷㪧㫀㫇㪸㫋㫇㫆㫅㪾㫊㪸㪃㩷㪫㪅㩷㪫㪸㫂㪼㫐㪸㫄㪸㪃㩷㪟㪅㩷㪦㪿㫋㪸㩷㪸㫅㪻㩷㪘㪅㩷㪠㫀㫑㫌㫂㪸㪃㩷㪦㫅㩷㫋㪿㪼㩷㫍㪼㫉㫋㪼㫏㩷㫊㫀㫅㪾㫌㫃㪸㫉㫀㫋㫐㩷㫆㪽㩷㫋㪿㪼㩷㪪㪼㫂㫀㪾㫌㪺㪿㫀㪄㪦㪿㫋㪸㩷㫄㫆㪻㪼㫃㪃㩷㪫㪿㪼㫆㫉㪼㫋㫀㪺㪸㫃㩷㪸㫅㪻㩷㪘㫇㫇㫃㫀㪼㪻㩷㪤㪼㪺㪿㪸㫅㫀㪺㫊㩷㪡㪸㫇㪸㫅㪃㩷㪭㫆㫃㪅㩷㪌㪎㪃㩷㪏㪐㪄㪐㪋㪃㩷㪪㪺㫀㪼㫅㪺㪼㩷㪚㫆㫌㫅㪺㫀㫃㩷㫆㪽㩷㪡㪸㫇㪸㫅㪃㩷㪝㪼㪹㫉㫌㪸㫉㫐㩷㪉㪇㪇㪐㩷151

․છಎᢎ᝼ ⷏Ꮉ ᱞᔒ㧔࿖㓙౒ห⎇ⓥಽ㊁㧕ᄙ㓏ጀಽᢔᤨೞ⹺⸽ࠣ࡝࠶࠼ࠍ↪޿ߚᔕ↪ࠪࠬ࠹ࡓߩ㐿⊒‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬ࠗࡦ࠲࡯ࡀ࠶࠻਄ߦⶄᢙಽᢔ㈩⟎ߐࠇߚᤨೞ⹺⸽࡙࠾࠶࠻ࠍ↪޿ߡ‫ᤨߩߟ৻ޔ‬ೞ⹺⸽ⷐ᳞ߦኻߒ‫ޔ‬ା㗬ߢ߈ࠆ L ୘ߣ࡜ࡦ࠳ࡓߦㆬࠎߛ M ୘ߩᤨೞ⹺⸽࡙࠾࠶࠻ࠍㆬᛯߒว⸘ K୘ߩ࠲ࠗࡓࠬ࠲ࡦࡊ⊒ⴕࠍⶄᢙ਎ઍ‫ޔ‬G ਎ઍߦᷰߞߡ➅ࠅ㄰ߒߡⴕߊಽᢔᤨೞ⹺⸽ᣇᑼࠍ‫ޔ‬ⶄᢙ㓏ጀߦ᜛ᒛߔࠆߣߣ߽ߦ‫ߩߘޔ‬ಽᢔᤨೞ⹺⸽ࠣ࡝࠶࠼ࠍ↪޿ߡ࠺ࠫ࠲࡞࠺࡯࠲ߣ⚕
ࡌ࡯ࠬߩᖱႎࠍ⚿߮ߟߌᤨೞ⹺⸽ࠍⴕ޿‫ޔ‬ታᬺߩ⃻႐ߦ߅޿ߡታ⸽ታ㛎ࠍⴕ޿ታ↪ൻ⎇ⓥߦขࠅ߆߆ࠇࠆߣߎࠈ߹ߢࠪࠬ࠹ࡓߩຠ⾰ࠍะ਄ߐߖߎߣࠍ⋡ᜰߒߡ޿ࠆ‫⎇ᧄޕ‬ⓥߪᐔᚑ
19 ᐕᐲ߆ࠄ 2 ᐕ㑆ߩ NEDO ᐔᚑ 19 ᐕᐲ↥ᬺᛛⴚ⎇ⓥഥᚑ੐ᬺߦណᛯߐࠇߡ޿ࠆ‫ޕ‬ᧄᐕᐲߩᚑᨐߣߒߡߪ‫ޔ‬1) ᄙ㓏ጀಽᢔᤨೞ⹺⸽࡮⋧੕⋙ᩏᯏ⢻ߩ㐿⊒㧦ᐔᚑ 19 ᐕᐲߦ㐿⊒ߒ‫ޔ‬ᣣᧄ࿖ౝ߅ࠃ߮
☨࿖ Amazon EC2 ߢേ૞ߐߖࡄ࡜ࡔ࡯࠲ᬌ⸽╬ࠍⴕߞߚᄙ㓏ጀߩಽᢔᤨೞ⹺⸽ࠣ࡝࠶࠼
㧔TSA Grid㧕ࡒ࠼࡞࠙ࠚࠕࠍ‫ޔ‬ᤓᐕᐲߩᬌ⸽⚿ᨐࠍ߽ߣߦ໧㗴ὐࠍᡷୃߒߚ‫࠲ࠬࡓࠗ࠲ޕ‬ࡦࡊ⊒ⴕⷐ᳞ߦኻߒᢿ⛯⊛ߦᔕ╵ߒߡᔅⷐߣߥࠆ࠺ࠖࠬࠢࠬࡍ࡯ࠬࠍ▵⚂ߒ‫ޔ‬ᄙ㓏ጀಽᢔᤨೞ⹺⸽ዪߩ᭴▽ߦෳടߔࠆ೑↪⠪ߩᢝዬࠍૐߊߒߚࠅߔࠆᯏ⢻ࠍታⵝߒߚ‫ޕ‬ᄙ㓏ጀಽᢔᤨೞ⹺⸽࡮⋧੕⋙ᩏᯏ⢻ߦߟ޿ߡߩ․⸵ࠍ಴㗿ߒߚ㧔․㗿 2009ï087562㧕‫ޕ‬2) ㆇ↪ᣇ㊎࡮ⷙ⒟ߩᬌ⸛‫ޔ‬ឭ໒㧦ಽᢔᤨೞ⹺⸽ࠣ࡝࠶࠼ߥࠄ߮ߦߘߩㆇ↪ᣇ㊎࡮ⷙ⒟ࠍ
ᬌ⸛ߒߚ‫ޕ‬RFC ╷ቯࠍ⋡ᜰߒߡㆇ↪ᣇ㊎࡮ⷙ⒟࠼࡜ࡈ࠻ߩᬌ⸛ࠍⴕߞߚ‫ޕ‬3) ⚕ᇦ૕ߣߩㅪ៤࡮ታ⸽ታ㛎㧦ᤓᐕᐲߪ⚕ߦ⸥㍳ߐࠇߚ࠺࡯࠲ࠍ࠺ࠫ࠲࡞࠺࡯࠲ߣߒߡ⸥㍳಴᧪ࠆࠪࠬ࠹ࡓߣㅪ៤ߒߡಽᢔᤨೞ⹺⸽ࠣ࡝࠶࠼ߦࠃࠅ࠲ࠗࡓࠬ࠲ࡦࡊઃਈߔࠆࠪࠬ
࠹ࡓࠍ㐿⊒ߒߚ߇‫ᧄޔ‬ᐕᐲߪᬌ⸽‫࠻࡯ࡐ࡟ޔ‬ႎ๔߹ߢ߇ⴕ߃ࠆࠪࠬ࠹ࡓࠍ㐿⊒ߒߚ‫ޕ‬4) ᣣᧄ࿖ౝ‫ޔ‬Amazon EC2 ਄ߦว⸘ 1200 บએ਄ߩᄙ㓏ጀಽᢔᤨೞ⹺⸽࡙࠾࠶࠻ࠍㆇ↪
ߒో਎⇇ⷙᮨߢߩࠗࡦ࠲࡯ࡀ࠶࠻਄ߢᄙ㓏ጀಽᢔᤨೞ⹺⸽ዪߩേ૞ᬌ⸽ࠍⴕߞߚ‫ߩߘޕ‬ࠛ࠶ࠞᣣ☨㑆ߢߩᄙ㓏ጀಽᢔᤨೞ⹺⸽ዪ߇ 5 ਎ઍߦᷰߞߡᔕ╵ᤨ㑆㧝⑽એౝߢᤨೞ⹺⸽น
⢻ߥߎߣࠍ⏕⹺ߒߚ‫ޕ‬㩷⿥⋭㔚ജဳߩ*2%ࠕࡊ࡝ࠤ࡯࡚ࠪࡦ෸߮ࠕ࡞ࠧ࡝࠭ࡓߩ⎇ⓥ㐿⊒‫⎇ޣ‬ⓥߩ᭎ⷐߣᚑᨐ‫ޤ‬JST ߩ CREST ࡊࡠࠫࠚࠢ࠻‫ޟ‬ULP-HPC: ᰴ਎ઍ࠹ࠢࡁࡠࠫߩࡕ࠺࡞ൻ࡮ᦨㆡൻߦࠃࠆ
⿥ᶖ⾌㔚ജࡂࠗࡄࡈࠜ࡯ࡑࡦࠬࠦࡦࡇࡘ࡯࠹ࠖࡦࠣ‫ޠ‬㧔ઍ⴫㧦᧲Ꮏᄢ࡮᧻ጟ⡡㧕ߦ߅޿ߡ‫ޔ‬㕍ᧁዅਯᢎ᝼ߣ౒หߢ⿥⋭㔚ജဳߩ HPC ࠕࡊ࡝ࠤ࡯࡚ࠪࡦߣࠕ࡞ࠧ࡝࠭ࡓߩ㐿⊒ࠍⴕߞߡ޿ࠆ‫⷏ޕ‬Ꮉߪਥߣߒߡᶖ⾌㔚ജ᷹ቯߣ㔚ജ᷹ቯߩߚ߼ߩ᷹ቯ♽ߩ೙૞ߣ᷹ቯࡊࡠࠣ࡜ࡓ
㐿⊒‫ޔ‬ᶖ⾌㔚ജ࡮ࠛࡀ࡞ࠡ࡯ࠍ⠨ᘦߒߚ㊂ሶൻቇ⸘▚ࡔ࠲ࠬࠤࠫࡘ࡯࡜㐿⊒ࠍᜂᒰߒߡ޿
ࠆ‫ޕ‬

152

ᧄᐕᐲߩᚑᨐߣߒߡߪ‫ޔ‬એਅߩㅢࠅߢ޽ࠆ‫ޕ‬1)㕍ᧁᢎ᝼ߩࠣ࡞࡯ࡊ߇૞ᚑߒߚ GPU ࠍ೑↪ߒߚࠕࡊ࡝ࠤ࡯࡚ࠪࡦߩ㔚ജ᷹ቯࠍⴕߞ
ߚ‫ޕ‬᷹ቯኻ⽎ߪ‫ޔ‬ၮᧄ⊛ߥⓍ๺Ṷ▚‫ޔ‬ℂ⎇ࡌࡦ࠴ࡑ࡯ࠢ‫࡝ࡕࡔޔ‬ォㅍߩઁ‫ޔ‬ᔕ↪ࠕࡊ࡝ࠤ࡯
࡚ࠪࡦߢ޽ࠆ᜛ᢔᣇ⒟ᑼߩ᭽‫ࡓ࠭࡝ࠧ࡞ࠕߥޘ‬ታⵝ‫ޔ‬࿶❗ᕈᵹ૕⸘▚‫ޔ‬㕖࿶❗ᕈᵹ૕⸘▚‫ޔ‬ᵤᵄߦߟ޿ߡ᷹ቯࠍⴕߞߚ‫ޕ‬2)᧲ർᄢ૒㊁ಎᢎ᝼ߩࠣ࡞࡯ࡊ߇૞ᚑߒߚ FPGA ߦࠃࠆᵹ૕ࠕࡊ࡝ࠤ࡯࡚ࠪࡦࠪࠬ࠹ࡓ
ߩᶖ⾌㔚ജ᷹ቯࠍⴕ޿‫ޔ‬ICFPT2008 ߩࡐࠬ࠲⺰ᢥߦណᛯߐࠇߚ‫ޕ‬3)㊂ሶൻቇ⸘▚ࡊࡠࠣ࡜ࡓ Gaussian03 ߅ࠃ߮ ABINIT-MP ߦ߅޿ߡ HF ᴺߣ MP2 ᴺߦߟ޿ߡ⸘▚ࠨࠗ࠭߿ਗ೉ᐲ‫ޔ‬CPU‫ߩࡓ࠹ࠬࠪࠢࠬࠖ࠺ޔ‬⒳㘃㧔HDD‫ޔ‬SSD㧕ߦᔕߓߚᶖ
⾌㔚ജߩ⸘᷹ࠍⴕߞߚ‫ޕ‬㩷‫⺰⴫⊒ޣ‬ᢥ࡮ቇળ⊒⴫࡮↥ᬺ⽷↥ᮭ╬‫ޤ‬㩷㪈㪀 㪢㪼㫅㫋㪸㫉㫆㩷㪪㪸㫅㫆㪃㩷㪫㪸㫂㪼㫊㪿㫀㩷㪥㫀㫊㪿㫀㫂㪸㫎㪸㪃㩷㪫㪸㫂㪸㫐㫌㫂㫀㩷㪘㫆㫂㫀㩷㪸㫅㪻㩷㪪㪸㫋㫆㫉㫌㩷㪰㪸㫄㪸㫄㫆㫋㫆㪃㩷㩹㪜㫍㪸㫃㫌㪸㫋㫀㫅㪾㩷㪧㫆㫎㪼㫉㩷㪸㫅㪻㩷㪜㫅㪼㫉㪾㫐㩷㪚㫆㫅㫊㫌㫄㫇㫋㫀㫆㫅㩷㫆㪽㩷㪝㪧㪞㪘㪄㪹㪸㫊㪼㪻㩷㪚㫌㫊㫋㫆㫄㩷㪚㫆㫄㫇㫌㫋㫀㫅㪾㩷㪤㪸㪺㪿㫀㫅㪼㫊㩷㪽㫆㫉㩷㪪㪺㫀㪼㫅㫋㫀㪽㫀㪺㩷㪝㫃㫆㪸㫋㫀㫅㪾㪄㪧㫆㫀㫅㫋㩷㪚㫆㫄㫇㫌㫋㪸㫋㫀㫆㫅㪃㩹㩷㪧㫉㫆㪺㪼㪼㪻㫀㫅㪾㫊㩷㫆㪽㩷㫋㪿㪼㩷㪠㫅㫋㪼㫉㫅㪸㫋㫀㫆㫅㪸㫃㩷㪚㫆㫅㪽㪼㫉㪼㫅㪺㪼㩷㫆㫅㩷㪝㫀㪼㫃㪻㪄㪧㫉㫆㪾㫉㪸㫄㫄㪸㪹㫃㪼㩷㪫㪼㪺㪿㫅㫆㫃㫆㪾㫐㩷㩿㪠㪚㪝㪧㪫㪉㪇㪇㪏㪀㪃㩷㫋㫆㩷㪹㪼㩷㫇㫌㪹㫃㫀㫊㪿㪼㪻㪃㩷㪛㪼㪺㪼㫄㪹㪼㫉㪃㩷㪉㪇㪇㪏㪅㩷㪉㪀 ⊒᣿⠪㩷 ⷏Ꮉᱞᔒ䇮㩷 ಴㗿ੱ㩷 ⷏Ꮉᱞᔒ䇮ಽᢔᤨೞ⹺⸽ࠪࠬ࠹ࡓ‫ᤨޔ‬ೞ⹺⸽ዪ‫ᤨޔ‬ೞ⹺⸽
ᣇᴺ߅ࠃ߮ࡊࡠࠣ࡜ࡓ‫․ޔ‬㗿㧞㧜㧜㧥г㧜㧤㧣㧡㧢㧞㪅㩷

153

 ฃ⾨ቇⴚ⾨╬ࠬ࡯ࡄ࡯ࠦࡦࡇࡘ࡯࠹ࠖࡦࠣࠦࡦ࠹ࠬ࠻㧔ᷰㄝ ᴦ࡮᧻↰ ⵨ᐘ㧕ᢥㇱ⑼ቇᄢ⤿⴫ᓆ⑼ቇᛛⴚ⾨ ℂ⸃Ⴧㅴㇱ㐷㧔2008 ᐕ 4 ᦬㧕ᮮ↰ ᴦᄦ
㧔␠㧕ᖱႎಣℂቇળ ࡈࠚࡠ࡯⒓ภ᝼ਈ㧔2009 ᐕ 3 ᦬㧕᧻ጟ ⡡ISC2008 ISC Award㧔2008 ᐕ 6 ᦬㧕㕍ᧁ ዅਯ
ᐔᚑ20ᐕᐲ ℂ⎇ࡌࡦ࠴ࡑ࡯ࠢࠦࡦ࠹ࠬ࠻ ታⴕᕈ⢻ㇱ㐷 ఝൎ㧔2009ᐕ3᦬㧕
2KRCVRQPIUC6JKTCRQPI㧔␠㧕࿾⋚Ꮏቇળ ᛛⴚᅑബ⾨㧔2008 ᐕ 5 ᦬㧕㗵↰ ᓆSACSIS 2008 ఝ⑲⧯ᚻ⎇ⓥ⾨, IEEE Computer Society Japan Chapter.㧔2008 ᐕ 6 ᦬㧕ᐔᚑ20ᐕᐲ ℂ⎇ࡌࡦ࠴ࡑ࡯ࠢࠦࡦ࠹ࠬ࠻ ታⴕᕈ⢻ㇱ㐷 ఝൎ㧔2009ᐕ3᦬㧕

154

 ᬺോ⽸₂ኾ㐷ᆔຬળᚲዻ࡮㐿௅⁁ᴫ᳁ฬ ⹺⸽ၮ⋚ࡀ࠶࠻ࡢ࡯ࠢ

ᖱႎ⫾Ⓧᵴ↪㩄㩧㩕㩩㨷㨺㩊㩆㩇㩍㩛㩂㩨㩥㨺㩔㩨㩣⾗Ḯᐢႎᷰㄝᴦ

٤





٤





ᬀ᧻෹ᒾ

٤

٤

٤

٤



٤

⷏ේ᣿ᴺ





٤

٤

٤



દ᧲೑຦

٧

٤

٤







ᮮ↰ᴦᄦ

٤



٧

٤



٤

᧻ጟ⡡



٤

٤

٧

٤



㚍⿧ᐾᕶ





٤

٤



٤

㕍ᧁዅਯ







٤

٤

٤

ጊญߒߩ߱









٧

٤

ᦸ᦬␭ᵗ

٤



٤

٤



٧

㧼࠹ࠖ࡜ࡐࡦ









٤



㘵↰ൎศ

٤

٧

٤

٤



٤

᧻↰⵨ᐘ

٤









٤

ᷰㆺ㓁੺











㨿㩖㩨㩅㩨㨺㩔㩨㨺

⷏Ꮉᱞᔒ







㨿㩖㩨㩅㩨㨺㩔㩨㨺



٤

෹⍹ᱜᒾ



٤



㨿㩖㩨㩅㩨㨺㩔㩨㨺ᄢỈᷡ㨿㩖㩨㩅㩨㨺㩔㩨㨺





ኪᧄ⧷ਯ







㨿㩖㩨㩅㩨㨺㩔㩨㨺





⋉੗⾫ᰴ



㨿㩖㩨㩅㩨㨺㩔㩨㨺









ኾ㐷ᆔຬળ㐿௅ᢙࡔ࡯࡞ክ⼏฽߻ ⹺⸽ၮ⋚ኾ㐷ᆔຬળ3࿁ᖱႎ⫾Ⓧ࡮ᵴ↪ኾ㐷ᆔຬળ1࿁ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓኾ㐷ᆔຬળ8࿁ࠦࡦࡇࡘ࡯࠲ࠪࠬ࠹ࡓኾ㐷ᆔຬળ5࿁

 ⎇ⓥࠪࠬ࠹ࡓ WG

2࿁

 ᢎ⢒ࠪࠬ࠹ࡓ WG

2࿁ᄖㇱ೑↪WG

2࿁ࠣࡠ࡯ࡃ࡞ᖱႎ⾗Ḯᵴ↪ද௛ኾ㐷ᆔຬળ4࿁ᐢႎኾ㐷ᆔຬળ

2࿁

155

  50 ࿁⹺⸽ၮ⋚ࠪࠬ࠹ࡓ

ቯᦼࡒ࡯࠹ࠖࡦࠣ

ࡀ࠶࠻ࡢ࡯ࠢࠪࠬ࠹ࡓ

50 ࿁

㐿௅ᢙ

⎇ⓥࠪࠬ࠹ࡓ

56 ࿁ᢎ⢒ࠪࠬ࠹ࡓ

12 ࿁ቇౝᬺോ㑐ㅪᆔຬ╬ዞછ⁁ᴫᆔຬળ╬ฬ᳁ฬ (ᓎ⡯) ৻ⷩᖱႎၮ⋚⛔᜝ቶᷰㄝ (ቶ㐳⵬૒), ᬀ᧻, ᮮ↰, ᧻ጟᖱႎၮ⋚ㇱળ

ᷰㄝ(ਥᩏ), ᬀ᧻, દ᧲, ᮮ↰,᧻ጟ, 㘵↰

࿑ᦠᖱႎㇱળ

ᮮ↰࿑ᦠᖱႎㇱળ࡝ࠨ࡯࠴࡝ࡐࠫ࠻࡝ WG

ᮮ↰(ਥᩏ),㚍⿧,ᦸ᦬,ᷰㄝ(㓁)ડ↹ቶ዁᧪᭴ᗐᬌ⸛⃰ WG

ᷰㄝ, ᬀ᧻㧘⷏ේ࿖㓙ቶ

⷏ේ(ቶ㐳⵬૒)㧘ጊญ࿖㓙ቶᶏᄖ᜚ὐㆇ༡ቶ

⷏ේ, ጊญ, ࠹ࠖ࡜ࡐࡦ

᧲Ꮏᄢർ੩᜚ὐ࠴࡯ࡓ

ጊญ(ਥᩏ)㧘⷏ේ᧲Ꮏᄢ࠲ࠗ᜚ὐ࠴࡯ࡓ

⷏ේ㧘࠹ࠖ࡜ࡐࡦ

ᄢቇࠨࡒ࠶࠻ቇ㐳⵬૒․೎࠴࡯ࡓ⷏ේ㧘ጊญ዁᧪᭴ᗐ 09 ቇ㐳․๮࠴࡯ࡓ⷏ේ㧘ጊญᣣਛቇⴚળ⼏ WG

ጊญOECD 㜞╬ᢎ⢒ߦ߅ߌࠆቇ⠌ᚑᨐߩ⹏ଔጊญ

(AHELO)WG࿖㓙ቶ JSPS࡮NSF ᄢቇ࿖㓙ൻ WG

ጊญᛛⴚㇱᖱႎၮ⋚ᡰេ࠮ࡦ࠲࡯

દ᧲㧔࠮ࡦ࠲࡯㐳㧕ᖱႎ♽ᢎ⢒⎇ⓥᯏ᭴ળ⼏ᮮ↰ࠕ࡯ࠞࠗࡉផㅴᯏ᭴

ᮮ↰

ᖱႎ୶ℂᆔຬળ

ᷰㄝ㧘ᮮ↰㧘દ᧲ᐢႎ࠮ࡦ࠲࡯

ᮮ↰᧲੩Ꮏᬺᄢቇ HP ✬㓸ࠣ࡞࡯ࡊᆔຬ

෹⍹, 㓈᳓⺞ᩏ࡮ᐢႎᵴേ㧔⷗ቇ࡮᧪⾠࡮ᑼౖኻᔕ⁁ᴫ㧕ઙฬኻᔕ⠪᳁ฬ

↥ᬺᛛⴚ✚ว⎇ⓥᚲ

᧻ጟ

IFREMER(French Research Institutefor Exploitation of the Sea)(04/08/2008)

156

࠹࡟ࡆ᧲੩ႎ㆏ዪ⚻ᷣ࠾ࡘ࡯ࠬ࠮ࡦ࠲࡯ᷰㄝ 㧔ᩣ㧕ࡉ࡜ࡦ࠼࠳ࠗࠕࡠࠣ㧔04/14/2008㧕✚วࠝ࡝ࠛࡦ࠹࡯࡚ࠪࡦ㧔04/08/2008㧕દ᧲ ᦸ᦬

ᧄቇℂᎿቇ⎇ⓥ⑼࡮⸘▚‛ℂᎿቇ㕍ᧁ⻠⟵ฃ⻠⠪㧔04/16/2008㧕
NVIDIA࡮Sun Microsystems㧔04/24/2008㧕 ᧻ጟ㧔ᩣ㧕࡝ࠦ࡯࡮ਛᄩ⎇ⓥᚲ㧔04/30/2008㧕 㕍ᧁ
Institute for Computing, Information ᷰㄝ㧘᧻ጟ
and Cognitive Systems(The Universityof British Columbia) (05/14/2008)ਛ࿖࿖ኅ⥄ὼ⑼ቇၮ㊄ᆔຬળᷰㄝ

㧔05/15/2008㧕
IBM㧔05/22/2008㧕ኪᧄᢥㇱ⑼ቇ⋭⎇ⓥᝄ⥝ዪ㧔05/22/2008㧕ᷰㄝ㧘᧻ጟ

ᢥㇱ⑼ቇ⋭⑼ቇᛛⴚ࡮ቇⴚ᡽╷ዪ⷏ේ

㧔05/22/2008㧕
ATIP㧔ࠕࠫࠕ⑼ቇᛛⴚ੤ᵹදળ㧕᧻ጟ

㧔06/10/2008㧕
ᧄቇℂቇㇱᖱႎ⑼ቇ⑼⸘▚ᯏࠪࠬ࠹ࡓ

᧻ጟฃ⻠↢㧔07/18/2008㧕
Sun Microsystems࡮INRIA㧔07/25/2008㧕 ᧻ጟ
National Central Univ. (Taiwan)ኪᧄ(07/29/2008)ࡂ ࡢ ࠗ ᄢ ቇ ‫ ࠬ ࡑ ࠻ ࡯ ࠳ ޔ‬ᄢ ቇ ‫ ޔ‬㚍⿧㧘ᦸ᦬EDUCAUSE‫ޔ‬NIME(08/28/2008)
Rensselaer Polytechnic Institute᧻ጟ(09/02/2008)
NTT (09/10/2008)ᷰㄝਛ࿖᧲ർᄢቇ࡮⪇᧲Ꮷ▸ᄢቇ࡮ᮮ↰⪇᧲ℂᎿᄢቇ (09/26/2008)ࡌ࡞࡝ࡦᎿ⑼ᄢቇቇ㐳 (10/02/2008)ᬀ᧻ᦸ᦬

ᄢቇ⹏ଔ࡮ቇ૏᝼ਈᯏ᭴ (10/28/2008)㚍⿧ᦸ᦬

UNESCO ධࠕࠫࠕ࿾ၞᚲ㐳 (12/01/08)

ጊญࡊ࡟ࠬࡉ࡝࡯ࡈࠖࡦࠣ(12/02/2008)ᷰㄝ㧘᧻ጟ㧘㕍ᧁ㧘ᦸ᦬

JSPS ࠪࡦࡐࠫ࠙ࡓෳട⠪ (12/03/2008)ᷰㄝ㧘⷏ේ

157

☨࿖ NSF(National Science Foundation)⷏ේ(12/04/08)(ᩣ)ࡔ࠺ࠖࠕࠪࠚࠗࠞ࡯࠭ઁ(12/19/2008)᧻ጟบḧ੤ㅢᄢቇ (01/19/2009)ᬀ᧻ᦸ᦬ IBM᧻ጟ㧘ኪᧄ

Austin Research Lab (01/23/2009)ࠛ࡞ࠩ࡮ࠫࡖࡄࡦ‫ޔ‬Lucid (02/12/2009)㕍ᧁOECD࡮ᢥㇱ⑼ቇ⋭ (02/17/2009)᧻ጟ

Microsoft (02/17/2009)᧻ጟ㧘ਣጊ ࠲ࠗ࿖࠴ࠚࡦࡑࠗᄢቇ (03/09/2009)࠹ࠖ࡜ࡐࡦ

UNESCO ർ ੩ ੐ ോ ᚲ ᢎ ⢒ ᜂ ᒰ ቭ ጊญ(03/13/09)
ᣣᧄቇⴚᝄ⥝ળℂ੐㐳 (03/18/2009)ᷰㄝ㧘᧻ጟ

࠲ࠗ࿖ኅἴኂ⼊ႎ࠮ࡦ࠲࡯ (03/23/2009)࠹ࠖ࡜ࡐࡦ

APPRO‫ޔ‬CRAY (03/30/2009)ኪᧄImperial College (03/30/2009)㕍ᧁ⻠Ṷળ࡮࠮ࡒ࠽࡯࡮ࠪࡦࡐࠫ࠙ࡓ╬ડ↹࡮ታᣉ⁁ᴫઙฬડ↹࡮ታᣉ⠪᳁ฬ

GSIC ࠮ࡒ࠽࡯(04/23/2008)㘵↰㧘⹺⸽ၮ⋚ࠪࠬ࠹ࡓᜂᒰ ᣂ㉿ ቟⦟ጟవ┵⎇ⓥᣉ⸳౒↪ࠗࡁࡌ࡯࡚ࠪࡦഃ಴੐ᬺ

ᷰㄝ㧘⷏Ꮉ

ࠪࡦࡐࠫ࠙ࡓ(06/11/2008)╙㧝㧠࿁ࠬࡄࠦࡦࠦࡦ࠹ࠬ࠻

ᷰㄝ㧔ታⴕᆔຬ㐳㧕㧘᧻↰㧘ኪᧄ

(07/28㨪08/01/2008)
SuperComputing 2008 ࡉ࡯ࠬ಴ዷ

᧻ጟ㧘㕍ᧁ㧘ኪᧄ(11/15 㨪11/21/2008)
NVIDIA CEO Jensen Huang ᳁ᷰㄝ㧘㕍ᧁ㧘᧻ጟ⻠Ṷળ(12/02/2008)╙ 1 ࿁ TSUBAME ࠍ೑↪ߔࠆ࿖㓙౒ห⎇ⓥ

⷏ේ㧘ጊญ㧘࠹ࠖ࡜ࡐࡦ㧘㕍ᧁ㧘᧻ጟଦㅴࡈࠜ࡯࡜ࡓ(12/24/2008)╙ 5 ࿁ GSIC ࿖㓙ࠪࡦࡐࠫ࠙ࡓ(12/24/2008)㕍ᧁ 

ࡕࡦ ࠧ࡞ᢎ⢒⑼ ቇᛛⴚ⋭ߦ ߅ߌࠆࡢ࡯ࠢ

ጊญ࡚ࠪ࠶ࡊ(8,10,12/2008)158઀᭽╷ቯ࡮ᛛⴚክᩏኻᔕ⁁ᴫઙฬኻᔕㇱ㐷࡮ੱᢙ

㜞ㅦࡈ࡯࡝ࠛᄌ឵Ṷ▚ടㅦⵝ⟎㕍ᧁ㧘ኪᧄࠠࡖ ࡦࡄࠬࠣ࡝ ࠶࠼ၮ⋚ࠪ ࠬ࠹ࡓ↪Ⴧ⸳᧻ጟ㧘ዊ㊁㧘ጊ᪸㧘቟⦟ጟ㧘㢬⷗㧘ࡈࠔࠗ࡞ࠪࠬ࠹ࡓ

ᩮᧄኻᄖធ⛯࡞࡯࠲ߩ⚻〝೙ᓮᯏ⢻Ⴧᒝߩߚ߼

દ᧲㧘㘵↰㧘෹⍹㧘⋉੗㧘ᳯዥ㧘᫪⼱ߩࠪࠬ࠹ࡓ
ࡄ࡜ࡔ࡯࠲ࠨ࡯ࡌࠗ↪ࠨ࡯ࡃ⟲᧻ጟ㧘ጊ᪸㧘ᩮᧄ㧘㢬⷗㧘቟⦟ጟࠠࡖࡦࡄࠬ൮᜝࠰ࡈ࠻࠙ࠚࠕ࡜ࠗ࠮ࡦࠬ

દ᧲㧘ዊ㊁㧘ਭ⢻㧘቟⦟ጟᢎ⢒↪㔚ሶ⸘▚ᯏࠪࠬ࠹ࡓ

ᷰㄝ㧘᧻ጟ㧘ᦸ᦬㧘ዊ㊁㧘቟⦟ጟ

OCW ㅊടࠪࠬ࠹ࡓ

ᮮ↰㧘દ᧲㧘ᦸ᦬࿖㓙౒ห⎇ⓥࠦ࡯࠺ࠖࡀ࡯࠻࡮ࡑ࠶࠴ࡦࠣ⁁ᴫઙฬኻᔕ⠪᳁ฬ

࠴ࡘ࡜ࡠࡦࠦࡦᄢቇ

࠹ࠖ࡜ࡐࡦ

ࠗ࠲࡝ࠕ ࠦࡦ࠰࡯ࠪࠕࡓ㕍ᧁ࿖ㅪᢎ⢒⑼ቇᢥൻᯏ㑐࡮ࡕࡦࠧ࡞࿖┙ᄢቇጊญ࿖ㅪᢎ⢒⑼ቇᢥൻᯏ㑐਎⇇ㆮ↥࠮ࡦ࠲࡯࡮࡜

ጊญࠝࠬᖱႎᢥൻ⋭ᬺോ㑐ㅪ಴ᒛ⁁ᴫ
ઙฬ

᳁ฬ

ౝኈ

SunUP Network Meeting

ጊ᪸

TSUBAME ߦ㑐ߔࠆ⻠Ṷ

Spring2008 (6 ᦬)
ᄢ㒋ᄢቇ

(7 ᦬)

ᷰㄝ, 㢬⷗ࠬࡄࠦࡦࠦࡦ࠹ࠬ࠻

ᐢፉᄢቇ(10 ᦬)

દ᧲,ᣂ㉿,ጊፒ

ࠣ࡞࡯ࡊ࠙ࠚࠕታᘒ⺞ᩏጊፒᄢቇᖱႎၮ⋚ࠪࡦࡐࠫ࠙ࡓ಴Ꮸ

㕒ጟ↥ቇ੤ᵹ࠮ࡦ࠲࡯

159

᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷ᐕႎ㩷㪉㪇㪇㪏 ᐕᐲ㩷╙ 㪎 ภ㩷
㩷䋨㪉㪇㪇㪐 ᐕ 㪍 ᦬⊒ೀ䋩㩷㩷✬㓸㩷 㩷 ᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷ᐢႎኾ㐷ᆔຬળ㩷⊒ⴕ㩷 㩷 ᧲੩Ꮏᬺᄢቇቇⴚ࿖㓙ᖱႎ䉶䊮䉺䊷㩷㩷 㩷 㩷 㩷 㩷 䇾㪈㪌㪉㪄㪏㪌㪌㪇㩷 ᧲੩ㇺ⋡㤥඙ᄢጟጊ㩷 㪉㪄㪈㪉㪄㪈㩷㔚⹤㩷 㩷 㪇㪊㪄㪌㪎㪊㪋㪄㪉㪇㪏㪎㩷㩷