Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

1

OUTLINE

1.1

Supercomputer System

At the beginning of School Year 2020 (SY2020), the ISSP supercomputer center
provided users with two supercomputer systems: SGI ICE XA/UV hybrid system
named “sekirei” (System B) and HPE SGI 8600 system named “enaga” (System
C). In Oct. 2020, Systems B was replaced by Dell PowerEdge C6525/R940 system
named “ohtaka”, and this system will be called System B for the next six years.
System B is a massively-parallel supercomputer with two types of compute nodes:
8 “Fat” nodes and 1680 “CPU” nodes. “Fat” nodes are each comprised of fourIntel Xeon Platinum 8280 CPUs (28 cores/CPU) and 3 TB of memory per node.
“CPU” nodes have two AMD EPYC 7702 CPUs (64 cores/CPU) and 256 GB ofmemory per node. System B achieves about 6.881 PFLOPS in theoretical peak
performance with high power eﬃciency. The subsystem comprised of only CPU
nodes ranks 87st in the Nov. 2020 Top 500 List, which is a ranking based on total
performance measured by the HPL benchmark. The compute nodes communicate
to each other through HDR100 Inﬁniband and are connected in fat tree topology.
System B entered oﬃcial operation on Oct. 16th, 2020. Trial operation of System
B continued until Nov. 26th, 2020. 2020 was the ﬁrst year of the operation of thecurrent System B. System C is a massively-parallel supercomputer with 252 “CPU”
nodes, which have two Intel Xeon Gold 6148 CPUs (20 cores/CPU) and 192 GB ofmemory. System C achieves 774 TFLOPS in theoretical peak performance. 2020
was the third year of the operation of the current System C. For further details,
please contact ISSP Supercomputer Center (SCC-ISSP).
[Correspondence: center@issp.u-tokyo.ac.jp]

1.2

Project Proposals

The ISSP supercomputer system provides computation resources for scientists
working on condensed matter sciences in Japan. All scientiﬁc staﬀ members (including post-docs) at universities or public research institutes in Japan can submit
proposals for projects related to research activities on materials and condensed
matter sciences. These proposals are peer-reviewed by the Advisory Committee
members (see Sec. 1.3), and then the computation resources are allocated basedon the review reports. The leader of an approved project can set up user accounts
for collaborators. Other types of scientists, including graduate students, may also
be added. Proposal submissions, peer-review processes, and user registration are
all managed via a web system.
The computation resources are distributed in a unit called “point”, determined
as a function of available CPU utilization time and consumed disk resources. There
were calls for six classes of research projects in SY 2020. The number of projects
and the total number of points that were applied for and approved in this school
year are listed in Table 1.

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Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Table 1: Classes of research projects in SY 2020

Class

A
B
C
D
E
S
SCCMS
Total

Class

A
B
C
D
E
S
SCCMS
Total

Maximum
PointsSys–B Sys–C
100
50
500
100
5k
1k
10k
1k
15k
3k
–
–

Maximum
PointsSys–B Sys–C
100
50
1k
100
8k
1k
10k
1k
25k
3k
–
–

First semester (Apr.-Sep.)
Application # ofTotal points
Proj.
AppliedApproved
Sys–B Sys–C Sys–B Sys–C
any time
8
0.8k
0.4k
0.8k
0.4k
twice a year
61
28.4k
4.0k
22.8k
3.9k
twice a year
115 446.5k
80.1k 239.8k 42.4k
any time
3
22.5k
2.0k
15.0k
2.0k
twice a year
9 127.4k
27.0k
88.5k 21.4k
twice a year
0
0
0
0
0
11
23.7k
4.6k
23.7k
4.6k
207 649.3k 118.0k 390.6k 74.6k

Second semester (Oct.-Mar.)
Application # ofTotal points
Proj.
AppliedApproved
Sys–B Sys–C Sys–B Sys–C
0.4k
1.0k
0.4k
any time10
1.0k
twice a year
57
46.6k
3.2k
22.0k
2.0k
twice a year
96 595.8k
59.0k 226.0k 22.3k
any time
00000
twice a year
7 175.0k
18.0k
87.0k
8.4k
twice a year
0
0
0
0
0
10
50.0k
4.5k
50.0k
4.5k
180 868.3k
85.0k 386.0k 37.5k

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Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

System B, Ohtaka
6.881 PFLOPS
memoryr : 420 TB
ry
storage : 2.3 PB

System C, Enaga
0.774 PFLOPS
memorymemoryry :: 47.25
ry
47.25 TB
TB
storagestorage :: 0.5
0.5 PBPB

Figure 1: Supercomputer System at the SCC-ISSP• Class A is for trial use by new users; proposals for Class A projects are
accepted throughout the year.
• Proposals for projects in Classes B (small), C (mid-size), E (large-scale), andS (exceptional) can be submitted twice a year. Approved projects in Classes
A, B, C, and E continue to the end of the school year.
• In Class D, projects can be proposed on rapidly-developing studies that needto perform urgent and relatively large calculations. An approved projectcontinues for 6 months from its approval.
• Class S is for projects that are considered extremely important for the fieldof condensed matter physics and requires extremely large-scale computation.
The project may be carried out either by one research group or cooperatively
by several investigators at different institutions. A project of this class should
be applied with at least 10,000 points; there is no maximum. We requiregroup leaders applying for Class S to give a presentation on the proposal to
the Steering Committee of the SCC-ISSP. Class S projects are carried out
within one year from its approval.
• Project leaders can apply for points so that the points for each system do
not exceed the maximum point shown in this table.
In addition, from SY 2016, ISSP Supercomputer has been providing 20% of
its computational resources for Supercomputing Consortium for Computational
Materials Science (SCCMS), which aims at advancing parallel computations incondensed matter, molecular, and materials sciences on the 10-PFlops K Computer3

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyoand the exascale post-K project. From SY 2020, about 10% of the computational
resources have been provided for SCCMS. Computational resources have also beenallotted to Computational Materials Design (CMD) workshops, as well as CCMS
hands-on workshops.

1.3

Committees

In order to fairly manage the projects and to smoothly determine the system
operation policies, the Materials Design and Characterization Laboratory (MDCL)of the ISSP has organized the Steering Committee of the MDCL and the Steering
Committee of the SCC-ISSP, under which the Supercomputer Project Advisory
Committee (SPAC) is formed to review proposals. The members of the committees
in SY 2020 were as follows:

Steering Committee of the MDCLKAWASHIMA, Naoki
HIROI, Zenji
OZAKI, Taisuke
NOGUCHI, Hiroshi
UWATOKO, Yoshiya
SUGINO, Osamu
KUBO, Momoji
ONO, Tomoya
YAMAURA, Jun-ichi
TAKAHASHI, Hiroki
MOTOME, Yukitoshi
HOSHI, Takeo
KIMURA, Kaoru
HASEGAWA, Masashi
NAKATSUJI, Satoru

ISSP (Chair person)
ISSP
ISSP
ISSP
ISSP
ISSP
Tohoku Univ.
Kobe Univ.
Tokyo Tech.
Nihon Univ.
Univ. of Tokyo
Tottori Univ.
Univ. of Tokyo
Nagoya Univ.
ISSP

Steering Committee of the SCC-ISSP
KAWASHIMA, Naoki
NOGUCHI, Hiroshi
OZAKI, Taisuke
SUGINO, Osamu
TSUNETSUGU, Hirokazu
KATO, Takeo
YAMASHITA, Minoru
MORITA, Satoshi
HIGUCHI, Yuji
FUKUDA, Masahiro
IDO, Kota

ISSP (Chair person)
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP

4

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of TokyoKAWAMURA, Mitsuaki
NAKAJIMA, Kengo
HATANO, Naomichi
MOTOME, Yukitoshi
ONO, Tomoya
TODO, Synge
KUBO, Momoji
OBA, Fumiyasu
WATANABE, Hiroshi
YOSHINO, Hajime
OKUMURA, Hisashi
HOSHI, Takeo
YOSHIMI, Kazuyoshi
YATA, Hiroyuki
FUKUDA, Takaki

ISSP
Univ. of Tokyo
Univ. of Tokyo
Univ. of Tokyo
Kobe Univ.
Univ. of Tokyo
Tohoku Univ.
Tokyo Tech.
Keio Univ.
Osaka Univ.
NINS-RSCS
Tottori Univ.
ISSP
ISSP
ISSP

Supercomputer Project Advisory Committee
KAWASHIMA, Naoki
NOGUCHI, Hiroshi
OZAKI, Taisuke
SUGINO, Osamu
TSUNETSUGU, Hirokazu
KATO, Takeo
YAMASHITA, Minoru
MORITA, Satoshi
HIGUCHI, Yuji
FUKUDA, Masahiro
IDO, Kota
KAWAMURA, Mitsuaki
NAKAJIMA, Kengo
HATANO, Naomichi
MOTOME, Yukitoshi
ONO, Tomoya
TODO, Synge
KUBO, Momoji
OBA, Fumiyasu
WATANABE, Hiroshi
YOSHINO, Hajime
OKUMURA, Hisashi
HOSHI, Takeo
TSUNEYUKI, Shinji
SUZUKI, Takafumi
YOSHIMOTO, Yoshihide
TOHYAMA, Takami

ISSP (Chair person)
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
ISSP
Univ. of Tokyo
Univ. of Tokyo
Univ. of Tokyo
Univ. of Tsukuba
Univ. of Tokyo
Tohoku Univ.
Tokyo Tech.
Keio Univ.
Osaka Univ.
NINS-RSCS
Tottori Univ.
Univ. of Tokyo
Univ. of Hyogo
Univ. of Tokyo
Tokyo Univ. of Sci.

5

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of TokyoKITAO, Akio
ARITA, Ryotaro
IKUHARA, Yuichi
SHIBATA, Naokazu
AKAGI, Kazuto
YANASE, Yoichi
HATSUGAI, Yasuhiro
OKADA, Susumu
KOBAYASHI, Nobuhiko
NAKAYAMA, Takashi
HOTTA, Takashi
MATSUKAWA, Hiroshi
YAMAUCHI, Jun
HAGITA, Katsumi
KONTANI, Hiroshi
SAITO, Mineo
KAWAKAMI, Norio
YUKAWA, Satoshi
SUGA, Seiichiro
TATENO, Masaru
YASUDA, Chitoshi
OGATA, Masao
WATANABE, Satoshi
HUKUSHIMA, Koji
NEMOTO, Koji
YABANA, Kazuhiro
FURUKAWA, Nobuo
KUROKI, Kazuhiko
YASUOKA, Kenji
TANAKA, Yukio
MASUBUCHI, Yuichi
KUSAKABE, Koichi
SHIRAI, Koun
SAKAI, Toru
ISHIBASHI, ShojiOTANI, Minoru
TOMITA, Yusuke
MIYASHITA, Seiji
SHIRAISHI, Kenji
OGUCHI, Tamio
KAWAKATSU, Toshihiro
KOBAYASHI, Kazuaki
TATEYAMA, Yoshitaka
KIM, KangOTSUKI, Tomi

Tokyo Tech.
Univ. of Tokyo
Univ. of Tokyo
Tohoku Univ.
Tohoku Univ.
Kyoto Univ.
Univ. of Tsukuba
Univ. of Tsukuba
Univ. of Tsukuba
Chiba Univ.
Tokyo Metropolitan Univ.
Aoyama Gakuin Univ.
Keio Univ.
National Defense Academy
Nagoya Univ.
Kanazawa Univ.
Kyoto Univ.
Osaka Univ.
Univ. of Hyogo
Univ. of Hyogo
Univ. of the Ryukyus
Univ. of Tokyo
Univ. of Tokyo
Univ. of Tokyo
Hokkaido Univ.
Univ. of Tsukuba
Aoyama Gakuin Univ.
Osaka Univ.
Keio Univ.
Nagoya Univ.
Nagoya Univ.
Osaka Univ.
Osaka Univ.
Univ. of Hyogo
AIST
AIST
Shibaura Inst. Tech.
JPS
Nagoya Univ.
Osaka Univ.
Tohoku Univ.
NIMS
NIMS
Osaka Univ.
Sophia Univ.

6

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of TokyoMORIKAWA, Yoshitada
ODA, Tatsuki
OTSUKI, Junya
KOGA, Akihisa
SHIMOJO, Fuyuki
TAKETSUGU, Tetsuya
TSURUTA, Kenji
HAMAGUCHI, Satoshi
NISHIDATE, Kazume
KAGESHIMA, Hiroyuki
SATO, Tetsuya
ISHII, Fumiyuki
TATETSU, Yasutomi
YANAGISAWA, Susumu
SHUDO, Ken-ichi
OHMURA, Satoshi
NOGUCHI, Yoshifumi
NAKAMURA, Kazuma
GOHDA, Yoshihiro
HAMADA, Ikutaro
RAEBIGER, Hannes
TADA, Tomofumi

1.4

Osaka Univ.
Kanazawa Univ.
Okayama Univ.
Tokyo Tech.
Kumamoto Univ.
Hokkaido Univ.
Okayama Univ.
Osaka Univ.
Iwate Univ.
Shimane Univ.
Keio Univ.
Kanazawa Univ.
Meio Univ.
Univ. of the Ryukyus
Yokohama Natl. Univ.
Hiroshima Inst. Tech.
Shizuoka Univ.
Kyushu Inst. Tech.
Tokyo Tech.
Osaka Univ.
Yokohama Natl. Univ.
Tokyo Tech.

Staﬀ

The following staﬀ members of the SCC-ISSP usually administrate the ISSP Supercomputer.
KAWASHIMA, Naoki
NOGUCHI, Hiroshi
OZAKI, Taisuke
SUGINO, Osamu
IDO, Kota
FUKUDA, Masahiro
HIGUCHI, Yuji
KAWAMURA, Mitsuaki
MORITA, Satoshi
YOSHIMI, Kazuyoshi
MOTOYAMA, Yuichi
YATA, Hiroyuki
FUKUDA, Takaki
ARAKI, Shigeyuki

Professor (Chair person)
Associate Professor
Professor
Professor
Research Associate
Research Associate
Research Associate
Research Associate
Research Associate
Project Researcher
Project Researcher
Technical Associate
Technical Associate
Technical Associate

7Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

2

STATISTICS (SCHOOL YEAR 2020)

2.1

System and User Statistics

In the following, we present statistics for operation time taken in the period from
April 2020 to March 2021 (SY 2020). In Table 2, we show general statistics ofthe supercomputer system in SY 2020. The total numbers of compute nodes in
System B “sekirei”, System B “ohtaka” and System C “enaga” are 1891, 1688 and252, respectively. Consumed disk points amount to about a few percent of thetotal consumed points in both System B and System C.
Table 2: Overall statistics of SY 2020
System B
System B
System C
sekireiohtakaenaga(Apr.–Jun.) (Oct.-Mar.) (Apr.–Mar.)3
total service time (×10 node·hours)
4060
7252
1734
number of executed jobs
179504
19148382484
3
total consumed points (×10 point)
164
188
55
CPU points (×103 point)
158
185
54
3
disk points (×10 point)
6
4
2
total exec. time (×103 node·hours)
3626
5935
1454
availability
98.29 %
98.37%
94.59%
utilization rate
89.31 %
80.43%
83.40%In Fig. 2, availabilities, utilization rates, and consumed points in Systems B
and C are plotted for each month. Throughout the school year, the availability
and the utilization rates were very high, while these were reduced from July to
October due to the replacement of System B and the construction of the watercooling equipment.
The user statistics are shown in Fig. 3. The horizontal axis shows the rank of theuser/group arranged in the descending order of the execution time (hour×nodes).
The execution time of the user/group of the ﬁrst rank is the longest. The verticalaxis shows the sum of the execution time up to the rank. From the saturation
points of the graphs, the numbers of “active” users of Systems B and C are around
200 and 150, respectively. The maximum ranks in the graphs correspond to thenumber of the users/groups that submitted at least one job.

2.2

Queue and Job Statistics

Queue structures of Systems B and C in SY2020 are shown in Tables 3 and 4,
respectively. In System B “ohtaka”(“sekirei”), users can choose from two (three)types of compute nodes; jobs submitted to queues with “cpu” and “fat” (“cpu”,“acc”, and “fat”) at the end of their queue names are submitted to CPU and8

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Fat nodes (CPU, ACC, and Fat nodes), respectively, while only CPU nodes areavailable in System C “enaga”. See Sec. 1.1 for a description of each type ofcompute node. The user then has to choose the queue according to the numberof nodes to use and the duration of their calculation jobs. Queue names startingwith “F” are for jobs taking 24 hours or less, while those starting with “L” canrun much longer up to 120 hours. More nodes are allotted to “F” queues in orderto maximize the turnaround time of user jobs. The queue names starting with“i” are used for interactive debugging of user programs and the elapsed time limit
is 30 minutes. The number following “F”, “L”, or “i” correspond to the numberof nodes that can be used by one user job. Although we do not mention here indetail, to promote utilization of the massively parallel supercomputer, backgroundqueues (queue name starting with “B”) for Systems B and C which charge nopoints for the jobs have also been open.
To prevent overuse of the storage, points are charged also for usage of disk
quota in the three systems, as shown in Table 5. Disk points are revised often for
optimal usage of the resources by examining usage tendencies each year.
The number of jobs, average waiting time, and total execution time in eachqueue are shown in Tables 6 and 7. In System B, a large portion of jobs havebeen executed in “F” queues. The largest amount of the execution time has
been consumed in the large-scale “F144cpu” and “F72cpu” queues for sekirei andohtaka, respectively. However, substantial number of jobs were run in every queue,
suggesting that a wide variety of user needs are met by this queuing scheme. In
most of these queues, the queue settings meet the user’s tendencies in that thewaiting times are on the order of the elapsed-time limit.

2.3

Project for Advancement of Software Usability in Materials Science

From School Year 2015, the supercomputer center (SCC) has started “Project
for advancement of software usability in materials science”. In this project, forenhancing the usability of the supercomputer system in ISSP, we perform some
software-advancement activity such as implementing a new function to an existing
code, releasing a private code on Web, writing manuals. Target programs are
publicly oﬀered in December and selected in the review by the Steering Committeeof SCC. The projects are carried out by the software development team composedof three members in ISSP. In SY 2020, three projects were selected as listed inTable 8.

Acknowledgments
The staﬀs would like to thank Prof. Takafumi Suzuki (now at University of Hyogo)
for developing WWW-based system (SCM: SuperComputer Management System)
for management of project proposals, peer-review reports by the SPAC committee,
and user accounts. We also thank Ms. Reiko Iwafune for creating and maintaining
a new WWW page of the ISSP Supercomputer Center.

9

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

System B

System C

Figure 2: Availabilities, utilization rates and point consumptions of each month
during SY 2020.

System B, sekirei

System B, ohtaka

System C, enaga

Figure 3: User statistics. The horizontal axis shows the rank of the user/grouparranged in the descending order of the execution time (hour×nodes). The verticalaxis shows the sum of the execution time up to the rank.

10Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Table 3: Queue structures of System B in SY 2020
System B, sekirei
Memoryjob points
queue
Elapsed time # of nodes # of nodes
namelimit (hr)/job/queuelimit (GB)/(node·day)
F4cpu
24
1–4
216
120/node
1
1
L4cpu
120
1–4
108
120/node
F36cpu24
5–36
288
120/node1
L36cpu120
5–36
144
120/node
1
F144cpu24
37–1441008
120/node 72(144)/(# of nodes)∗L144cpu120
37–144144
120/node 72(144)/(# of nodes)∗i18cpu0.5
1–18
72
120/node1
F18acc24
1–18
180120/node2
L18acc120
1–18
90120/node
2
i9acc
0.5
1–9
36
120/node
2
F2fat
24
1–2
17
1000/node
4
L2fat
120
1–2
6
1000/node
4
i1fat
0.5
1
2
1000/node
4∗

For F/L144cpu queue, the number of occupied node increases in increments of 72
nodes.

System B, ohtaka
queue
Elapsed time # of nodes # of nodes
Memorynamelimit (hr)/job/queuelimit (GB)
F1cpu
24
1
600
230/node
L1cpu
120
1
300
230/node
F4cpu
24
2–4
216
230/node
L4cpu
120
2–4
108
230/node
F16cpu24
5–16
288
230/node
L16cpu120
5–16
144
230/node
F36cpu24
17–36
72
230/node
L36cpu120
17–36
36
230/node
F72cpu24
72
576
230/node
L72cpu120
72
288
230/node
F144cpu
24
144
432
230/node
L144cpu
120
144
144
230/node
i8cpu
0.5
1–8
72
230/node
F2fat
24
1–2
7
2900/node
L2fat
120
1–2
3
2900/node
i1fat
0.5
1
1
2900/node11

job points/(node·day)
1
1
1
1
1
1
1
1
1
1
1
1
1
4
4
4

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Table 4: Queue structures of System C in SY 2020
System C, enaga
queue Elapsed time # of nodes # of nodes
namelimit (hr)/job/queue
F4cpu
24
1–4
54
L4cpu
120
1–4
18
0.5
1–4
18
i4cpu
F9cpu
24
5–9
36
L9cpu
120
5–9
18
F36cpu24
10–36
144
L36cpu
120
10–36
36
∗

Memorylimit (GB)170/node
170/node
170/node
170/node
170/node
170/node
170/node

job points/(node·day)
1
1
1
1
1
18(36)/(# of nodes)∗18(36)/(# of nodes)∗For F/L36cpu queue, the number of occupied node increases in increments of 18 nodes.

Table 5: Disk points of Systems B and C

System B sekirei

/home
/work
System B ohtaka /home/work
System C enaga /home
/work
∗
∗

point/day
0.001 × θ(q − 300)
0.0001 × θ(q − 3000)
0.001 × θ(q − 600)
0.0001 × θ(q − 6000)
0.001 × θ(q − 150)
0.0001 × θ(q − 1500)

q is denoted in unit of GB.
θ(x) is equal to the Heaviside step function H(x) multiplied by x, i.e., xH(x).

12Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Table 6: Number of jobs, average waiting time, total execution time, and average
number of used nodes per job in each queue of System B.

queue
F4cpu
L4cpu
F36cpuL36cpuF144cpu
L144cpu
i18cpuF18acc
L18acc
i9acc
F2fat
L2fat
i1fat

queue
F1cpu
L1cpu
F4cpu
L4cpu
F16cpuL16cpuF36cpuL36cpuF72cpuL72cpuF144cpu
L144cpu
i8cpu
F2fat
L2fat
i1fat

# of Jobs
58198
2563
4617
720
2434
59
16181
28444
1334
458
1667
417
492

# of Jobs
79020
3130
39592
2325
8550
1041
715
46
3215
80
1236
47
36070
4476
268
400

System B, sekirei
Waiting Time
Exec. Time # of nodes(hour) (×103 node·hour)
6.68
305.491.35
27.32
147.351.52
18.02
332.16
10.87
43.54
210.528.52
27.52
1799.18
95.31
131.70234.02106.17
0.32
21.10
8.61
3.36
245.80
3.23
1.83
7.72
85.87
0.06
0.13
3.40
11.92
15.90
1.33
23.29
7.78
1.09
0.03
0.09
1.00
System B, ohtaka
Waiting Time
Exec. Time # of nodes
3(hour) (×10 node·hour)
25.58
156.191.00
80.84
100.341.00
14.36
557.682.58
24.48
183.462.84
33.61
607.919.72
87.90
422.01
10.46
84.88
174.38
26.47
94.17
37.22
24.78
17.44
1782.87
72.00
49.64
190.6972.00
27.96
1156.23144.00169.13325.44144.00
0.12
22.44
3.63
8.87
13.11
1.05
22.37
5.54
1.03
0.47
0.05
1.00

13

Activity Report 2020 / Supercomputer Center, Institute for Solid State Physics, The University of Tokyo

Table 7: Number of jobs, average waiting time, total execution time, and average
number of used nodes per job in each queue of System C.
System C, enaga
queue# of Jobs Waiting Time
Exec. Time # of nodes(hour) (×103 node·hour)
F4cpu
44830
9.74
221.91
1.31
L4cpu
1620
46.22
86.90
1.70
i4cpu
13624
0.13
3.15
2.26
F9cpu
4688
23.12
113.76
6.32
L9cpu
249
45.02
55.75
6.92
F36cpu4203
19.08
643.7322.76
L36cpu145
148.48162.7029.30

Table 8: List of Project for advancement of software usability in materials science
for SY 2020.
Project Proposer
Ryo Tamura
NIMS
Synge Todo
The University of Tokyo
Takeo Hoshi
Tottori University

Project Name
Bayesian optimization library COMBO
MateriApps Installer- Installation Tool for Open-source Software
Advancement of the experimental data analysis
for 2D material structure

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