Joint Usage of TSUBAME2.5/3.0
Partnership Resource Allocations

TSUBAME Industrial Use -Statistical InformationTSUBAME Services

TSUBAME is open to academia and industries. Industrial use started in FY2007.
TSUBAME Usage Profile
2011

75.63%The Number of Industrial Projects

20.74%
50

2012

72.34%

23.45%
40

2013

62.01%

Trial Use
(Fully Subsidized)

How to Use TSUBAME?
User types

Pay Use-2015

Newly Accepted Continuations

2016-

HPCI (Full Year) HPCI (Half Year)Open

ClosedNon-Tokyo Tech Users(Permanent call for proposals)

15.36%22.63%

56.25%

Industrial Users

24.35% 19.40%

201555.40%

24.16% 20.44%

66.30%

19.21%14.23%

Internal Academia
External Academia
External Industry*: As of 2016/09/30

Partnership Resource
Allocations

Academic and Industrial Use0HPCI/JHPCN

Academic and Industrial Use
Supported by MEXT

Foreign Researchers

International Collaboration

Collaborators with Tokyo
Tech Professors

Research Collaboration
based on Research Fund orIndustrial Contracts

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

PriceRemarks

Trial Use

OpenFreeSupported byMEXT

Pay UseOpen$0.88/NodeH

Closed$1.76/NodeH

Exchange rate is calculated with $1 = ¥113.

Intellectual properties are reserved completely by theusers and are not required to be shared with Tokyo Tech.
“NodeH” is the unit for pricing. 1 NodeH is equivalent to 1
node for 1 hour.
For example, if you pay $88, you can use 100 nodes for 1 hour,or 1 node for 100 hours.

Each node has 2 Intel Xeon processors (28 cores) and 4
NVIDIA Tesla P100 GPUs, with 256GB Memory.
“Publicity: Open” requires company name, division, purpose to use and the report of result to be published.
“Publicity: Closed” only requires company name to bepublished.

HPCI/JHPCN (2016-)

10

2016*

All Students have TSUBAMEaccounts.

Project for Creation ofIndustrial UseResearch Platforms andSupported by MEXT
Sharing of Advanced
Research Infrastructure (-2015)20

PublicityRemarks column

Tokyo Tech Students andProfessors

30

2014

ProgramsMenu

Distributed Computing for Machine Learning on Large-Scale Image Dataset
Ikuro Sato*, Ryutaro Watanabe*, Hiroki Nishimura**, Akihiro Nomura***, Satoshi Matsuoka*** (*DENSO IT LABORATORY, INC., **DENSO CORPORATION, ***Tokyo Institute of Technology)(This article is extracted from TSUBAME e-Science Journal Vol 14.)

Intensive researches have been revealing that machine-learning methods known as Deep
Neural Networks (DNNs) show great classification capabilities through supervised training
on massive datasets. This research aims to quantify a condition that primarily controls classification capabilities, and generate a high-performing ensemble classifier consisting ofplural DNN models. As for the training, we used node-distributed machine-learning program that we developed from scratch. As many as 96 GPUs are used to train a single
DNN model. Most models are trained during the TSUBAME Grand Challenge, using
1146 GPUs simultaneously at peak, reaching about 1 TFLOPS (single) per GPU in thecost de-rivative parts.
(a)
(b)
(c)

(a)

(b)

Figure 2. Validation images falsely classified byour model. (a) Arabian camel, (b) triceratops.
60
model#sampletop-5 error rate

5550454035302520150

Figure 1. Validation images correctly classified by our model.
(a) Unicycle, (b) paddle, (c) bubble.

510 15 20 25 30 35
number of parameters (1.0e6)

40

Figure 3. The relationship between the classification
accuracy and the number of training parameters. The
blue line indicates the number of training samples.

HPCI Confederation
HPCI : High Performance Computing Infrastructure- National grid infrastructure for HPC research
Resources- 11 supercomputers in Japan, including TSUBAME 2.5/3.0- 100PB global shared storage to share dataServices- One-stop sign up to all resources- Single sign on to all resources using Shibboleth & GSI
Status- 28 projects and 198 users use
TSUBAME 2.5/3.0 for the HPCI projecton FY2017
GSI-SSHFor more details,
please go to booth #219
“Research Organization
for Information Science &Technology (RIST)”

Kyushu University

Hokkaido University

JHPCN

JHPCN : Joint Usage/Research Center
for Interdisciplinary Large-scale
Information Infrastructures- The Network-Type Research Center aims to contributeto the advancement and permanent developmentof the academic and research infrastructure of Japan
Global Shared Storage
Gfarm File System
Resources Provider- 8 supercomputer centers in Japan, including TSUBAME 2.5/3.0
Call for Proposals of Joint Research Projects- Approximately 60 research projects in each year,
including international & Industry joint research projects
Status- 11 projects uses TSUBAME 2.5/3.0, and total 46 projects are adopetd as JHPCN projects on FY2017

Web Access(Shibboleth)

GSI-SSH

Tohoku UniversitySingle Sign On

HPCI CA(NII)

File Access

13.5PBStorage

HPCI Portal(HPCI Office)

10PB
Storage

400TB
Storage

Kyoto University

RIKEN, AICS

Osaka University

University of Tsukuba
The University of Tokyo

Shared Storage / East Hub
The University of Tokyo (Kashiwa)

ISM

Tokyo Institute of Technology

JAMSTEC

Nagoya University

Shared Storage / Tokyo Tech Hub
Tokyo Institute of Technology (Tokyo)

Shared Storage / West Hub
RIKEN, AICS (Kobe)

http://www.gsic.titech.ac.jp/sc17