Monday, June 20th, 2016 - NewsMaker

New System Extends Existing Computing Resources to Manage Increased Data Analysis and Machine Learning Demands

FRANKFURT, GERMANY and TOKYO, JAPAN -- (Marketwired) -- Jun 20, 2016 -- SGI Japan, Ltd., part of Silicon Graphics International Corp., SGI (NASDAQ: SGI), a global leader in high-performance solutions for compute, data analytics and data management, announced the University of Tokyo has chosen SGI®, through a competitive bid, to perform advanced data analysis and simulation within its Information Technology Center. The center is one of Japan's major research and educational institutions for building, applying, and utilizing large computer systems. The new SGI system will be in operation beginning July 1, 2016.

The University of Tokyo's Information Technology Center (ITC/UTokyo) serves as a hub for the Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (JHPCN), a consortium of supercomputer centers across eight leading universities. ITC/UTokyo provides more than 2,000 users inside and outside the university with access to supercomputing systems in scientific fields including engineering, earth sciences, space physics and material science. With increasing demands on its existing supercomputers for traditional scientific computing and big data analysis, ITC/UTokyo decided to invest in a more powerful SGI integrated supercomputer system for data analysis and simulation research projects in the areas such as medical science, biology, bioinformatics and image processing. In addition, the new system will function as a test environment for a future supercomputer system which will further research in machine learning, artificial intelligence and other complex areas of study.

The SGI air-cooled system consists of 540 general computing and accelerated computing nodes. The storage system contains a parallel file system with active storage of 5.04 petabytes and a fast file cache system of 209 terabytes. The system utilizes the high-speed interconnection technology, InfiniBand EDR 4x, to connect each node at 100 Gbps or faster.

Both types of computing nodes are equipped with the latest Intel® Xeon® E5-2695 v4 processors. In addition, each accelerated computing node is equipped with two NVIDIA® Tesla P100 GPU accelerators. By efficiently combining nodes equipped with the latest CPUs and those equipped with the latest GPUs, a compact system of 540 nodes achieves high performance of up to approximately 1.9 petaflops (PFLOPS).

Announcement Highlights

  • The University of Tokyo has chosen an SGI® supercomputer to perform advanced data analysis and simulation within its Information Technology Center.
  • The University's Information Technology Center is one of Japan's major research and educational institutions for building, applying and utilizing large computer systems.
  • Providing access to more than 2,000 researchers, the SGI supercomputer will be used for research in engineering, earth sciences, space physics and material science.
  • Consisting of 540 general computing and accelerated computing nodes, the SGI supercomputer is equipped with the latest Intel® Xeon® E5-2695 v4 processors and 240 NVIDIA Tesla P100 GPU accelerators achieving high performance of up to approximately 1.9 petaflops (PFLOPS).

Technical Information

  • The SGI Rackable system includes Intel® Xeon® E5-2695 v4 processors and NVIDIA Tesla P100 GPU accelerators.
  • The system contains a total of 540 nodes achieving performance up to 1.9 petaflops - 420 general computing and 120 accelerated computing nodes.
  • Included in the system is a parallel file system with 5.04 petabytes of storage and a fast cache system of 209 terabytes.
  • InfiniBand EDR 4x is used to interconnect each node at 100 Gbps or faster.

Supporting Quotes
"The SGI integrated supercomputer system for data analysis and simulation will support the needs of scientists in new fields such as genome analysis and deep learning in addition to scientists in traditional areas of computational science," said Professor Hiroshi Nakamura, director of Information Technology Center, the University of Tokyo. "The new system will further ongoing research and contribute to the development of new academic fields that combine data analysis and computational science."

"We are proud that the University of Tokyo's Information Technology Center selected the SGI supercomputer for data analysis and simulation," said Gabriel Broner, vice president and general manager of HPC, SGI. "Working together with the university, we will provide top scientists in Japan with a large-scale information infrastructure based on the most advanced technologies in the industry."

Suggested Tweets

  • University of Tokyo chose new @sgi_corp air-cooled supercomputer for data analysis and simulation #HPC
  • Univ of Tokyo selects @sgi_corp to power the future of AI w/ @intel E5 v4 processors and @nvidia accelerators. #HPC
  • New @sgi_corp Supercomputer will help University of Tokyo improve both performance and capacity for research in bioinformatics. #HPC

About SGI
SGI is a global leader in high-performance solutions for compute, data analytics and data management that enable customers to accelerate time to discovery, innovation, and profitability. Visit sgi.com (sgi.com/) for more information.

Connect with SGI on Twitter (@sgi_corp), YouTube (youtube.com/sgicorp),
Facebook (facebook.com/sgiglobal) and LinkedIn (linkedin.com/company/sgi).

© 2016 Silicon Graphics International Corp. All rights reserved. SGI, the SGI logo, Rackable are trademarks or registered trademarks of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. Intel and Xeon are trademarks or registered trademarks of Intel Corporation. NVIDIA is a registered trademark of NVIDIA Corporation in the U.S. and other countries. All other product and service names mentioned are the trademarks of their respective companies.

Grayling Public Relations 
Alan Auyeung 
(415) 593-1400 
[email protected]

SGI Investor Relations 
Ben Liao 
(669) 900-8090 
[email protected] 


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Keywords

SGI Supercomputer University Tokyo Studies Artificial Intelligence Bioinformatics

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