Fujitsu Constructs x86 Cluster System for ICRR

January 24, 2014

TOKYO, Japan., Jan. 24 — Fujitsu today announced that it has completed construction of a new computer system for the Institute for Cosmic Ray Research (ICRR) of the University of Tokyo. This x86 cluster system, forming the backbone for ICRR’s research on cosmic rays, began operation on January 1, 2014.

The new system will store and analyze observational data on cosmic rays, which include protons, gamma rays, and neutrinos, and will be used for ICRR’s various domestic and international joint research projects in astrophysics and particle physics.

The computation server is an x86 cluster comprised of 136 FUJITSU Server PRIMERGY CX250 S2 servers, acting in tandem with a high-speed distributed file system of 33 FUJITSU Storage ETERNUS DX80 S2 units running the FEFS file system for speed, reliability, and scalability.

Integer-math performance of the computation server is rated at 96,426 using the SPECint_rate2006 benchmark, about ten times the performance of the previous system. It also boasts a file server capacity of 4.4 petabytes, which is roughly 3.2 times more capacity than the previous system, and has a data-transfer speed of 18 GB/s, an approximately 30-fold improvement.

This Fujitsu system will support the KAGRA Project and contribute to advances in other cutting-edge research in astrophysics and particle physics.

ICRR installed its first x86 cluster system in January 1991 as a collaborative research environment for multiple projects in the field of particle physics and cosmic-ray research, conducted primarily by the University of Tokyo. At locations both in and outside of Japan, ICRR has conducted research on high-energy cosmic rays, high-energy gamma rays, and neutrinos; for example, the Super-Kamiokande Project has discovered neutrino oscillations and the Tibet AS-gamma Experiment used cosmic rays to observe the sun’s cosmic-ray shadow.

Together with expanding its research in the fields of astrophysics and particle physics, ICRR plans to move forward on new experimental projects, such as the KAGRA project, which aims to detect the gravitational wave for the first time in history, and the ground-based gamma ray observatory, CTA, which is designed to help understand galactic and extragalactic very-high energy gamma-ray sources.

To meet the needs of these new projects, ICRR required a new computer system that could keep pace with dramatic growth expected in the volume of observational data and of analyses. It would be essential for the new system to boost analytical performance, have a greater storage capacity and to enhance data input and output performance.

To satisfy these requirements, the new system started with new hardware that has approximately ten times the integer-math performance of its predecessor, enough storage capacity to accommodate roughly six years’ worth of observational data in cosmic-ray research, and the FEFS scalable file system to sidestep the bottlenecks created by centralized data I/O loads, all of which result in an efficient environment that enables more accurate research.

System Overview

The new system offers two main functions: as a computation server that handles data analysis, and as a file server that stores observational data.

Computation server

An x86 cluster of 136 PRIMERGY CX250 S2 servers with up-to-date CPUs results in integer-math performance rated at 96,426 using the SPECint_rate2006 benchmark, an approximately tenfold improvement over its predecessor.

File server

With 10 FUJITSU Server PRIMERGY RX300 S7 servers and 33 ETERNUS DX80 S2 storage units, the system has 4.4 PB of storage capacity and an 18-GB/s data-transfer speed, giving it roughly 3.2 times the storage capacity of its predecessor and about 30 times the data transfer performance. The FEFS scalable file system includes functions that allow storage capacity and bandwidth to be allocated on a per-user and per-group basis, creating a research environment optimized for multiple research projects. The FEFS file system demonstrated its value in Super-Kamiokande’s system in 2011.

Additional components of the system include 12 FUJITSU Server PRIMERGY RX200 S8 servers used as a login environment for 450 ICRR researchers, a FUJITSU Storage ETERNUS NR1000 F3220 storage system with 22 TB for networked storage, 15×86 servers that provide e-mail, web, and other network services, a storage unit, and additional network switches.

Future Prospects

The new system will be used in ICRR’s projects both in and outside of Japan, and will help illuminate the mechanisms underlying ultra-high energy phenomena such as where and how high-energy cosmic rays originate and accelerate, through deeper, broader studies of the cosmos. Furthermore, inquiries into the properties of neutrinos and into dark matter particles will lead to even further advances in the study of cosmic rays and particle physics. The world’s first gravitational wave detections promise to reveal new aspects of the universe, bringing us closer to testing the theory of general relativity, and to probe the beginning of the universe.

“At ICRR, we expect to begin many new research projects. Accordingly, it is anticipated that there will be a significant increase in observational data. To handle the storage and high-speed processing of this data, we needed to upgrade the performance of our computer system. In particular, our goal was to dramatically increase the speed of data transmission, and for a high-performance, highly reliable storage system that meets these requirements, we employed the Fujitsu FEFS file system. We expect the research groups using the computer system to announce many new observational results in the future that generate new insights into hitherto unknown phenomena relating to the universe and cosmic ray particles,” said Kimihiro Okumura, Associate Professor, ICRR, University of Tokyo.

About Fujitsu Limited

Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 170,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. Fujitsu Limited reported consolidated revenues of 4.4 trillion yen (US$47 billion) for the fiscal year ended March 31, 2013 For more information, please see www.fujitsu.com.

—–

Source: Fujitsu Limited

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pressing needs and hurdles to widespread AI adoption. The sudde Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire