Fujitsu and RIKEN Take First Place Worldwide in TOP500, HPCG, and HPL-AI with Supercomputer Fugaku

June 22, 2020

TOKYO, June 22, 2020 — Fujitsu announced that Fugaku(1), a supercomputer jointly developed by RIKEN and Fujitsu, was ranked No. 1 in the 58th TOP500 list of the world’s supercomputers. Fugaku also took the No.1 position in the international ranking HPCG (High Performance Conjugate Gradient), which measure the processing speed of the conjugate gradient method(2) often used in practical applications including in the field of industry, and in the ranking of HPL-AI, which measures the performance of low-precision computing often used in AI such as deep learning.

These rankings were announced on June 22 at the ongoing virtual event ISC (International Supercomputing Conference) High Performance 2020 Digital.

Supercomputer Fugaku (in development and preparation) credit: RIKEN

The achievement of No. 1 in these three rankings indicates the overall high performance of Fugaku and demonstrates that it can sufficiently respond to the needs of Society 5.0(3) which aims to build a smart society that creates new value. Fugaku can contribute in such society as an information infrastructure technology accelerating the solution of social problems with simulation while advancing the development of AI technologies as well as technologies related to information distribution and processing.

Measurement Results of Fugaku

1. TOP500 

The Fugaku system ranked first in the TOP500 list consisted of 396 racks (152,064 nodes(4), approximately 95.6% of the entire system), and the LINPACK performance was 415.53 PFLOPS (petaflops) with the computing efficiency ratio of 80.87%. It is the first time for a Japanese supercomputer to take the first place in TOP500 since the K computer claimed No.1 in November 2011 (the 38th TOP 500 list). Fugaku’s performance is approximately 2.8 times that of the supercomputer ranked second in the TOP500 list with148.6 PFLOPS.

2. HPCG 

For this benchmark, 360 racks (138,240 nodes, approximately 87% of the entire system) of Fugaku were used to achieve the high score of 13,400 TFLOPS (teraflops). This proves that the supercomputer can efficiently handle such real-world applications in the field of industry and perform well. Moreover, Fugaku exceeds the performance of the No.2 supercomputer (2,925.75 TFLOPS) by approximately 4.6 times.

3.  HPL-AI 

Unlike the conventional listings of TOP500 and HPCG which measure the performance of double-precision arithmetic logic unit, HPL-AI is a new benchmark established in November 2019 as an index for evaluating calculation performance that takes into account the capabilities of single-precision and half-precision arithmetic logic units used in artificial intelligence. For this measurement, a high score of 1.421 EFLOPS (Exa FLOPS) was recorded using 330 racks (126,720 nodes, approximately 79.7% of the entire system) of Fugaku.

This is also a historical record, as Fugaku achieved 1 exa (10 raised to the power of 18) in one of HPL benchmarks for the first time in the world. This proves Fugaku’s capability to contribute to the advancement of Society 5.0, as a research platform for machine learning and big data analysis.

About the supercomputer benchmarks

1. TOP500 

The TOP500 list is a project that regularly ranks and evaluates the top 500 fastest supercomputer systems in the world based on LINPACK performance. Developed by Dr. Jack Dongarra of the University of Tennessee, US, to solve a system of linear equations by matrix calculation, the LINPACK program was launched in 1993 to announce the supercomputer ranking two times a year (June and November).

LINPACK measures the computing power of double-precision floating-point numbers used in many scientific and industrial applications and to get a high score on this benchmark, it is necessary to run a large-scale benchmark for a long time. In general, a high LINPACK score is said to be a comprehensive measure of computing power and reliability.

2. HPCG 

The TOP500 has long been a popular benchmark for evaluating computing power, which was an important performance indicator for solving a system of linear equations composed of a dense coefficient matrix. More than 20 years have passed since the project was launched in 1993, and recently it has been pointed out that the performance requirements of actual applications are not met, and the time required for benchmark testing is prolonged.

Accordingly, Dr. Dongarra et al. proposed a new benchmark program, HPCG, that uses the conjugate gradient method to solve a system of linear equations composed of a sparse coefficient matrix, which are often used in industrial applications. Following the announcement of measurements on the world’s leading 15 supercomputer systems at ISC 2014 in June, the official ranking was announced at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC14) held in New Orleans, US, in November.

3.  HPL-AI 

The TOP500 and HPCG have ranked supercomputers in terms of computational performance for solving a system of linear equations. In both cases, it was stipulated in the rules that only double precision arithmetic (16-digit floating point number in 10), which has been widely used in scientific and technological calculations as well as industrial applications, should be used for calculations.

In recent years, more computers, equipped with GPUs or AI dedicated chips, are adding a large number of low-precision arithmetic logic units (5 or 10 digits in 10) to increase their performance. Since these high-performance computing capabilities are not reflected in the TOP500 list, Dr. Dongarra et al. improved the LINPACK benchmark by allowing the use of low precision calculations and proposed a new benchmark, HPL-AI, in November 2019.

HPL-AI allows LINPACK to perform low-precision computations when solving a system of linear equations using LU decomposition(5). However, since the calculation accuracy is inferior to that of double precision calculation, it is required to obtain the same accuracy as double precision calculation by a technique called iterative refinement(6). In other words, it’s a two-step benchmark. As the HPL-AI rules were issued in November 2019, this is the first announcement of the benchmark ranking.

Satoshi Matsuoka, Director, Riken-Center for Computational Science (R-CCS), said “Ten years after the initial concept was proposed, and six years after the official start of the project, Fugaku is now near completion. Fugaku was developed based on the idea of achieving high performance on a variety of applications of great public interest, such as the achievement of Society 5.0, and we are very happy that it has shown itself to be outstanding on all the major supercomputer benchmarks. In addition to its use as a supercomputer, I hope that the leading-edge IT technology developed for it will contribute to major advances on difficult social challenges such as COVID-19.”

Naoki Shinjo, Corporate Executive Officer, Fujitsu Limited, said, “I believe that our decision to use a co-design process for Fugaku, which involved working with RIKEN and other parties to create the system, was a key to our winning the top position on a number of rankings. I am particularly proud that we were able to do this just one month after the delivery of the system was finished, even during the COVID-19 crisis. I would like to express our sincere gratitude to RIKEN and all the other parties for their generous cooperation and support. I very much hope that Fugaku will show itself to be highly effective in real-world applications and will help to make Society 5.0 a reality.”

Rene Haas, President, IPG, Arm, said “The Fugaku supercomputer illustrates a dramatic shift in the type of compute that has been traditionally used in these powerful machines, and it is proof of the innovation that can happen with flexible computing solutions driven by a strong ecosystem. For Arm, this achievement showcases the power efficiency, performance and scalability of our compute platform, which spans from smartphones to the world’s fastest supercomputer. We congratulate RIKEN and Fujitsu for challenging the status quo and showing the world what is possible in Arm-based high-performance computing.”

  • [1] Supercomputer Fugaku

Succeeding supercomputer K, Fugaku aims to contribute to Japan’s growth and produce world-leading results by solving social and scientific issues in the 2020s. Under the flagship 2020 project of the Ministry of Education, Culture, Sports, Science and Technology (the development of post-K) initiated in fiscal 2014, RIKEN Computational Science and Research Center has developed Fugaku which is planned to start public service in fiscal 2021 (starting in April 2021).

  • [2] Conjugate gradient method

When a physical phenomenon is simulated by a computer, it is often solved as a large-scale system of linear equations. There are two methods for solving a system of linear equations: a direct method for directly obtaining a solution, and an iterative method for converging to a correct solution through iterative calculation. The conjugate gradient method is one of the iterative methods, and by combining the preprocessing, the correct solution can be converged quickly. It is often used in the world of computer simulation.

  • [3] Society 5.0

As first introduced in the Fifth Science and Technology Basic Plan, this is a proposal for “a human-centered society that achieves both economic development and the resolution of social issues through a highly integrated system of cyberspace (virtual space) and physical space (real space),” indicating the future society that Japan should aim for.

  • [4] Nodes

 The smallest unit of supercomputer’s computing resource that an operating system can run. One node of Fugaku consists of 1 CPU (central processing unit) and 32 GiB of memory.

  • [5] LU decomposition

A method of solving a system of linear equations. This method is called the LU decomposition method because the matrix is decomposed into the product of the lower triangular matrix (Lower-triangular matrix) and the upper triangular matrix (Upper Triangular Matrix) in the middle of the solution.

  • [6] Iterative improvement

An approximate solution of a system of linear equations by methods such as LU decomposition contains errors with the true solution. This is a method of solving a system of linear equations (using the errors) again and obtaining a solution closer to the true solution by correcting the approximate solution.

About Fujitsu

Fujitsu is the leading Japanese information and communication technology (ICT) company offering a full range of technology products, solutions and services. Approximately 130,000 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 (TSE:6702) reported consolidated revenues of 3.9 trillion yen (US$35 billion) for the fiscal year ended March 31, 2020. For more information, please see www.fujitsu.com.


Source: Fujitsu

Subscribe to HPCwire's Weekly Update!

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

University of Chicago Researchers Generate First Computational Model of Entire SARS-CoV-2 Virus

January 15, 2021

Over the course of the last year, many detailed computational models of SARS-CoV-2 have been produced with the help of supercomputers, but those models have largely focused on critical elements of the virus, such as its Read more…

By Oliver Peckham

Pat Gelsinger Returns to Intel as CEO

January 14, 2021

The Intel board of directors has appointed a new CEO. Intel alum Pat Gelsinger is leaving his post as CEO of VMware to rejoin the company that he parted ways with 11 years ago. Gelsinger will succeed Bob Swan, who will remain CEO until Feb. 15. Gelsinger previously spent 30 years... Read more…

By Tiffany Trader

Roar Supercomputer to Support Naval Aircraft Research

January 14, 2021

One might not think “aircraft” when picturing the U.S. Navy, but the military branch actually has thousands of aircraft currently in service – and now, supercomputing will help future naval aircraft operate faster, Read more…

By Staff report

DOE and NOAA Extend Computing Partnership, Plan for New Supercomputer

January 14, 2021

The National Climate-Computing Research Center (NCRC), hosted by Oak Ridge National Laboratory (ORNL), has been supporting the climate research of the National Oceanic and Atmospheric Administration (NOAA) for the last 1 Read more…

By Oliver Peckham

Using Micro-Combs, Researchers Demonstrate World’s Fastest Optical Neuromorphic Processor for AI

January 13, 2021

Neuromorphic computing, which uses chips that mimic the behavior of the human brain using virtual “neurons,” is growing in popularity thanks to high-profile efforts from Intel and others. Now, a team of researchers l Read more…

By Oliver Peckham

AWS Solution Channel

Now Available – Amazon EC2 C6gn Instances with 100 Gbps Networking

Amazon EC2 C6gn instances powered by AWS Graviton2 processors are now available!

Compared to C6g instances, this new instance type provides 4x higher network bandwidth, 4x higher packet processing performance, and 2x higher EBS bandwidth. Read more…

Intel® HPC + AI Pavilion

Intel Keynote Address

Intel is the foundation of HPC – from the workstation to the cloud to the backbone of the Top500. At SC20, Intel’s Trish Damkroger, VP and GM of high performance computing, addresses the audience to show how Intel and its partners are building the future of HPC today, through hardware and software technologies that accelerate the broad deployment of advanced HPC systems. Read more…

Honing In on AI, US Launches National Artificial Intelligence Initiative Office

January 13, 2021

To drive American leadership in the field of AI into the future, the National Artificial Intelligence Initiative Office has been launched by the White House Office of Science and Technology Policy (OSTP). The new agen Read more…

By Todd R. Weiss

Pat Gelsinger Returns to Intel as CEO

January 14, 2021

The Intel board of directors has appointed a new CEO. Intel alum Pat Gelsinger is leaving his post as CEO of VMware to rejoin the company that he parted ways with 11 years ago. Gelsinger will succeed Bob Swan, who will remain CEO until Feb. 15. Gelsinger previously spent 30 years... Read more…

By Tiffany Trader

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

By John Russell

Intel ‘Ice Lake’ Server Chips in Production, Set for Volume Ramp This Quarter

January 12, 2021

Intel Corp. used this week’s virtual CES 2021 event to reassert its dominance of the datacenter with the formal roll out of its next-generation server chip, the 10nm Xeon Scalable processor that targets AI and HPC workloads. The third-generation “Ice Lake” family... Read more…

By George Leopold

Researchers Say It Won’t Be Possible to Control Superintelligent AI

January 11, 2021

Worries about out-of-control AI aren’t new. Many prominent figures have suggested caution when unleashing AI. One quote that keeps cropping up is (roughly) th Read more…

By John Russell

AMD Files Patent on New GPU Chiplet Approach

January 5, 2021

Advanced Micro Devices is accelerating the GPU chiplet race with the release of a U.S. patent application for a device that incorporates high-bandwidth intercon Read more…

By George Leopold

Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

January 5, 2021

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task. Chandrasekaran, assistant professor of computer and information sciences, recently was named... Read more…

By Tracey Bryant

Intel Touts Optane Performance, Teases Next-gen “Crow Pass”

January 5, 2021

Competition to leverage new memory and storage hardware with new or improved software to create better storage/memory schemes has steadily gathered steam during Read more…

By John Russell

Farewell 2020: Bleak, Yes. But a Lot of Good Happened Too

December 30, 2020

Here on the cusp of the new year, the catchphrase ‘2020 hindsight’ has a distinctly different feel. Good riddance, yes. But also proof of science’s power Read more…

By John Russell

Esperanto Unveils ML Chip with Nearly 1,100 RISC-V Cores

December 8, 2020

At the RISC-V Summit today, Art Swift, CEO of Esperanto Technologies, announced a new, RISC-V based chip aimed at machine learning and containing nearly 1,100 low-power cores based on the open-source RISC-V architecture. Esperanto Technologies, headquartered in... Read more…

By Oliver Peckham

Azure Scaled to Record 86,400 Cores for Molecular Dynamics

November 20, 2020

A new record for HPC scaling on the public cloud has been achieved on Microsoft Azure. Led by Dr. Jer-Ming Chia, the cloud provider partnered with the Beckman I Read more…

By Oliver Peckham

Google Hires Longtime Intel Exec Bill Magro to Lead HPC Strategy

September 18, 2020

In a sign of the times, another prominent HPCer has made a move to a hyperscaler. Longtime Intel executive Bill Magro joined Google as chief technologist for hi Read more…

By Tiffany Trader

NICS Unleashes ‘Kraken’ Supercomputer

April 4, 2008

A Cray XT4 supercomputer, dubbed Kraken, is scheduled to come online in mid-summer at the National Institute for Computational Sciences (NICS). The soon-to-be petascale system, and the resulting NICS organization, are the result of an NSF Track II award of $65 million to the University of Tennessee and its partners to provide next-generation supercomputing for the nation's science community. Read more…

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Aurora’s Troubles Move Frontier into Pole Exascale Position

October 1, 2020

Intel’s 7nm node delay has raised questions about the status of the Aurora supercomputer that was scheduled to be stood up at Argonne National Laboratory next year. Aurora was in the running to be the United States’ first exascale supercomputer although it was on a contemporaneous timeline with... Read more…

By Tiffany Trader

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

By John Russell

Leading Solution Providers

Contributors

Programming the Soon-to-Be World’s Fastest Supercomputer, Frontier

January 5, 2021

What’s it like designing an app for the world’s fastest supercomputer, set to come online in the United States in 2021? The University of Delaware’s Sunita Chandrasekaran is leading an elite international team in just that task. Chandrasekaran, assistant professor of computer and information sciences, recently was named... Read more…

By Tracey Bryant

European Commission Declares €8 Billion Investment in Supercomputing

September 18, 2020

Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…

By Oliver Peckham

Top500: Fugaku Keeps Crown, Nvidia’s Selene Climbs to #5

November 16, 2020

With the publication of the 56th Top500 list today from SC20's virtual proceedings, Japan's Fugaku supercomputer – now fully deployed – notches another win, Read more…

By Tiffany Trader

Texas A&M Announces Flagship ‘Grace’ Supercomputer

November 9, 2020

Texas A&M University has announced its next flagship system: Grace. The new supercomputer, named for legendary programming pioneer Grace Hopper, is replacing the Ada system (itself named for mathematician Ada Lovelace) as the primary workhorse for Texas A&M’s High Performance Research Computing (HPRC). Read more…

By Oliver Peckham

At Oak Ridge, ‘End of Life’ Sometimes Isn’t

October 31, 2020

Sometimes, the old dog actually does go live on a farm. HPC systems are often cursed with short lifespans, as they are continually supplanted by the latest and Read more…

By Oliver Peckham

Nvidia and EuroHPC Team for Four Supercomputers, Including Massive ‘Leonardo’ System

October 15, 2020

The EuroHPC Joint Undertaking (JU) serves as Europe’s concerted supercomputing play, currently comprising 32 member states and billions of euros in funding. I Read more…

By Oliver Peckham

Gordon Bell Special Prize Goes to Massive SARS-CoV-2 Simulations

November 19, 2020

2020 has proven a harrowing year – but it has produced remarkable heroes. To that end, this year, the Association for Computing Machinery (ACM) introduced the Read more…

By Oliver Peckham

Nvidia-Arm Deal a Boon for RISC-V?

October 26, 2020

The $40 billion blockbuster acquisition deal that will bring chipmaker Arm into the Nvidia corporate family could provide a boost for the competing RISC-V architecture. As regulators in the U.S., China and the European Union begin scrutinizing the impact of the blockbuster deal on semiconductor industry competition and innovation, the deal has at the very least... Read more…

By George Leopold

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This