November 15, 2022
RIKEN
Fujitsu Limited
-Demonstration of comprehensive world-leading performance as HPC infrastructure for realizing Society 5.0-
Developed jointly by RIKEN (Riken) and Fujitsu Limited (Fujitsu) and started sharing from March 2021Supercomputer “Fugaku”[1]is a performance ranking of supercomputers in the world, and is often used in actual applications such as industrial use.conjugate gradient method[2]For the 6th consecutive year, it was ranked No. 1 in the world for the processing speed of HPCG (High Performance Conjugate Gradient).
In the TOP500, “Frontier” (U.S.A.) ranked first and “Fugaku” ranked second. In addition, in the performance benchmark “HPL-AI” for single-precision and half-precision arithmetic processing, which is mainly used in deep learning of artificial intelligence (AI), “Frontier” (USA) ranked first and “Fugaku” ranked third. did.
These rankings were announced in November at SC22, an international conference on HPC (High Performance Computing) currently being held at the Kay Bailey Hutchison Convention Center Dallas in Dallas, Texas, USA and online. It was announced on the 14th (November 15th Japan time).
The 1st place in HPCG for the sixth consecutive term, the 2nd place in the TOP500, and the 3rd place in HPL-AI continue to demonstrate Fugaku’s world-leading overall performance. Aiming to realize a super smart society that creates new valueSociety 5.0[3]In , we will demonstrate that Fugaku can fully demonstrate the role of HPC infrastructure for solving social issues by simulation, developing AI, and accelerating technological development related to information distribution and processing.
Supercomputer “Fugaku”
For the HPCG measurements, 432 cabinets of Fugaku (158,976node[4]), it achieved a high benchmark score of 16.00 PFLOPS (petaflops), and this time, “Fugaku” won the world’s No. 1 ranking for the sixth consecutive term. This result proves that “Fugaku” efficiently processes actual applications such as industrial use and exhibits high performance.
As of November 2022, the second place in the ranking of “HPCG” is “Frontier” in the United States, with a measurement result of 14.05 PFLOPS. In other words, this time, “Fugaku” has a performance difference of about 1.1 times over the second place.
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The “Fugaku” system registered in the “TOP500” list has a configuration of 432 units (158,976 nodes), and the LINPACK performance, which is a ranking index, is 442.01 PFLOPS (petaflops), and the execution efficiency is 82.3%, which is the second highest in the world. did.
As of November 2022, the world’s top ranking in the “TOP500” list is “Frontier” in the United States, with a measurement result of 1,102 PFLOPS.
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Unlike “TOP500” and “HPCG”, which measure the performance of double-precision arithmetic units, “HPL-AI” is a calculation that takes into account the abilities of single-precision and half-precision arithmetic units used in AI calculations. A benchmark established in November 2019 as an index for evaluating performance. For this measurement, 432 cabinets (158,976 nodes) of “Fugaku” were used, and a score of 2.004 EFLOPS (exaflops) was recorded, ranking third in the world.
As of November 2022, the top HPL-AI ranking is Frontier in the United States, with a measurement result of 7.9 EFLOPS.
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“TOP500” is an important performance index for solving simultaneous linear equations composed of dense coefficient matrices, and has long been popular as a benchmark mainly for evaluating computing power. However, more than 20 years have passed since the project was launched in 1993, and in recent years it has been pointed out that there is a gap between the performance requirements of actual applications and the length of time required for benchmark tests.
Therefore, Dr. Jack Dongarra et al. developed a new benchmark program “HPCG” using the conjugate gradient method, which is a computational method for solving simultaneous linear equations composed of sparse coefficient matrices, which is often used in practical applications such as industrial use. ” was proposed. After announcing measurement results of 15 major supercomputer systems in the world at ISC14 in June 2014, the official ranking was announced at SC14, an international conference on HPC held in New Orleans, USA in November of the same year.
The “TOP500” list is a project that regularly ranks and evaluates the top 500 fastest computer systems in the world, using LINPACK execution performance as an index. Launched in 1993, it publishes supercomputer rankings twice a year (June and November).
LINPACK is a program for solving simultaneous linear equations using matrix calculations developed by Dr. Jack Dongarra of the University of Tennessee in the United States. We determine the calculation speed ranking of computers by measuring the arithmetic performance of double precision floating point numbers used in many scientific calculations and industrial applications. In order to obtain a high score in this benchmark, it is necessary to measure a large-scale benchmark for a long time. Therefore, it is commonly said that a high LINPACK score is an overall indication of computational power and reliability.
“TOP500” and “HPCG” have been ranked by the computational performance of solving simultaneous linear equations. In both cases, the rules stipulated that only double-precision arithmetic (16-digit floating-point numbers in decimal notation), which has been widely used in scientific and industrial calculations, should be used for calculations. In recent years, there have been many high-performance computers equipped with processors for low-precision arithmetic (5 or 10 digits in decimal notation), which are dedicated chips for GPUs and artificial intelligence. There is a fact that these high-performance computing capabilities are not reflected in the “TOP500”, and a new benchmark “HPL-AI”, which has improved the LINPACK benchmark led by Dr. Jack Dongara and allowed to solve with low-precision arithmetic, was released in 2019. proposed in November. “HPL-AI” is LINPACK’s system of linear equations.LU decomposition[5]It is allowed to perform with low precision calculation when solving using .However, since the calculation accuracy is inferior to double precision calculation, we continue to useiterative improvement[6]We are seeking to make the accuracy equivalent to double precision calculation with a technique called. In other words, it is a benchmark consisting of a two-step computational process.
Benchmark program for HPL-AIwas developed by the RIKEN Center for Computational Sciences (R-CCS) according to the ranking rules and is open sourced and published.
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