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Fugaku (supercomputer)

From Wikipedia, the free encyclopedia
Japanese supercomputer
For other uses, seeFugaku.
Fugaku
ActiveFrom 2021
SponsorsMEXT
OperatorsRiken
LocationRiken Center for Computational Science (R-CCS)
Architecture
Operating systemCustomLinux-based kernel
MemoryHBM2 32 GiB/node
Storage
  • 1.6 TBNVMeSSD/16 nodes (L1)
  • 150 PB sharedLustre FS (L2)[1]
  • Cloud storage services (L3)
Speed442 PFLOPS (perTOP500 Rmax), after upgrade; higher 2.0 EFLOPS on a different mixed-precision benchmark
CostUS$1 billion (total programme cost)[2][3]
RankingTOP500: No. 4,June 2024
PurposeScientific research
LegacyTOP500 No.1, June 2020 – June 2022
Websitewww.r-ccs.riken.jp/en/fugaku
SourcesFugaku System Configuration
PRIMEHPC FX1000 (Fugaku node) atSC19

Fugaku(Japanese:富岳) is apetascalesupercomputer at theRiken Center for Computational Science inKobe,Japan. It started development in 2014 as the successor to theK computer[4] and made its debut in 2020. It is named after an alternative name forMount Fuji.[5]

It became the fastest supercomputer in the world in the June 2020TOP500 list[6] as well as becoming the firstARM architecture-based computer to achieve this.[7] At this time it also achieved 1.42 exaFLOPS using the mixed fp16/fp64 precision HPL-AI benchmark. It started regular operations in 2021.[8]

Fugaku was superseded as the fastest supercomputer in the world byFrontier in May 2022.[9]

Hardware

[edit]

The supercomputer is built with theFujitsu A64FX microprocessor. This CPU is based on theARMversion 8.2A processor architecture, and adopts theScalable Vector Extensions for supercomputers.[10] Fugaku was aimed to be about 100 times more powerful than theK computer (i.e. a performance target of1 exaFLOPS).[11][12]

The initial (June 2020) configuration of Fugaku used 158,976 A64FX CPUs joined using Fujitsu's proprietarytorus fusion interconnect.[7] An upgrade in November 2020 increased the number of processors.[13]

Software

[edit]

Fugaku uses a "light-weight multi-kernel operating system" namedIHK/McKernel. The operating system uses bothLinux and the McKernel light-weightkernel operating simultaneously and side by side. The infrastructure that both kernels run on is termed theInterface for Heterogeneous Kernels (IHK). The high-performance simulations are run on McKernel, with Linux available for all otherPOSIX-compatible services.[14][15][16]

Fugaku uses a three-tiered storage system to provide parallel storage to the compute nodes. The first-level LLIO storage is an NVM-based file I/O accelerator co-developed by Fujitsu and RIKEN that is allocated on per-job storage basis to the compute nodes for storing temporary data with low latency. The LLIO system stages data in and out of a second-level Fujitsu Exascale File System (FEFS), which uses disk-based storage based onLustre software to provide a large persistent high-performance filesystem,[17][18] and a tape-based archive to store a large volume of infrequently accessed data.

Besides the system software, the supercomputer has run many kinds of applications, including several benchmarks. Running the mainstreamHPL benchmark, used byTOP500, Fugaku is at petascale and almost halfway to exascale. Additionally, Fugaku has set world records on at least three other benchmarks, includingHPL-AI; at 2.0 exaflops, the system has exceeded the exascale threshold for the benchmark.[19] A description of that benchmark is as follows:

The solver method of choice is a combination ofLU factorization and iterative refinement performed afterwards to bring the solution back to 64-bit accuracy. The innovation of HPL-AI lies in dropping the requirement of 64-bit computation throughout the entire solution process and instead opting for low-precision (likely 16-bit) accuracy for LU, and a sophisticated iteration to recover the accuracy lost in factorization.[20]

Performance

[edit]

The reported initial performance of Fugaku was aRmax of 416 petaFLOPS in theFP64high performance LINPACK benchmark used by the TOP500.[7] After the November 2020 upgrade in the number of processors, Fugaku's performance increased to a Rmax of 442 petaFLOPS.[13]

In 2020, Fugaku also attained top spots in other rankings that test computers on different workloads, includingGraph500, HPL-AI, andHPCG benchmark. No previous supercomputer has ever led all four rankings at once.[21]

After a hardware upgrade, as of November 2020, "Fugaku increased its performance on the new mixed precisionHPC-AI benchmark to 2.0 exaflops, besting its 1.4 exaflops mark recorded six months ago. These represent the first benchmark measurements above one exaflop for any precision on any type of hardware." (a 42% increase)[22] Interestingly, the Arm A64FX core-count was only increased by 4.5%, to 7,630,848, but the measured performance rose much more on that benchmark (and the system does not use other compute capabilities, such asGPUs), and a little more on TOP500, or by 6.4%, to 442 petaflops, a new world record[23] and widening the gap to the next computer by that much. For the HPCG benchmark, it is 5.4 times faster, at 16.0 HPCG-petaflops, than the number two system,Summit,[24] which happens to also be second on TOP500.

As of November 2020, Fugaku's performance surpassed the combined performance of the next 4 supercomputers on the TOP500 list, and surpassed the remaining top-10 computers on the HPCG benchmark by a margin of 45%.[25]

History

[edit]

On May 23, 2019, Riken announced that the supercomputer was to be named Fugaku.[26] In August 2019, the logo for Fugaku was unveiled; it depictsMount Fuji, symbolising "Fugaku's high performance" and "the wide range of its users".[4][27] In November 2019, the prototype of Fugaku won first place in theGreen500 list.[28][29] Shipment of the equipment racks to the Riken facility began on December 2, 2019,[30] and was completed on May 13, 2020.[31] In June 2020, Fugaku became the fastest supercomputer in the world in the TOP500 list, displacing the IBM Summit.[7]

Fugaku has been used for research on masks related to theCOVID-19 pandemic.[32][33]

In 2023, Fugaku has been used to develop Japanese language Generative AI Models by theTokyo Institute of Technology, Riken Research Institute,Fujitsu Ltd andTohoku University.[34]

Cost

[edit]

In 2018, Nikkei reported the programme would cost¥130 billion (c. US$1 billion).[3][8]

Comparison

[edit]
Performance and cost comparison chart against computers ranked #1 in TOP500
NameStart yearEnd yearPerformance
(PFLOPS)[note 1]
Cost
(million USD)

(not inflation adjusted)

TOP500 rankingCPU/GPU vendorCPUOS
Fugaku2020442[35]1213[3][note 2]June 2020 to November 2021 1st[35]FujitsuA64FXLinux (RedHat 8) and McKernel
Summit2018148300[36]June 2018 to November 2019 1stIBM,NvidiaPOWER9,TeslaLinux (RedHat)
Sierra201894November 2018 to November 2019 2nd
Sunway TaihuLight201693280[37]June 2016 to November 2017 1stNRCPCSunway SW26010Linux (Raise)
K20112019101045[38]June 2011 – November 2011 1stFujitsuSPARC64 VIIIfxLinux
  1. ^This is based on theTOP500 Rmax measurement using theLINPACK benchmark atFP64 precision.
  2. ^This is the total programme cost involving the creation of the technologies, rather than just for the machine.

See also

[edit]

References

[edit]
  1. ^"Post-K (Fugaku) Information". Fujitsu. Archived fromthe original on 2020-06-08. Retrieved2020-06-23.
  2. ^Clark, Don (22 June 2020)."Japanese Supercomputer Is Crowned World's Speediest".The New York Times. Retrieved26 June 2020.
  3. ^abcTakei, Tomohisa (14 September 2018)."お値段1300億円のポスト「京」、IT業界は今度こそ生かせるか".日経クロステック(xTECH) (in Japanese). Nikkei. Retrieved28 June 2020.
  4. ^ab"スーパーコンピュータ「富岳」プロジェクト" (in Japanese). 理化学研究所. Retrieved2019-05-25.
  5. ^"Supercomputer Fugaku, named after Mt. Fuji, makes its debut".The Asahi Shimbun. 2020-06-16. Retrieved2020-06-23.
  6. ^"Japan's Fugaku gains title as world's fastest supercomputer" (Press release). www.riken.jp. Retrieved2020-12-07.
  7. ^abcdCutress, Dr Ian (22 June 2020)."New #1 Supercomputer: Fujitsu's Fugaku and A64FX take Arm to the Top with 415 PetaFLOPs".www.anandtech.com. Retrieved22 June 2020.
  8. ^abTsukimori, Osamu (7 January 2021)."Japan's Fugaku supercomputer is tackling some of the world's biggest problems".The Japan Times. Retrieved26 January 2021.
  9. ^"ORNL's Frontier First to Break the Exaflop Ceiling".Top500. 30 May 2022. Retrieved2022-05-30.
  10. ^"ポスト「京」のCPUの仕様を公表" (in Japanese). 富士通. 2018-08-22. Retrieved2019-05-25.
  11. ^"スパコン「京」後継機は「富岳」 計算性能100倍、21年稼働".毎日新聞 (in Japanese). 2019-05-23. Retrieved2019-05-30.
  12. ^"Fugaku Remakes Exascale Computing In Its Own Image". 2019-12-09. Retrieved2020-06-22.
  13. ^ab"November 2020 summary – TOP500".www.top500.org. Retrieved7 December 2020.
  14. ^"Outline of the Development of the Supercomputer Fugaku". Riken Center for Computational Science. Archived fromthe original on 2021-01-23. Retrieved2020-06-23.
  15. ^"McKernel". Riken. Archived fromthe original on 2020-06-23. Retrieved2020-06-23.
  16. ^mckernel onGitHub
  17. ^"Supercomputer Fugaku"(PDF). Fujitsu.
  18. ^"Fugaku Codesign Report"(PDF). RIKEN Center for Computational Science.
  19. ^"Fugaku Retains Title as World's Fastest Supercomputer".HPC Wire. 17 November 2020. Retrieved27 November 2020.
  20. ^"HPL-AI Mixed-Precision Benchmark — HPL-AI 0.0.2 documentation".icl.bitbucket.io. Retrieved2020-11-18.
  21. ^Byford, Sam (2020-06-23)."ARM-based Japanese supercomputer is now the fastest in the world".The Verge. Retrieved2020-06-23.
  22. ^"November 2020 | TOP500".www.top500.org. Retrieved2020-11-18.
  23. ^"Supercomputer Fugaku – Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D | TOP500".www.top500.org. Retrieved2020-11-18.
  24. ^"HPCG – November 2020 | TOP500".www.top500.org. Archived fromthe original on 2021-05-06. Retrieved2020-11-18.
  25. ^"HPCG – November 2020 | TOP500".www.top500.org. Archived fromthe original on 2021-05-06. Retrieved2020-12-01.
  26. ^"ポスト「京」の名称 「富岳(ふがく)」に決定" (in Japanese). 理化学研究所. 2019-05-23. Retrieved2019-05-25.
  27. ^"R-CCS announced the Fugaku logo | Riken Center for Computational Science Riken Website".www.r-ccs.riken.jp. Riken Center for Computational Science. Retrieved23 June 2020.
  28. ^"November 2019". TOP500.org. Retrieved2019-11-20.
  29. ^"Fugaku prototype named greenest supercomputer". Riken. 2019-11-18. Retrieved2019-11-20.
  30. ^"Fujitsu Begins Shipping Supercomputer Fugaku". Fujitsu. 2019-12-02. Retrieved2020-06-23.
  31. ^"Delivery of the Supercomputer Fugaku has been Completed". Riken Center for Computational Science. 2020-05-13. Retrieved2020-06-23.
  32. ^McCurry, Justin (26 August 2020)."Non-woven masks better to stop Covid-19, says Japanese supercomputer".The Guardian. Retrieved22 September 2020.
  33. ^McCurry, Justin (22 September 2020)."Face shields ineffective at trapping aerosols, says Japanese supercomputer".The Guardian. Retrieved22 September 2020.
  34. ^"Fugaku Supercomputer to Train AI in Japanese Language Models".The Japan News. 2023-05-23.
  35. ^ab"TOP500 November 2021".Top500. June 2021. Retrieved2021-11-16.
  36. ^Shankland, Stephen (2018-06-26)."スパコン「TOP500」、IBM製「Summit」で米が中国を抜き首位に返り咲き" (in Japanese). ZDNet Japan. Retrieved2020-10-28.
  37. ^伊本貴士 (2020-06-24)."頂上極めた「富岳」の次の挑戦、日本が強い分野の開発に生かせるか" (in Japanese). 日経クロステック. Retrieved2020-10-28.
  38. ^田中誠士 (2019-08-05)."「2位じゃダメ」のスパコン京、見納め 6年超す長寿で" (in Japanese). 朝日新聞デジタル. Retrieved2020-10-28.

External links

[edit]


Records
Preceded by
IBM Summit
148.6 petaFLOPS
World's most powerful supercomputer
June 2020 – May 2022
0.54 exaFLOPS
Succeeded by
HPE Frontier
1.1 exaFLOPS
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  • 1Now integrated into other Fujitsu divisions or business groupings
  • 2Now wholly owned
  • 3Sold
  • 4Spun off
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