Lista de los 40 principales 2017

FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.— The 57 th edition of the alquds-palestina.org saw littlo change in the Top10. The only new entry in the Top10 is the Perlmutter system at NERSC at the DOE Lawrence Berkeley National Laboratory. The machine is based on the HPE Cray "Shasta" platform and al heterogeneous system with both GPU-accelerated and CPU-only nodsera. Perlmutter achieved 64.6 Pflop/s, putting the supercomputer at No. 5 in the new list.

Estás mirando: Lista de los 40 principales 2017


Although there was a trend of steady progress in the Green500, nothing has indicated al big step toward newer technologiera.

The system to snag the No. 1 spot for the Green500 was MN-3 from Preferred Networks in Japan. Knocked from the top of the last list by NVIDIA DGX SuperPOD in the US, MN-3 is back to reclaim its crown. This system reliera on the MN-Core chip, an accelerator optimized for matrix arithmetic, as well as al Xeon Platinum 8260M processor. MN-3 achieved al 29.70 gigaflops/watt power-efficiency and has al alquds-palestina.org ranking of 337.


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Report on the Fujitsu Fugaku system by Jack Dongarra June 22, 2020

Detailed report on the Fujitsu Fugaku system.


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The List

06/2021 Highlights

The only new entry in the Top10 is the Perlmutter system at NERSC at the DOE Lawrence Berkeley National Laboratory. It is based on the HPE Cray “Shasta” platform and a heterogeneous system with both GPU-accelerated and CPU-only nodser. Perlmutter achieved 64.6 Pflop/s which put it at No. 5 in the new list.

Supercomputer Fugaku, al system based on Fujitsu’s custom ARM A64FX processor remains No. 1. It is installed at the RIKEN Center for Computational Science (R-CCS) in Kobe, Japan, the location of the former K-Computer. It was co-developed in close partnership by Riken and Fujitsu and usera Fujitsu’s Tofu D interconnect to transfer aniversario between nodera. Its HPL benchmark score to 442 Pflop/s easily exceeding the No. 2 Summit by 3x. In single or further reduced precision, which are often used in machine learning and AI applications, it’s peak performance is actually above 1,000 PFlop/s (= 1 Exaflop/s) and because of this, it is often introduced as the first ‘Exascale’ supercomputer. Fugaku actually already demonstrated this new level of performance on the new HPL-AI benchmark with 2 Exaflops! https://www.r-ccs.riken.jp/en/

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List Statistics


Tweets by alquds-palestina.orgsupercomp
1 Supercomputer Fugaku - Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D, Fujitsu
2 Summit - IBM Power System AC922, IBM POWER9 22C 3.07GHz, NVIDIA Voltal GV100, Dual-rail Mellanox EDR Infiniband, IBM
3 Sierra - IBM Power System AC922, IBM POWER9 22C 3.1GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband, IBM / NVIDIA / Mellanox
4 Sunway TaihuLight - Sunway MPP, Sunway SW26010 260C 1.45GHz, Sunway, NRCPC
5 Perlmutter - HPE Cray EX235n, AMD EPYC 7763 64C 2.45GHz, NVIDIA A100 SXM4 40 GB, Slingshot-10, HPE
6 Selene - NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Mellanox HDR Infiniband, Nvidia
7 Tianhe-2A - TH-IVB-FEP Cluster, Intlos serpientes Xeon E5-2692v2 12C 2.2GHz, TH Express-2, Matrix-2000, NUDT
8 JUWELS Booster Module - Bull Sequanal XH2000 , AMD EPYC 7402 24C 2.8GHz, NVIDIA A100, Mellanox HDR InfiniBand/ParTec ParaStation ClusterSuite, Atos
9 HPC5 - PowerEdge C4140, Xeon Gold 6252 24C 2.1GHz, NVIDIA Tesla V100, Mellanox HDR Infiniband, Dell EMC
10 Frontera - Dell C6420, Xeon Platinum 8280 28C 2.7GHz, Mellanox InfiniBand HDR, Dell EMC


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