Lista de los 40 principales 2017

FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.— The 57 th version of los alquds-palestina.org saw tiny change in los Top10. Los only nuevo entry in ns Top10 is the Perlmutter device at NERSC at ns DOE Lawrence Berkeley national Laboratory. Ns machine is based on los HPE Cray "Shasta" platform y a heterogeneous system con both GPU-accelerated y CPU-only nodes. Perlmutter completed 64.6 Pflop/s, putting ns supercomputer in ~ No. 5 in the nuevo list.

Estás mirando: Lista de los 40 principales 2017


Although there was un trend of steady development in the Green500, nothing has indicated un big action toward newer technologies.

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


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Report on ns Fujitsu Fugaku device by mujer Dongarra June 22, dos mil veinte

Detailed report on the Fujitsu Fugaku system.


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los List

06/2021 Highlights

The only new entry in los Top10 is the Perlmutter mechanism at NERSC at the DOE Lawrence Berkeley national Laboratory. That is based on the HPE Cray “Shasta” platform y a heterogeneous system with both GPU-accelerated and CPU-only nodes. Perlmutter achieved 64.6 Pflop/s which placed it in ~ No. Cinco in the nuevo list.

Supercomputer Fugaku, a system based on Fujitsu’s practice ARM A64FX processor stays No. 1. The is installed at los RIKEN centrar for Computational scientific research (R-CCS) in Kobe, Japan, ns location of ns former K-Computer. It was co-developed in close partnership by Riken y Fujitsu y uses Fujitsu’s Tofu D interconnect come transfer datos between nodes. The HPL benchmark score to cuatrocientos cuarenta y dos Pflop/s conveniently exceeding the No. Dos Summit through 3x. In single or further reduced precision, i m sorry are frequently used in maker learning and AI applications, it’s height performance is actually over 1,000 PFlop/s (= uno Exaflop/s) and because of this, that is frequently introduced as ns first ‘Exascale’ supercomputer. Fugaku actually currently demonstrated this nuevo level of power on the new HPL-AI benchmark with dos Exaflops! https://www.r-ccs.riken.jp/en/

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List Statistics


Tweets through alquds-palestina.orgsupercomp
1 no Supercomputer Fugaku rápido Supercomputer Fugaku, A64FX 48C 2.2GHz, Tofu interconnect D, Fujitsu
2 no Summit rápido IBM Power mechanism AC922, IBM POWER9 22C 3.07GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband, IBM
3 no Sierra —apoyándose IBM Power system AC922, IBM POWER9 22C 3.1GHz, NVIDIA Volta GV100, Dual-rail Mellanox EDR Infiniband, IBM / NVIDIA / Mellanox
4 no Sunway TaihuLight - Sunway MPP, Sunway SW26010 260C 1.45GHz, Sunway, no NRCPC
5 Perlmutter -papposo HPE Cray EX235n, AMD EPYC 7763 64C 2.45GHz, NVIDIA A100 SXM4 cuarenta GB, Slingshot-10, HPE
6 no Selene rápido NVIDIA DGX A100, AMD EPYC 7742 64C 2.25GHz, NVIDIA A100, Mellanox HDR Infiniband, no Nvidia
7 Tianhe-2A rápido TH-IVB-FEP Cluster, Intel Xeon E5-2692v2 12C 2.2GHz, TH Express-2, Matrix-2000, no NUDT
8 no JUWELS Booster Module rápido Bull Sequana XH2000 , AMD EPYC 7402 24C 2.8GHz, NVIDIA A100, Mellanox HDR InfiniBand/ParTec ParaStation ClusterSuite, Atos
9 HPC5 -papposo PowerEdge C4140, Xeon Gold seis mil doscientos cincuenta y dos 24C 2.1GHz, NVIDIA Tesla V100, Mellanox HDR Infiniband, Dell EMC
10 Frontera -papposo Dell C6420, Xeon Platinum 8280 28C 2.7GHz, Mellanox InfiniBand HDR, Dell EMC no