TOP500 Expands Exaflops Capacity Amidst Low Turnover
Nov. 16, 2020

FRANKFURT, Germany; BERKELEY, Calif.; and KNOXVILLE, Tenn.—The 56th edition of the TOP500 saw the Japanese Fugaku supercomputer solidify its number one status in a list that reflects a flattening performance growth curve.  Although two new systems managed to make it into the top 10, the full list recorded the smallest number of new entries since the project began in 1993.

The entry level to the list moved up to 1.32 petaflops on the High Performance Linpack (HPL) benchmark, a small increase from 1.23 petaflops recorded in the June 2020 rankings. In a similar vein, the aggregate performance of all …


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Inspur Launches M6 Server Family Based on 3rd Gen Intel Xeon Scalable Processors

SAN JOSE, Calif., Apr. 8, 2021 – Inspur Information, a leading IT infrastructure solution provider, today launched a new M6 server family that supports 3rd Gen Intel Xeon Scalable processors. The M6 server family offers 16 products designed for compute-intensive applications, such as artificial intelligence, big data, cloud computing and other intelligent computing scenarios. Compute power has been […]

The post Inspur Launches M6 Server Family Based on 3rd Gen Intel Xeon Scalable Processors appeared first on HPCwire.

ICC Launches Upgraded Line of Servers Based on the Intel Xeon Scalable Processors

NORTHBROOK, Ill., April 8, 2021 — International Computer Concepts (ICC), a leading systems integrator of enterprise-level computing solutions, today announced the launch of the next generation of systems based on the new Intel Xeon Scalable Processors. The processors see a sizable performance boost, and the ICC Intel Xeon Scalable Processor-based systems built around them also […]

The post ICC Launches Upgraded Line of Servers Based on the Intel Xeon Scalable Processors appeared first on HPCwire.

Intel’s Habana Makes First Supercomputing Appearance

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Intel’s Habana Makes First Supercomputing Appearance was written by Nicole Hemsoth at The Next Platform.

SDSC Picks Habana AI Training and Inference Chips for Voyager HPC System

The San Diego Supercomputer Center has selected Habana Labs’ AI training and inference accelerators for SDSC’s Voyager supercomputer, scheduled to be in service this fall. Habana said the HPC system, housed at the University of California, San Diego, will utilize Habana’s interconnectivity technology to scale AI training capacity with 336 Habana Gaudi training processors, which […]

The post SDSC Picks Habana AI Training and Inference Chips for Voyager HPC System appeared first on insideHPC.

HPC DevOps: Powered by the Cloud

In this sponsored article, Bruce Moxon, Sr. HPC Architect, Microsoft Azure Global, discusses a number of developments that are ushering in a new era of HPC with the speed and agility of the Cloud. A well-planned, cloud-native HPC strategy complements traditional on-premises HPC investments.  It leverages a DevOps model to improve access to the right infrastructure at the right time in the development cycle, to opportunistically incorporate rapid technology advances, and to accelerate innovation and improve time-to-results.

The post HPC DevOps: Powered by the Cloud appeared first on insideHPC.

Python Could Reset the AI Inference Playing Field

When it comes to neural network training, Python is the language of choice.

Python Could Reset the AI Inference Playing Field was written by Nicole Hemsoth at The Next Platform.

The List

11/2020 Highlights

After a make-over of the Top10 in June we again see some interesting changes driven by two system upgrades (#1 Fugaku and #5 Selene) and two new systems (#7 JUWELS Booster Module and #10 Dammam-7). The full list however recorded the smallest number of new entries ever since the project started in 1993.

Supercomputer Fugaku, a system based on Fujitsu’s custom ARM A64FX processor remains the new 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 uses Fujitsu’s Tofu D interconnect to transfer data between nodes. It increased in size by about 5% which allowed it to improve its HPL benchmark score to 442 Pflop/s easily exceeding the No. 2 Summit by 3x.

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