Although there was a trend of steady progress in the Green500, nothing has indicated a big step toward newer technologies.
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 relies on the MN-Core chip, an accelerator optimized for matrix arithmetic, as well as a Xeon Platinum 8260M processor. MN-3 achieved a 29.70 gigaflops/watt power-efficiency and has a TOP500 ranking of 337.
Detailed report on the Fujitsu Fugaku system.
Nov. 3, 2021 — IBM and NeuReality, an Israeli AI systems and semiconductor company, have signed an agreement to develop the next generation of high-performance AI inference platforms that will deliver disruptive cost and power consumption improvements for deep learning use cases. IBM and NeuReality will enable critical sectors such as finance, insurance, healthcare, manufacturing, […]
The post IBM and NeuReality Team Up to Build the Next Generation of AI Inference Platforms appeared first on HPCwire.
CHICAGO — Experts in quantum science and technology from around the globe will gather tomorrow, November 4, both virtually and in person, for the fourth annual Chicago Quantum Summit. The event, hosted by the Chicago Quantum Exchange, will bring together academic, government, and industry leaders to discuss how the field can strengthen and expand the quantum […]
The post Nov. 4 Chicago Quantum Summit to Focus on Quantum Ecosystems appeared first on insideHPC.
Nov. 3, 2021 — The U.S. Department of Energy (DOE) announced plans to provide $10 million for new grants to universities, other academic institutions, non-profit organizations, for profit organizations, and other federal agencies within the area of Earth and environmental systems modeling research. Grants will focus on two related areas of research: further development of DOE’s […]
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Nov. 2, 2021 — Today, the U.S. Department of Energy (DOE) announced plans to provide $10 million for new grants to universities, other academic institutions, non-profit organizations, for profit organizations, and other federal agencies within the area of Earth and environmental systems modeling research. Grants will focus on two related areas of research: further development of DOE’s flagship […]
The post DOE to Provide $10M for Climate and Earth System Modeling Research appeared first on insideHPC.
The rapid movement of data to the cloud, the sharp rise in the amount of east-west traffic and the broadening adoption of modern applications like artificial intelligence (AI) and machine learning are putting stress on traditional networking infrastructures that were designed for a different era and are struggling to meet the demands for better performance, more bandwidth and less latency. …
Startup Rips The Switch Out Of High Performance Networks was written by Jeffrey Burt at The Next Platform.
The coronavirus pandemic giveth to Amazon retail business and its Amazon Web Services cloud business, and the pandemic taketh away from the Amazon retail business. …
Amazon Is The Flywheel, AWS Is The Cash Register was written by Timothy Prickett Morgan at The Next Platform.
Building on the successful implementation of the Partnership for Advanced Computing in Europe (PRACE), the European Commission (EC) has increased its efforts to develop a world-class supercomputing ecosystem in Europe. The EC, EuroHPC Joint Undertaking (JU) and EU Member States have made significant investments in European petascale and pre-exascale infrastructure, have put exascale supercomputers on the roadmap, and are actively exploring new post-exascale architectures. The return on investment will be directly linked to the productivity of end-users in academia, in industry, and in the public sector. Key to this productivity is an ecosystem of user-oriented software: scientific applications and workflows …
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 nodes. Perlmutter achieved 64.6 Pflop/s which put it at No. 5 in the new list.
Supercomputer Fugaku, a 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 uses Fujitsu’s Tofu D interconnect to transfer data between nodes. 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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