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.
PAID FEATURE In October 2021, in an incident lasting more than six hours, Facebook disappeared from the Internet. …
Why global DDoS protection is essential for Anycast networks was written by David Gordon at The Next Platform.
GRENOBLE, France, Jan. 21, 2022 — Kalray, a leading provider in the new generation of processors and acceleration cards specialized in Intelligent Data Processing from Cloud to Edge, has announced that it has entered into exclusive negotiations for the acquisition of 100% of the shares of Arcapix Holdings Ltd, a leading provider of software-defined storage […]
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Jan. 21, 2022 — Sigma2 has acquired a new national storage infrastructure. The storage system is based on technology from IBM and is supplied by the Norwegian IT company Move AS. The contract between Sigma2 and Move was signed on Dec. 31, 2021. The data infrastructure will be installed at Lefdal Mine Datacenter and will […]
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January 20, 2022 — Berkeley, CA — Atom Computing, maker of a quantum computer made of nuclear-spin qubits from optically-trapped neutral atoms, today announced closure of a $60M Series B round. Third Point Ventures led the round, followed by Primer Movers Lab and insiders including Innovation Endeavors, Venrock and Prelude Ventures. Following the completion of […]
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After SC21, Patrick Kennedy at Serve the Home got a scoop when he met with Raja Koduri, SVP/GM of Intel’s Accelerated Computing Systems and Graphics (AXG) Group, to discuss Intel’s zettascale projections and plans, anticipating delivery by 2027. Or maybe 2028. By way of definition, a zettaflop is 1,000 exaflops, or one sextillion (1021) floating point operations per second, a thousand times more powerful than an exascale system. But is this realistic, considering exascale hasn’t quite been made official, at least not in the U.S.? Tune in to this episode of the @HPCpodcast and let us know what you think.
The post @HPCpodcast: Zettascale Is Coming – But What About Exascale? appeared first on insideHPC.
One of the oldest adages in the systems business is that customers don’t buy processors, but rather they buy roadmaps. …
In The Absence Of A Xeon Roadmap, Intel Makes Us Draw One 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 at No. 10 is a Microsoft Azure system called Voyager-EUS2 installed at Microsoft in the U.S. The machine achieved 30.05 Pflop/s on the HPL benchmark. This architecture is based on an AMD EPYC processor with 48 cores and 2.45GHz working together with an NVIDIA A100 GPU with 80 G.B. memory and utilizing a Mellanox HDR Infiniband for data transfer.
The only other change to the TOP10 was that the No. 5 system Perlmutter system at NERSC at the DOE Lawrence Berkeley National Laboratory improved its performance to 70.9 Pflop/s which, however, did not change its position on the list.
Supercomputer Fugaku, a system based on Fujitsu’s custom ARM A64FX processor, remains at 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 improved 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 A.I. applications, its peak performance is actually above 1,000 PFlop/s (= 1 Exaflop/s). Because of this, it is often introduced as the first ‘Exascale’ supercomputer. Fugaku already demonstrated this new level of performance on the new HPL-AI benchmark with 2 Exaflops! https://www.r-ccs.riken.jp/en/
The new HPE/Cray/AMD build Frontier system, currently being installed at the Oak Ridge National Laboratory, is widely expected to beat the Exa-scale barrier in full 64-bit floating point precision. However, it was not able to submit such a result before the deadline for this edition of the TOP500. Over the last year there were also reports about several Chinese systems reaching Exaflop level performance, however none of these systems submitted an HPL result to the TOP500.
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