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.
Aug. 11, 2021 — DUG (or the “Company”) is pleased to announce it has signed an agreement with PXGEO, an innovative marine geophysical services provider, for the provision of software onboard their marine seismic vessel PXGEO 2. The Company will provide its DUG Insight software for real-time data acquisition quality control and onboard data processing […]
The post PXGEO Signs On for DUG Insight Software appeared first on HPCwire.
HERNDON, Va., August 11, 2021 – EdgeConneX, the pioneer in global Hyperlocal to Hyperscale Data Center Solutions, today announces its partnership with Opus Interactive, a woman-owned cloud, colocation, and IT services company based in Portland, Oregon. The partnership enables additional Edge-based cloud solutions for enterprises across the EdgeConneX global footprint. This includes Opus Interactive cloud migration with […]
The post EdgeConneX and Opus Interactive Collaborate for Hybrid Multi-Cloud Solutions at the Edge appeared first on insideHPC.
Aug. 11, 2021 — Riverlane has been awarded the first contract to supply quantum software to the UK’s National Quantum Computing Centre (NQCC). The NQCC, funded through UK Research and Innovation, is dedicated to accelerating the development of quantum computing in the UK. Quantum computing has the potential to benefit many industries, including those focused on drug […]
The post Riverlane Awarded First Contract to Supply Quantum Software to UK’s National Quantum Computing Centre appeared first on HPCwire.
“There are only two natural disasters that could impact the entire U.S.,” according to Gabor Toth, professor of Climate and Space Sciences and Engineering at the University of Michigan. “One is a pandemic and the other is an extreme space weather event.” We’re currently seeing the effects of the first in real-time. The last major space […]
The post Univ. of Michigan Researchers Using TACC Frontera HPC for Space Weather Forecasting appeared first on insideHPC.
Much has changed at online retail giant, Etsy, since 2015 when we talked to the company’s senior VP of technical operations about their adherence to their on-prem datacenters and database-driven approach to handling exponential growth. …
How Etsy Crafts AI/ML Cost, Optimization Balance was written by Nicole Hemsoth at The Next Platform.
Managing MySQL databases in the cloud is no easy chore, according to Steve Zivanic, vice president of database and autonomous services at Oracle. …
Pushing Cloud MySQL Performance The Oracle Way was written by Jeffrey Burt at The Next Platform.
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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