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The Grand Challenge of Simulating Nuclear Fusion: An Overview with UKAEA’s Rob Akers
May 25, 2023
As HPC and AI continue to rapidly advance, the alluring vision of nuclear fusion and its endless zero-carbon, low-radioactivity energy is the sparkle in many a Read more…
Japan to Debut Integrated Fujitsu HPC/AI Supercomputer This Spring
February 25, 2021
The integrated Fujitsu HPC/AI Supercomputer, Wisteria, is coming to Japan this spring. The University of Tokyo is preparing to deploy a heterogeneous computing Read more…
CASL Wraps up 10 Years of Solving Nuclear Problems — and Hands Toolbox to Industry
August 17, 2020
Ten years ago, the Department of Energy put out a call for innovators to change the world of nuclear energy. What DOE hoped to accomplish with the then-new Read more…
AI-Based Emulators Enable Billion-Fold Simulation Speedups, High Accuracy
March 3, 2020
Normally, even a two-fold speedup is a big deal for a large-scale simulation, saving large amounts of time (and energy, and money) on machines that are often booked to capacity. Now, a team of researchers from Stanford University and the University of Oxford have applied deep learning to speed simulations quite a bit more – up to billions of times faster – without sacrificing accuracy. Read more…
How Formula 1 Used Cloud HPC to Build the Next Generation of Racing
December 12, 2019
Formula 1, Rob Smedley explained, is maybe the biggest racing spectacle in the world, with five hundred million fans tuning in for every race. Smedley, a chief Read more…
How the Gordon Bell Prize Winners Used Summit to Illuminate Transistors
November 22, 2019
At SC19, the Association for Computing Machinery (ACM) awarded the prestigious Gordon Bell Prize to the Swiss Federal Institute of Technology (ETH) Zurich. The Read more…
What’s New in HPC Research: Deep Space Radiation, Animated Films, Simulations & More
October 1, 2019
In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programm Read more…
DARPA Looks to Propel Parallelism
September 4, 2019
As Moore’s law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat. Read more…
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Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
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QCT POD- An Adaptive Converged Platform for HPC and AI
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
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