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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Whitepaper

How Direct Liquid Cooling Improves Data Center Energy Efficiency

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.

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Sponsored by CoolIT

Whitepaper

Transforming Industrial and Automotive Manufacturing

Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.

Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.

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Sponsored by TotalCAE

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