Supercomputing 2023: Odds and Ends from the Show

November 20, 2023

This year's fantastic Supercomputing 2023 was back in full form. Attendees seemed to be glad that the show was back in Denver, which was a preferred destination Read more…

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HPC User Forum: Sustainability at TACC Points to Software

October 3, 2023

Recently, Dan Stanzione, Executive Director, TACC and Associate Vice President for Research, UT-Austin, gave a presentation on HPC sustainability at the Fall 20 Read more…

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PEARC23 Day One: Opening Plenaries Stress Democratization, Local Ownership of AI Solutions 

July 28, 2023

Editor's note; The Day 1 and Day 2 reports from PEARC23 got crossed in the wires. Both reports are now posted. Thanks to Ken Chiacchia of the Pittsburgh Superco Read more…

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PEARC23 Day Two Plenary: Firefighting and Funding

July 27, 2023

Editor's note; The Day 1 and Day 2 reports from PEARC23 got crossed in the wires. Both reports are now posted. Thanks to Ken Chiacchia of the Pittsburgh Superco Read more…

HPCwire Unveils Editors’ Superlative Awards

February 14, 2023

Each November, HPCwire’s readers and editors recognize dozens of individuals and organizations across more than 20 very serious award categories, celebrating Read more…

TACC Supercomputing Powers Climate Modeling for Fisheries

January 28, 2023

A tremendous portion of the world depends on the output of the oceans’ major fisheries, which have, in recent decades, found themselves under near-constant th Read more…

Solving the Space Junk Crisis with HPC

December 20, 2022

By now, most people are aware of the vast amount of trash currently clogging our oceans, with the Great Pacific garbage patch alone estimated to be twice the si Read more…

TACC’s Dan Stanzione Shares Vision for Leadership Computing

December 14, 2022

Texas Advanced Computing Center Director Dan Stanzione and HPCwire Managing Editor Tiffany Trader met in Dallas to discuss the biggest trends in HPC and the hot Read more…

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Whitepaper

Penguin Computing Scyld Cloud Central™: A New Cloud-First Approach to HPC and AI Workloads

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Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.

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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.

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