Exascale Frontier Supercomputer Has Passed Formal Acceptance: What That Means

May 22, 2023

Fresh off their third Top500 win for Frontier – now with an 8.4% higher Linpack score – the HPC team at Oak Ridge National Laboratory had some exciting news to share today. Frontier has passed its acceptance and is taking on grand scientific challenges. “Acceptance of Frontier took place at the... Read more…

15 Slides on Right and Wrong Ways to Program GPU-based US Leadership Supercomputers

March 2, 2022

U.S. leadership computers today are giant GPU-based machines, whether you’re talking about the pre-exascale Summit supercomputer in operation today at the Oak Read more…

IBM: Software Ecosystem for OpenPOWER is Ready for Prime Time

April 16, 2018

With key pieces of the IBM/OpenPOWER versus Intel/x86 gambit settling into place – e.g., the arrival of Power9 chips and Power9-based systems, hyperscaler sup Read more…

Deep Learning Thrives in Cancer Moonshot

August 8, 2017

The U.S. War on Cancer, certainly a worthy cause, is a collection of programs stretching back more than 40 years and abiding under many banners. The latest is t Read more…

DOE Invests $16M in Supercomputer-based Materials Design

August 16, 2016

Materials science got a boost today when the Department of Energy announced it would invest $16 million over the next four years to accelerate the design of new Read more…

Titan Simulation Reveals New Details of Fissioning Plutonium

July 26, 2016

In a first study of its kind, a team led by the University of Washington’s Aurel Bulgac captured the real-time dynamics of a fissioning plutonium-240 nucleus Read more…

Titan Sheds Light on Universe’s Second Flicker

March 9, 2016

Right after the Big Bang the universe was filled with hot, ionized hydrogen (H) and helium (He) gas, a bright torch if you will. By 400,000 years later the flam Read more…

Titan Helps Researchers Explore Explosive Star Scenarios

December 8, 2015

A team led by Michael Zingale of Stony Brook University is exploring the physics of Type Ia supernovas using the Titan supercomputer at the US Department of Ene Read more…

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Whitepaper

Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer

The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.

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How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud

Five Recommendations to Optimize Data Pipelines

When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.

With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.

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