Argonne Supercomputing, ML Power ‘IMPECCABLE’ Drug Discovery

September 15, 2022

Two and a half years later, much of the world has settled into an uneasy routine with Covid-19 thanks to a host of highly effective vaccines and a handful of ef Read more…

Argonne Deploys Polaris Supercomputer for Science in Advance of Aurora

August 9, 2022

Argonne National Laboratory has made its newest supercomputer, Polaris, available for scientific research. The system, which ranked 14th on the most recent Top500 list, is serving as a testbed for the exascale Aurora system slated for delivery in the coming months. The HPE-built Polaris system (pictured in the header) consists of 560 nodes... Read more…

Argonne Simulations Target Supersonic Turbulence

August 3, 2022

When an aircraft goes supersonic, the boundary layer of the “separation bubble” along the aircraft’s surface can be disrupted by the impact of the resulting sonic boom — and if that happens, there are significant performance losses. At Argonne National Laboratory, researchers are using supercomputing to study this shock/boundary-layer... Read more…

Argonne Supercomputer Advances Energy Storage Research

May 13, 2022

The lack of large-scale energy storage bottlenecks many sources of renewable energy, such as sunlight-reliant solar power and unpredictable wind power. Researchers from Lawrence Livermore National Laboratory (LLNL) are working on changing that, leveraging an allocation on Argonne National Laboratory’s Theta supercomputer to better understand the dynamics of ion transport that are at the core... Read more…

Exascale Watch: Aurora Installation Underway, Now Open for Reservations

May 10, 2022

Installation has begun on the Aurora supercomputer, Rick Stevens (associate director of Argonne National Laboratory) revealed today during the Intel Vision event keynote taking place in Dallas, Texas, and online. Joining Intel exec Raja Koduri on stage, Stevens confirmed that the Aurora build is underway – a major development for a system that is projected to deliver more... Read more…

Supercomputing, Paper Cutting Underpin Stretchable Electronics Research

April 11, 2022

Some wearable electronics—like sensors sewn into fabrics, or applicable “skins”—rely on the development of new, durable, stretchable electronic material Read more…

Summit Supercomputer Used to Model Classroom Covid Spread

March 10, 2022

As the world’s students return to classrooms, a general unease remains over the dynamics of Covid transmission even as the omicron variant settles into a lull Read more…

Argonne Supercomputer Powers Air Travel Covid-19 Research

March 9, 2022

The world is (once again) returning to some semblance of pre-pandemic life as the omicron variant wanes. Many are now wondering about the risk calculus for popu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow

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.

Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.

Download Now

Sponsored by ANSYS

Whitepaper

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.

To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.

Download Now

Sponsored by TotalCAE

Advanced Scale Career Development & Workforce Enhancement Center

Featured Advanced Scale Jobs:

SUBSCRIBE for monthly job listings and articles on HPC careers.

HPCwire Resource Library

See More in the Resource Library

HPCwire Product Showcase

Subscribe to the Monthly
Technology Product Showcase:

© 2023 HPCwire. All Rights Reserved. A Tabor Communications Publication

HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.

Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.

HPCwire