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HPC

December 29, 2024

Public sector investments in exascale systems have significantly impacted technology innovation and putthe United States and other leading economies in an advantageous position. Supercomputers have led toadvances in energy and materials research, new manufacturing techniques, our understanding of climate,and the development of new treatments and therapeutics — all technologies critical to sustaining andadvancing economic leadership.

December 29, 2024

Working with Cabot Partners and subject matter experts at HPE and AMD, I recently completed a new whitepaper describing the impact of the latest 5th Gen AMD EPYC processors and AMD Instinct accelerators on CAE. You can download the whitepaper from the HPE website by clicking on the button below.

October 29, 2024

I recently had the opportunity to work on a whitepaper detailing AMD’s latest processors running ANSYS CAE workloads on HPE Cray XD2000 systems. We were proud to produce a whitepaper with real benchmarks (conducted by HPE) just three weeks after AMD’s Turin lauch on October 10th, 2024. Download the whitepaper here.

July 9, 2024

I recently had the opportunity to work with Altair on an eGuide related to Enterprise Software License Management. For organizations of all kinds, spending on enterprise software is on the rise. Organizations face various software management challenges, including managing vendors, tracking license expiration, managing costs, and ensuring compliance. The challenges are especially acute when managing

February 14, 2024

For organizations operating high-performance data centers, cooling is a significant challenge. High-end processor TDPs are also climbing with each generation, and we are rapidly approaching the point where air-cooling will become infeasible. Liquid cooling is an obvious answer but brings new challenges, including cost, maintenance issues, and concerns about leakage and safety. In a recent

January 24, 2024

Machine learning (ML) is used for multiple healthcare and life sciences (HCLS) applications, including medical imaging, protein folding, drug discovery, and gene editing. While Nextflow pipelines (like those in nf-core) are commonly used for genomics, they are also being adopted for machine learning workloads. In this artice, we explain how to build an example Nextflow