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.

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

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

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

I recently worked on this interesting project with Intel and Altair Engineering. In this article, I looked at Intel’s latest Max Series GPUs and explain how new capabilities in Altair® Grid Engine® can help organizations schedule workloads more effectively on Intel GPU-powered HPC clusters.

In November, timed for SuperComputing 2023, I had the opportunity to work the Altair and Intel to describe the new integration between Altair Grid Engine and Intel Data Center GPU Max series. You can learn about the integration here:

Recently I had the opportunity to work on an interesting tutorial for Seqera Labs, explaining how to adapt a machine learning inference pipeline to use an AWS Batch GPU environment provisioned using Nextflow Tower. The example uses Stable Diffusion – an open source text to image model to generate a variable number of images and

I recently had the opportunity to with Altair and AMD and contribute to an article submitted to engineering.com about creating sustainable HPC environments.

Financial institutions (FIs) face unprecedented challenges. With increasing consumer expectations and megatrends such as mobile banking, alternative lenders, and cloud computing, banks are under intense pressure. They need to innovate faster, offer new services, and deploy new applications to serve their customers better. Despite these imperatives, data center growth rates have become unsustainable. The need

With the launch of AMD EPYC™ 7003 series processors with 3D V-Cache™, we needed to update prior whitepapers for EDA and CAE. These technologies are game changers. Checkout our latest assets at these links: Realizing a more productive EDA environment A new standard in CAE solutions for manufacturing