James Reinders likes fast computers and the software tools to make them speedy. With over 30 years in high-performance computing (HPC) and parallel computing, including 27 Years at Intel Corporation ...

High Performance Computing (HPC) has historically depended on numerical analysis to solve physics equations, simulating the behavior of systems from the subatomic to galactic scale. Recently, however, ...

If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. But many of the supercomputing sites of the world beg to differ.

Why is HPC (high performance computing) speeding up machine learning and deep learning research? Experiments determined the right architecture for speech recognition. A lot of AI progress is driven by ...

While deep learning models might not be able to simulate large-scale physical phenomena in the same way purpose-built supercomputers and their application stacks do, there is more research emerging ...

The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...

In this video from SC18, Derek Bouius from AMD describes how the company’s new EPYC processors and Radeon GPUs can speed HPC and Ai applications. It’s been a fantastic year in the supercomputing space ...

With Motivair liquid cooling solutions for AI factories managing pressure drop, ΔT, and flow rate, silicon like Nvidia or AMD ...

Forbes contributors publish independent expert analyses and insights. While NVIDIA unfortunately chose to brand all these products as “Tesla P100”, they are very different, with unique form factors, ...