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.

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 ...

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, ...

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, ...

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 ...

Much of our knowledge of the world depends on learning associations (for example, face-name), for which the hippocampus (HPC) and prefrontal cortex (PFC) are critical. HPC-PFC interactions have rarely ...

The upcoming data center GPU, in combination with its new oneAPI programming interface, will give Intel more ammunition to compete against Nvidia in the artificial intelligence hardware acceleration ...

Abstract: Today’s HPC systems face challenges in delivering predictable performance, while maintaining efficiency, resilience, and security. Much of computer system management has traditionally relied ...