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 ...

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.

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, it is assumed that you already have access to the WAVE HPC with a user account and the ability to open a ...

There is no question right now that if you have a big computing job in either high performance computing – the colloquial name for traditional massively parallel simulation and modeling applications – ...

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, ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Like many other HPC professionals I’m following the hype cycle[1] around Machine Learning/Deep Learning with interest. I subscribe to the view that we’re probably approaching the ‘peak of inflated ...

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 ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...