Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

This tutorial by the [Molecular Sciences Software Institute]({{ site.molssi_site }}) (MolSSI) overviews the fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.

The big picture: Nvidia has long been developing an AI PC processor that combines Arm CPU cores with Blackwell GPU architecture. The chip has now appeared on the Geekbench database for at least the ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...

Why it matters: Nvidia introduced CUDA in 2006 as a proprietary API and software layer that eventually became the key to unlocking the immense parallel computing power of GPUs. CUDA plays a major role ...

Introduced a couple of weeks before the Ford Mustang, the Plymouth Barracuda was born as a pony and morphed into a fully-fledged muscle rig by the end of the decade. However, it didn't get the iconic ...

CUDA enables faster AI processing by allowing simultaneous calculations, giving Nvidia a market lead. Nvidia's CUDA platform is the foundation of many GPU-accelerated applications, attracting ...

I’m not a programmer. But I’ve been creating my own software tools with help from artificial intelligence. Credit...Photo Illustration by Ben Denzer; Source Photographs by Sue Bernstein and Paul ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...