AMD, Intel, and startups like Spectral Compute line up to reduce hardware lock-in and snatch chip giant's computing crown ...

NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

A small British software startup called Spectral Compute Ltd. believes it has what it takes to break Nvidia Corp.’s stranglehold on artificial intelligence data centers after raising $6 million in ...

Graphics processing units (GPUs) were originally designed to perform the highly parallel computations required for graphics rendering. But over the last couple of years, they’ve proven to be powerful ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes CUDA programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Quick background- I have a subsurface fluid flow simulation tool that I wrote several years ago. From it, I started up a consultancy company, which is finally paying the bills. The algorithms lend ...

Nvidia’s Mark Ebersole writes that CUDA is not an API or language – rather, it is a powerful mainstream tool that allows you to easily unlock the power of GPU acceleration. It is much more than that.