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 ...

Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and SDK for developing multi-core and parallel processing applications on GPUs, specifically Nvidia's 8-series GPUs ...

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 ...

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 ...

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

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 ...

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

Amid a bunch of cool stereoscopic 3D demos, Nvidia announced today that it can run its graphics-based programming technology on any computer regardless of whether it uses an Nvidia graphics chip or ...

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.

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 ...