On a CUDA-enabled GPU, many processors can be executed at once, which enables developers to conveniently take advantage of a data parallel-programming methodology.

NVIDIA has announced that it is porting its popular GPU programming architecture to x86. Once the port is complete, developers will be able to choose from two different architectures—OpenCL and ...

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...

The integration provides Aqumen users the opportunity to create and simulate applications in a programming environment ...

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 ...

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 ...

Building on this success, the new programming features of the CUDA 5 platform make the development of GPU-accelerated applications faster and easier than ever, including support for dynamic ...

NVIDIA describes CUDA as a parallel computing platform and application programming interface (API) that allows the software to use specific GPUs for general-purpose processing.

News Nvidia CUDA Helps Bring Parallel Programming to the Classroom By David Nagel November 26, 2007 Nvidia has released a public beta of CUDA 1.1, an update to the company's C-compiler and software ...

Macs have missed out, though, firstly because there was no OSX version of CUDA, and secondly because there are only a few macs with compatible video cards (8-series and QuadroFXes).