CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).

In addition, Nvidia announced that more than 20 universities around the world have adopted CUDA for multicore and parallel processing programming, with several more also exploring CUDA for inclusion ...

The NVIDIA CUDA 4.0 Toolkit was designed to make parallel programming easier, and enable more developers to port their applications to GPUs. This has resulted in three main features: ...

SUPERCOMPUTING 2007—RENO, NEVADA—NOVEMBER 14, 2007—As the computing industry rapidly moves to multi-core and parallel processing architectures, tomorrow’s software engineer must be educated on the ...

NVIDIA today made available the NVIDIA® CUDA® 5 production release, a powerful new version of the world's most pervasive parallel computing platform and programming model for accelerating ...

According to Nvidia, the new compiler source code "opens up" its CUDA parallel programming platform, allowing developers to more easily add GPU support for more programming languages.

The freedom to run your code anywhere with open unified accelerated computing CUDA is a parallel computing programming model for Nvidia GPUs. With the proliferation over the past decade of GPU ...

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 ...

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 today made available the NVIDIA® CUDA® 5 production release, a powerful new version of the world's most pervasive parallel computing platform and programming model for accelerating ...