Getting started with parallel programming is easier than ever. In fact, now you can develop right on your Macbook Pro using its built-in Nvidia GeForce GPU. Over at QuantStart, Valerio Restocchi has ...

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 ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

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 ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

Nvidia has announced a new version of its CUDA parallel computing platform and programming model, ahead of the annual International Conference for High Performance Computing, Networking, Storage, and ...

Nvidia wants to accelerate mobile-device performance with underlying tools that enable CPUs and graphics processors to work in a coherent manner. The company released on Tuesday its CUDA 5.5 ...

CUDA is NVIDIA's parallel computing architecture that enables dramatic increases in computing performance by harnessing the power of NVIDIA GPUs (graphics processing units). With PGI's new CUDA C/C++ ...

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 ...

Version 5.5 of the CUDA tools for the first time support ARM CPUs, which are broadly used in smartphones and tablets Nvidia wants to accelerate mobile-device performance with underlying tools that ...