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 ...

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 has released a public beta of CUDA 1.1, an update to the company's C-compiler and software development kit. CUDA stands for "Compute Unified Device Architecture." It's used for developing ...

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 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 ...

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 ...

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 ...

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 ...

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 ...