GPUs have quickly surpassed CPUs in terms of computation speed. Now programmers can use the CUDA architecture to help simplify their implementation. Graphics processing units (GPUs) were originally ...

This isn’t a review, but given the popularity of my last CUDA book review, I thought I’d mention that Addison-Wesley has published a new book called CUDA by Example: An Introduction to General-Purpose ...

The PGI CUDA C/C++ compiler targets multi-core x86 platforms and extends CUDA beyond the GPU into a system-wide programming model. It is a key step towards making the x86+GPU architecture an ...

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 ...

Qt Group introduces new feature in its Axivion toolset automating compliance checks for NVIDIA CUDA coding guidelines.

LLVM, one of the industry's most popular open source compilers, now supports NVIDIA GPUs, dramatically expanding the range of researchers, independent software vendors (ISVs) and programming languages ...