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 ...

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 OpenCL ...

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...

As the name Graphics Processing Unit (GPU) suggests, GPU processors are designed for image and video processing on computers–but they’re also optimized for extremely fast, highly parallel computation ...

HPCwire is reporting that NVIDIA has demonstrated that its CUDA GPU programming API can be coupled with high-level programming language MATLAB. NVIDIA’s MATLAB plug-in example allows MATLAB programs ...

Wolfram Research (http://www.wolfram.com) has announced a technical collaboration with NVidia (http://www.nvidia.com) to integrate GPU acceleration into Mathematica 8 ...

Nvidia has released a Mac OS X version of its CUDA programming tools. Nvidia’s CUDA tools help developers utilize the GPUs on newer Nvidia graphics hardware as parallel processing engines. CUDA, or ...

We all know CUDA is currently king of the hill when it comes to GPGPU & ML in particular, and that CUDA is an NVIDIA product limited to NVIDIA hardware, and that Apple & NVIDIA “don’t get along” i.e.

The forthcoming IBM iDataPlex dx360 M3 systems will be equipped with a pair of Nvidia’s Tesla M2050 GPUs to go along with a dual-CPU configuration, according to Sumit Gupta, senior manager of ...