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 ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes CUDA programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores ...

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 ...

Quantum Circuits, Inc., announced work with NVIDIA technology integrating NVIDIA CUDA-Q programming capabilities into its ...

Graphics processing units (GPUs) are traditionally designed to handle graphics computational tasks, such as image and video processing and rendering, 2D and 3D graphics, vectoring, and more.

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

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 ...