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 ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Over at the Nvidia blog, Mark Harris has posted a simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA. I wrote a previous “Easy Introduction” to CUDA ...

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.

.NET developers, have you been looking for a way code for GPUs? CUDAfy is a new set of libraries and tools that permit general purpose programming of NVIDIA CUDA GPUs from the Microsoft .NET framework ...

Nvidia has made improvements to its underlying software tools to make it easier to write programs for faster execution across CPUs and graphics processors. The company on Thursday announced CUDA 6, ...