NVIDIA has announced that it is porting its popular GPU programming architecture to x86. Once the port is complete, developers will be able to choose from two different architectures—OpenCL and ...

Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...

Quick background- I have a subsurface fluid flow simulation tool that I wrote several years ago. From it, I started up a consultancy company, which is finally paying the bills. The algorithms lend ...

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 ...

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 ...

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 ...

MathWorkshas announced support for Nvidia GPUs (graphics processing units) in Matlabapplications using the Parallel Computing Toolbox or Matlab DistributedComputing Server. According to the Natick, MA ...

New Consumer Application Pack Uses NVIDIA CUDA Technology to Improve Performance Beyond Graphics on NVIDIA GeForce GPUs SANTA CLARA, Calif., Aug. 12 /PRNewswire ...

Intel doesn’t want to just create a rival to the CUDA programming model and library stack so it can better compete against Nvidia in the GPU compute market. With oneAPI, it wants to create an open ...