CUDA is the NVIDIA technology that allows applications to be run on the GPU, rather than the CPU, and take advantage of the superior parallel processing capabilities of the GPU. It already supported a ...

Of course C for CUDA is available today on the Mac OS, so developers wanting to start developing for the GPU can get started now and as we said before, both C for CUDA and OpenCL share very similar ...

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 ...

This is one for the pro's, as it's WAYYY over my paygrade, but I was wondering:<BR><BR>Would it be possible, down the road, to leverage GPU's as VM client CPU's, using technologies like OpenCL or CUDA ...

This whitepaper evaluate OpenCL as a programming tool for developing performance-portable applications for GPGPUs. While the Khronos group developed OpenCL with programming portability in mind, ...

We spent some time on the phone with NVIDIA today in the wake of last night's official release of the OpenCL GPU-processing spec, and we learned some interesting things. NVIDIA thinks OpenCL is going ...

NVIDIA had told us it would be accelerating its CUDA program to try and get an advantage over its competitors as OpenCL brings general-purpose GPU computing to the mainstream, and it looks like that ...