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 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, ...

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 ...

One of my colleagues posted a thread in a forum about MemtestG80 and MemtestCL. MemtestG80 and MemtestCL are software-based testers to test for “soft errors” in GPU memory or logic for NVIDIA ...

I'm planning to build an i5 or i7 based system in January. It will be running Linux (probably OpenSUSE) and used primarily for programming, running and visualizing numerical simulations (specifically ...

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 ...

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 ...

Using a graphics processor or GPU for tasks beyond just rendering 3D graphics is how NVIDIA has made billions in the datacenter space. Of course, NVIDIA's proprietary CUDA language and API have been ...