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 ...

DaVinci Resolve may stop with “The GPU failed to perform image processing because of an error.” (Error Code 5). This can break playback, stop effects from ...

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, ...

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 ...

Although the performance and efficiency gain of using accelerators, including GPUs, can be quite staggering, programming for boosted systems still presents some challenges, despite the large amount of ...

OpenCL is a computational framework designed to take advantage of multicore platforms. Unsurprisingly, there are a few myths surrounding it. This file type includes high resolution graphics and ...

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 ...

We start off with Indigo. IndigoBench offers a standalone benchmark application based on Indigo 4's advanced rendering engine, useful for measuring the performance of modern CPUs and GPUs. Due to the ...