Using GPUs for general-purpose computing is attractive because of the high-compute bandwidth available, yet programming them still is a costly task. This article makes the claim that current ...

Currently, there are several approaches to programming GPU supercomputers in terms of optimization and memory management; fully exposed models (CUDA level), fully, hidden (libraries, etc) and ...

New Scheme-Based GPU Programming Language Set to Turn Chips Into Supercomputers - SiliconANGLEIn ordinary circumstances, the GPU is used to handle multiple threads at once. Those threads run one ...

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against ...

A welcome step toward a more open ecosystem for Linux users and developers, the upcoming R560 driver release also puts Nvidia in a better position to compete with AMD. It's about time.

Well, now the former of those problems has been fixed (there’s a beta for OSX now), so I expect to see an idle-GPU-using I know not what kind of program, generating random praise for Steve Jobs ...

CoreWeave, a specialized cloud provider built for large-scale GPU-accelerated workloads, today announced the launch of its Accelerator Program to demo ...

Updating your graphics drivers is the key to stable performance and solid frame rates. Here's how to update or roll back your ...