“GPU programming still requires the programmer to manage a lot of low-level details that often distract them from the core of what they’re trying to do,” says Holk.

GPUs are widely used by industry and academia, so, as you chart your future career path, it can be valuable to develop skills in programming GPUs. For example, if you search for computer science jobs ...

AMD has released a version 6.2 of its ROCm software stack for GPU programming. Global AI GPU Product Marketing Manager Ronak Shah wrote a blog in support of the announcement: Whether you’re working on ...

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 ...

There are certainly other GPU programming languages out there, with OpenCL and Nvidia’s CUDA being perhaps the most well known. These are all based on the CPU past, though.

The programming environment, which is still in beta, provides a kind of language framework for working with GPUs and lets Leopard developers program certain Nvidia graphics processors to do ...

A program written to PeakStream's APIs can be compiled once and run on a variety of multiprocessing platforms, including multicore x86 processors, CPU + GPU combinations, and eventually even IBM's ...

Opposed to making these images with a CPU, a GPU processes every pixel in parallel, making image processing much faster. All the GPU coding is done by writing a bit of code in GLSL.

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 ...

"GPU programming still requires the programmer to manage a lot of low-level details that often distract them from the core of what they're trying to do," says Eric Holk.