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This repository collects the code examples used in the 2025 edition of the GPU programming tutorial of the ATLAS Experiment. The exercises are primarily meant to be run on the NERSC Perlmutter ...

Some other learning tools for GPU programming we’ve seen in the past include this puzzle-based tool which illustrates some of the specific problems GPUs excel at.

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.

Project Babylon would extend the reach of Java to foreign programming models such as machine learning models, GPUs, SQL, and differential programming.

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 ...

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 ...