A curated set of C++ examples for optimization-based elastodynamic contact simulation using CUDA, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions. Designed for ...

According to @soumithchintala, the new Vibe-coding setup designed for GPU programmers represents a major leap in accelerating the development of custom GPU kernels. This authoring experience, ...

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.

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

A repository of codelabs and tutorials to support education in scientific computing - Releases · rommelDB/gpu-programming-tutorials ...

Provides an abstract of the tutorial presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference ...

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

OpenAI has released Triton, a 'Python-like' programming language to optimize workloads for multicore processors such as GPUs.