AMD will train 100,000 STEM graduates in AI and GPU programming in India over the next three years. The initiative includes 1 lakh hours of free cloud access for Indian researchers and startups, ...

Here you find a collection of CUDA related material (books, papers, blog-post, youtube videos, tweets, implementations etc.). We also collect information to higher level tools for performance ...

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, ...

Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...

Laptop gamers, rejoice — Nvidia’s best graphics cards have finally made their way to laptops. With the ongoing rollout of laptops equipped with the RTX 5090, RTX 5080, and the RTX 5070 Ti, those of us ...

Every few years or so, a development in computing results in a sea change and a need for specialized workers to take advantage of the new technology. Whether that’s COBOL in the 60s and 70s, HTML in ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

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

Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...