Hacker News with Generative AI: GPU Programming

Show HN: HipScript – Run CUDA in the browser with WebAssembly and WebGPU (lights0123.com)
Online compiler for HIP and NVIDIA® CUDA® code to WebGPU
GPU Programming Glossary (modal.com)
Using Libc for GPUs (llvm.org)
Once you have finished building the GPU C library it can be used to run libc or libm functions directly on the GPU. Currently, not all C standard functions are supported on the GPU. Consult the list of supported functions for a comprehensive list.
Rust GPU: The future of GPU programming (rust-gpu.github.io)
Finally, a modern language for GPUs <p>Rust GPU makes it possible to write and run GPU software in Rust, leveraging the language's powerful safety and concurrency features to enhance performance and reliability. With Rust GPU, you can seamlessly develop for both CPU and GPU using a unified codebase, all while benefiting from Rust’s existing ecosystem.</p>
GPU Puzzles (github.com/srush)
This notebook is an attempt to teach beginner GPU programming in a completely interactive fashion. Instead of providing text with concepts, it throws you right into coding and building GPU kernels.
Ask HN: Resources for GPU Compilers? (ycombinator.com)
Taichi: Productive, portable, and performant GPU programming in Python (github.com/taichi-dev)
Gpu.cpp: A lightweight library for portable low-level GPU computation (answer.ai)
ILGPU: Write GPU programs with C# and F# (github.com/m4rs-mt)
Show HN: Metashade – a Pythonic GPU shading/compute EDSL (github.com/ppenenko)