Hacker News with Generative AI: GPU Computing

Rust-CUDA Project Restarted for Enabling Nvidia CUDA Kernels Within Rust Code (phoronix.com)
The open-source Rust CUDA project has been "rebooted" to get back onto the effort of allowing NVIDIA CUDA compute kernels to be coded within the Rust programming language.
Beating cuBLAS in Single-Precision General Matrix Multiplication (salykova.github.io)
This project is inspired by the outstanding works of Andrej Karpathy, George Hotz, Scott Gray, Horace He, Philippe Tillet, Jeremy Howard, Lei Mao and the best CUDA hackers from the GPU MODE community (Discord server). A special thanks to Mark Saroufim and Andreas Köpf for running GPU MODE and all you’ve done for the community.
HipScript enables CUDA to run inside web browsers (phoronix.com)
HipScript is a new open-source project that allows for compiling and running AMD HIP and NVIDIA CUDA code within web browsers by leveraging WebAssembly and WebGPU.
What Every Developer Should Know About GPU Computing (2023) (codingconfessions.com)
Most programmers have an intimate understanding of CPUs and sequential programming because they grow up writing code for the CPU, but many are less familiar with the inner workings of GPUs and what makes them so special. Over the past decade, GPUs have become incredibly important because of their pervasive use in deep learning. Today, it is essential for every software engineer to possess a basic understanding of how they work.
CuPy: NumPy and SciPy for GPU (github.com/cupy)
CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python.
cuDF – GPU DataFrame Library (github.com/rapidsai)