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NVIDIA has open-sourced cuda-oxide, an experimental rustc backend that allows developers to write CUDA kernels directly in pure Rust without DSLs, FFI, or source-to-source translation.
This article introduces the Cornell Virtual Workshop's free online tutorial on basic CUDA programming using C, covering prerequisites and additional resources.
OpenAI releases Triton 1.0, an open-source Python-like GPU programming language that enables researchers without CUDA experience to write highly efficient GPU kernels, achieving performance on par with expert-written CUDA code in as few as 25 lines.
A technical article/book summary on writing custom CUDA kernels to overcome deep learning framework bottlenecks, covering the full journey from fundamentals to optimization.