Last month CUDA-Oxide was introduced as an experimental Rust-to-CUDA compiler. From pure Rust programming language code, one can write CUDA GPU kernels in a "safe(ish)" manner with the CUDA-Oxide compiler emitting NVIDIA PTX output directly. Out today is the second update to CUDA-Oxide...
The continuous evolution of AI and high-performance computing drives demand for more efficient and safer GPU programming paradigms, pushing innovation in compiler technology.
Rust's growing adoption for systems programming, combined with its memory safety features, offers a compelling alternative for developing critical CUDA kernels, potentially improving reliability and developer productivity.
Developers can now write CUDA kernels using Rust, benefiting from its safety guarantees and modern language features, rather than being solely reliant on C++.
- · Rust developers
- · NVIDIA (from increased ecosystem diversity)
- · Cloud providers (from potentially more stable GPU workloads)
- · Monolithic C++/CUDA development approaches
Increased adoption of Rust for GPU-accelerated workloads will occur.
Libraries and frameworks built on Rust for AI/ML and scientific computing will emerge or become more robust.
New hardware designs might optimize for memory-safe languages if their dominance in performance-critical areas grows significantly.
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Read at Phoronix