6 posts
SciRS2 0.6.0 introduces the pure-Rust oxicuda-* CUDA stack as a direct, per-crate NVIDIA performance backend and decentralizes GPU out of scirs2-core. Ten crates — fft, symbolic, interpolate, special, stats, graph, linalg, optimize, datasets, and vision — gain an off-by-default, runtime-probed, f64-native cuda feature standing alongside the existing wgpu/WebGPU portability path, now standardized under one wgpu feature name across the ecosystem. A default build still compiles zero oxicuda. Pure Rust, Apache-2.0.
SciRS2 0.5.0 brings real pure-Rust wgpu/WebGPU acceleration — GpuNdarray, GPU graph algorithms, GPU optimizers (L-BFGS/CG/Newton), GPU RBF interpolation — plus correct Pantelides DAE index reduction, high-order SDE Lévy-area, Hilbert curves, and a maturing symbolic CAS. The NumPy/SciPy/scikit-learn replacement, in pure Rust.
OxiGDAL 0.1.5 is a focused fix release: a stray padding field in the RayMarchUniforms WGSL layout was shifting every field by 4 bytes, making the GPU compute kernel read a billion-step max and hang indefinitely on macOS Metal. With the layout corrected, the ray-march GPU/CPU parity test passes in 0.127s. 78 Pure Rust workspace crates, 14,605 passing tests.
TenfloweRS 0.1.1 is an ergonomics + compatibility patch for the pure-Rust TensorFlow alternative: a declarative tensor! macro, an expanded prelude (transformers and RNNs), ndarray interop, ONNX re-exports, wgpu v29 compatibility across 57 sites, and richer typed Python FFI errors.
Complete, type-safe, memory-safe rewrite of the entire NVIDIA CUDA Toolkit in pure Rust. cuBLAS/cuDNN/cuFFT/cuSPARSE/cuSOLVER/cuRAND and more — all in 253k SLoC across 28 crates. Only runtime dependency is the NVIDIA driver. PTX codegen + autotuner, 7 GPU backends (Metal/Vulkan/WebGPU/ROCm/LevelZero). ≥90–95% of native CUDA performance. The sovereign GPU computing layer for SciRS2 and the entire COOLJAPAN ecosystem (now 21M+ SLoC total).
High-performance ONNX runtime written entirely in pure Rust. Zero C/C++ dependencies, 147 operators fully supported, wgpu GPU acceleration, SIMD (AVX2/NEON), WASM + no_std ready, graph optimizer, async execution, model encryption. 30k+ SLoC, 590+ tests. The sovereign ONNX inference layer for SciRS2 and the entire COOLJAPAN ecosystem (now 21M+ SLoC total).