19 posts
SciRS2 0.6.1 replaces placeholder and silently-wrong code paths with real implementations: genuine model-serving codegen, a critical DLPack SIGBUS fix, honest GPU-dispatch and hardware-detection reporting, and a symbolic-engine soundness fix — plus F-distribution ppf, spatial hamming distance, and new finance facades. Pure Rust, Apache-2.0.
OxiCUDA 0.5.0, the sovereign GPU-compute layer for the COOLJAPAN ecosystem, fixes F64-precision PTX codegen bugs that made ptxas reject elementwise and reduction kernels, closes a mixed-precision GEMM accumulator bug, and hits zero unwrap()/expect() in library code. 38,622 tests, ~1.30M SLoC, 73 crates.
sklears 0.2.0 ships sklears-core::gpu, a real oxicuda-backed CUDA foundation (GpuBackend, GpuArray, GpuMatrixOps) powering on-device GEMM, Cholesky/LU/QR/SVD solves, and HNSW k-NN across 9 downstream crates, plus a wide correctness sweep. 12,721 tests passing, 36 crates, >99% scikit-learn API coverage held.
TrustformeRS 0.2.0 gives CUDA the same device-resident attention pipeline Metal already had, adds batched CUDA matmul and refcounted GPU buffers, fixes a silent CUDA data race, and drops the torch/libtorch backend workspace-wide. The sovereign transformer layer for the COOLJAPAN ecosystem.
OxiCUDA 0.4.1 extends on-device GPU validation into BLAS, DNN, and the driver/memory/launch stack, catching concurrency races that single-threaded testing can't. Plus the first correctness pass across five non-CUDA backends and real driver-backed CUDA Graph capture. 38,612 tests, ~1.28M SLoC, 73 crates.
TrustformeRS 0.1.4 migrates CUDA and Metal from cudarc/scirs2-MPS to the Pure-Rust oxicuda stack, passes 12/12 CPU↔CUDA parity tests on a real RTX A4000, ships real PyRwkvModel/PyMambaModel classes on PyO3 0.28, and goes unwrap()-free workspace-wide. The sovereign transformer layer for the COOLJAPAN ecosystem.
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.
ToRSh 0.1.3 lands the oxicuda GPU backend (no CUDA SDK at build time), eliminates the last C/asm dependency, ships a bandwidth-optimal ring all-reduce, completes the Node.js N-API layer, and delivers 15–30% throughput gains from phase-4 chunking helpers.
phop 0.1.0 — a pure-Rust differentiable symbolic-discovery engine that learns the topology and constants of closed-form laws by gradient descent over trees of a single operator, eml(x,y)=exp(x)−ln(y), then certifies and SMT/Lean-proves them. Runs the whole pipeline in the browser via WASM.
Pure-Rust legal statute engine. 0.1.6 adds real NVIDIA CUDA GPU acceleration for population-scale simulation (optional, with transparent CPU fallback), a hardened security/governance API layer, an autonomous and post-quantum-safe compliance audit subsystem, legal analytics with risk heatmaps, French civil/company law, and a fully C-free storage backend via OxiSQL. 18,398 tests passing.
This patch adds exact finite-trace LTL operators (Next/Until/Release/WeakUntil/StrongRelease), tape-based GPU autodiff on OxiCUDA, Monte Carlo + variational probabilistic execution, SPARQL-as-tensor evaluation, neural architecture search, and SVM kernels — all on the SciRS2 stack, all Pure Rust.
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.
Pure Rust FFT and the rustfft replacement. OxiFFT 0.3.0 lands an FFT-based Makhoul DCT (~4× flop reduction), a 7-gate FFTW parity harness, GPU batch FFT with auto-chunking, 3D pencil MPI, a cache-oblivious 4-step transform, and real WASM SIMD v128 — 1360 tests passing, default build still 100% Rust.
Five days after its 1-bit debut, OxiBonsai grows GPUs: a native CUDA NVRTC backend (~21.9 tok/s on Ternary-Bonsai-1.7B, RTX 3060) and a fused Metal full-forward path (~50 tok/s, ~13x speedup) — plus the new ternary TQ2_0_g128 quant family, with NEON/AVX2/AVX-512 GEMV so it flies on CPU too. Sub-2-bit Pure Rust sovereign AI inference for the COOLJAPAN ecosystem, still with no llama.cpp, no BLAS, no C/Fortran.
SciRS2 0.4.2 — pure-Rust SciPy/NumPy/scikit-learn replacement, 2.94M SLoC, 27,632 tests, 29 crates. This release adds Neural Architecture Search, CMA-ES, Mamba SSM, async/unified GPU memory, H-matrix compression, streaming FFT, DLPack zero-copy, and Apache Iceberg/DataFusion IO. No C/Fortran.
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).
SciPy-compatible scientific computing and AI framework in 100% Pure Rust. 2.91M SLoC, 29 crates, 25,800+ tests. Flash Attention 2, LoRA/DoRA/GPTQ, ONNX export, GPU PDE/FFT/SpMV, Temporal GNNs, NeRF/instant-NGP, WebGPU backend, Delta Lake / Kafka I/O and more. 10–100× faster, zero system deps. The sovereign scientific computing and AI foundation for the entire COOLJAPAN ecosystem (now 21M+ SLoC total).
High-performance numerical computing library in pure Rust — the production-grade NumPy alternative. 222k+ SLoC, 4,704+ tests, 128+ SIMD-vectorized functions, N-dimensional arrays, advanced linalg via OxiBLAS, automatic differentiation, FFT, GPU (wgpu), Python bindings (PyO3), Arrow interop. 80–172% of OpenBLAS performance, zero C/Fortran deps. The sovereign numerical layer for SciRS2 and the entire COOLJAPAN ecosystem (now 21M+ SLoC total).