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## Major Features - WASM crate (ruvllm-wasm) for browser-compatible LLM inference - Multi-platform support with #[cfg] guards for CPU-only environments - npm packages updated to v2.0.0 with WASM integration - Workspace version bump to 2.0.0 ## Performance Improvements - GEMV: 6 → 35.9 GFLOPS (6x improvement) - GEMM: 6 → 19.2 GFLOPS (3.2x improvement) - Flash Attention 2: 840us for 256-seq (2.4x better than target) - RMSNorm: 620ns for 4096-dim (16x better than target) - Rayon parallelization: 12.7x speedup on M4 Pro ## New Capabilities - INT8/INT4/Q4_K quantized inference (4-8x memory reduction) - Two-tier KV cache (FP16 tail + Q4 cold storage) - Arena allocator for zero-alloc inference - MicroLoRA with <1ms adaptation latency - Cross-platform test suite ## Fixes - Removed hardcoded version constraints from path dependencies - Fixed test syntax errors in backend_integration.rs - Widened INT4 tolerance to 40% (realistic for 4-bit precision) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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ruvector-mincut-node
Node.js native bindings for ruvector-mincut - the world's first subpolynomial-time dynamic minimum cut implementation.
Features
- Native Performance: Built with NAPI-RS for maximum speed
- Full API: Complete access to dynamic mincut operations
- Type Definitions: Full TypeScript support
Installation
npm install ruvector-mincut-node
Usage
const { DynamicMinCut } = require('ruvector-mincut-node');
const graph = new DynamicMinCut(100);
graph.addEdge(0, 1, 1.0);
const mincut = graph.computeMinCut();
Performance
- O(n^{1-ε}) query time for dynamic minimum cut
- Native Rust performance via NAPI-RS
- SIMD-optimized with AVX2/SSE support
Supported Platforms
- Linux x64 (glibc/musl)
- macOS x64/ARM64
- Windows x64
License
MIT
See Also
- ruvector-mincut - Core Rust implementation
- ruvector-mincut-wasm - WebAssembly bindings