Show HN: SC-NeuroCore – Rust neuromorphic compiler, 512× speedup

2 points

4 months ago

SC-NeuroCore is a verified Rust-based neuromorphic compiler that translates Python SNN definitions into optimized, bit-true stochastic bitstream logic for CPU/FPGA.

Key highlights: - 512.4× real-time speedup on LIF neuron updates (vs. legacy Python) - Bit-true equivalence with FPGA hardware (verified co-simulation, 8/8 tests) - Polymorphic engine: HDC/VSA (AVX-512), Petri Nets, fault-tolerant logic - Sub-10 µs inference latency, 40%+ bit-flip resilience - Install: pip install sc-neurocore-engine - Quick start: see notebooks/01_hdc_symbolic_query.ipynb (HDC demo)

GitHub: https://github.com/anulum/sc-neurocore Rust API docs: https://anulum.github.io/sc-neurocore

Built to bridge Python simulation and hardware deployment for neuromorphic computing. Happy to answer questions about the compiler, benchmarks, or verification.