FMA

NanoGEMM, a bare-metal AVX2/FMA matrix multiplication engine, claims to outperform NumPy 2.2.3 on small-to-medium matrices, achieving a 2.83x speedup on 16x16 float32 matrices (1.23 µs vs 3.21 µs) but…

A developer on Hacker News has released a forward-only, autograd-free Physics-Informed Neural Network (PINN) that uses zero-copy memory interlock to reduce VRAM consumption to approximately 1/1000 of …

Llambda.lisp, a pure Common Lisp inference engine for running quantized large language models from .gguf files, achieves C-level throughput using AVX2/FMA acceleration and multi-threading without wrap…