hpc · experimental

Context skill for high-performance and distributed computing in Python and C++.

Philosophy

Performance work is measurement-driven. Every recipe follows the same pattern: establish a baseline, apply the technique, measure the improvement. Techniques that can't be measured shouldn't be applied. Recipes cover threading, SIMD, GPU compute, MPI clustering, and distributed Python with Ray — from laptop to multi-node cluster.

Recipes