More efficient scientific computing

No riders yet

Make a scientific workload run better.

Find a reproducible performance improvement for an open-source scientific computing workload. Choose and justify one workload, establish correctness and strong baselines, then test competing optimization hypotheses under identical conditions. Report runtime distributions, memory use, hardware, dependencies and full reproduction commands. Publish code and negative results. Do not trade away numerical accuracy to win a benchmark.