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Stochastic superoptimization

Open cwgoes opened this issue 5 years ago • 0 comments

Basically this paper - utilize sparse sampling (probably MCMC) to search the configuration space of semantically equivalent programs, and select the fastest. Will need a lot of clever tricks to avoid getting stuck in local minima (that paper details several).

See also STOKE.

cwgoes avatar May 25 '19 21:05 cwgoes