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This article uses a very contrived data set (bit manipulation), and also a "synthetically generated dataset", which would never occur in real life applications.
by gcc_programmer 10y ago
This article uses a very contrived data set (bit manipulation), and also a "synthetically generated dataset", which would never occur in real life applications. This means that the results are unreliable and need to be repeated on something more realisic, or at least on programs that are uses by peole in some context (spec2000, spec2006). Moreover, the authors never compare the performance with that of llvm or gcc on different levels of optimisations, or at least do not mention any of that.
- bunelr 10y agoThe authors of the original Stochastic superoptimization paper performed some comparison with the outputs of gcc. You can find their results in this paper: https://raw.githubusercontent.com/StanfordPL/stoke/develop/docs/papers/cacm16.pdf https://raw.githubusercontent.com/StanfordPL/stoke/develop/d... This is on the same type of dataset, as admittedly, these methods still don't scale all that well to extremely large programs.