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The focus of this work is finding the optimal ordering of optimization passes to perform, not doing neural compilation. This guarantees correct code, assuming t
by boomanaiden154 3y ago
The focus of this work is finding the optimal ordering of optimization passes to perform, not doing neural compilation. This guarantees correct code, assuming the underlying transformation passes are correct.
Most work in ML for compilers focuses on replacing heuristics and phase ordering precisely because they don't impact correctness. There is some work being done on neural compilation [1], but I'm not sure that's going to be a viable approach anytime soon.
1. https://ieeexplore.ieee.org/document/9926313 https://ieeexplore.ieee.org/document/9926313
- wyldfire 3y ago> phase ordering precisely because they don't impact correctness. lol let's say they're less likely to impact correctness than an arbitrary new optimization.
- ncruces 3y agoIf you find a bug, it's in the optimization passes (that don't reorder and should, if you decide to do this). At this point this is like (usefully) fuzzing your optimizer, which long term is going to be great for correctness.