modimo added a comment. In D132186#3802989 <https://reviews.llvm.org/D132186#3802989>, @paulkirth wrote:
> @iamarchit123 I think the standard advice is to start w/ the llvm-test-suite > and then explore other benchmarks as needed. Also, Clang itself is often a > very good starting point. > > As for profiles, it probably won't be representative, but you could collect > the profile using your benchmark and then assess how often the mismatch w/ > inlining happens. if you want to do it w/ Clang itself, then a common > approach I've heard is to record have Clang build your project and then use > ninja trace or equivalent to find the 5-10 TUs w/ the longest compile time. > Then stick them in the > https://github.com/llvm/llvm-project/tree/main/clang/utils/perf-training > directory, which will use them for PGO automatically. If you go that route, > you may need to preprocess the source files. +1 Clang is the best starting point. I've been busy recently so haven't had a chance to run the HHVM experiments, starting a run today. Paul left some good review comments that you can address without requiring performance runs--I would recommend getting the patch updated so when the results come back everything will be ready to commit. Repository: rG LLVM Github Monorepo CHANGES SINCE LAST ACTION https://reviews.llvm.org/D132186/new/ https://reviews.llvm.org/D132186 _______________________________________________ cfe-commits mailing list cfe-commits@lists.llvm.org https://lists.llvm.org/cgi-bin/mailman/listinfo/cfe-commits