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authorBen Gamari <ben@smart-cactus.org>2020-02-03 11:20:11 -0500
committerMarge Bot <ben+marge-bot@smart-cactus.org>2020-04-07 18:36:09 -0400
commit3d2991f8b4c1b686323b2c9452ce845a60b8d94c (patch)
treea8f89e7ca56fbb2543c450b7e85dfaed11634ae4 /compiler/GHC/Iface/Load.hs-boot
parentbcd668593e1c9e00c5d9c72960b4833dd526cb9a (diff)
downloadhaskell-3d2991f8b4c1b686323b2c9452ce845a60b8d94c.tar.gz
simplifier: Kill off ufKeenessFactor
We used to have another factor, ufKeenessFactor, which would scale the discounts before they were subtracted from the size. This was justified with the following comment: -- We multiple the raw discounts (args_discount and result_discount) -- ty opt_UnfoldingKeenessFactor because the former have to do with -- *size* whereas the discounts imply that there's some extra -- *efficiency* to be gained (e.g. beta reductions, case reductions) -- by inlining. However, this is highly suspect since it means that we subtract a *scaled* size from an absolute size, resulting in crazy (e.g. negative) scores in some cases (#15304). We consequently killed off ufKeenessFactor and bumped up the ufUseThreshold to compensate. Adjustment of unfolding use threshold ===================================== Since this removes a discount from our inlining heuristic, I revisited our default choice of -funfolding-use-threshold to minimize the change in overall inlining behavior. Specifically, I measured runtime allocations and executable size of nofib and the testsuite performance tests built using compilers (and core libraries) built with several values of -funfolding-use-threshold. This comes as a result of a quantitative comparison of testsuite performance and code size as a function of ufUseThreshold, comparing GHC trees using values of 50, 60, 70, 80, 90, and 100. The test set consisted of nofib and the testsuite performance tests. A full summary of these measurements are found in the description of !2608 Comparing executable sizes (relative to the base commit) across all nofib tests, we see that sizes are similar to the baseline: gmean min max median thresh 50 -6.36% -7.04% -4.82% -6.46% 60 -5.04% -5.97% -3.83% -5.11% 70 -2.90% -3.84% -2.31% -2.92% 80 -0.75% -2.16% -0.42% -0.73% 90 +0.24% -0.41% +0.55% +0.26% 100 +1.36% +0.80% +1.64% +1.37% baseline +0.00% +0.00% +0.00% +0.00% Likewise, looking at runtime allocations we see that 80 gives slightly better optimisation than the baseline: gmean min max median thresh 50 +0.16% -0.16% +4.43% +0.00% 60 +0.09% -0.00% +3.10% +0.00% 70 +0.04% -0.09% +2.29% +0.00% 80 +0.02% -1.17% +2.29% +0.00% 90 -0.02% -2.59% +1.86% +0.00% 100 +0.00% -2.59% +7.51% -0.00% baseline +0.00% +0.00% +0.00% +0.00% Finally, I had to add a NOINLINE in T4306 to ensure that `upd` is worker-wrappered as the test expects. This makes me wonder whether the inlining heuristic is now too liberal as `upd` is quite a large function. The same measure was taken in T12600. Wall clock time compiling Cabal with -O0 thresh 50 60 70 80 90 100 baseline build-Cabal 93.88 89.58 92.59 90.09 100.26 94.81 89.13 Also, this change happens to avoid the spurious test output in `plugin-recomp-change` and `plugin-recomp-change-prof` (see #17308). Metric Decrease: hie002 T12234 T13035 T13719 T14683 T4801 T5631 T5642 T9020 T9872d T9961 Metric Increase: T12150 T12425 T13701 T14697 T15426 T1969 T3064 T5837 T6048 T9203 T9872a T9872b T9872c T9872d haddock.Cabal haddock.base haddock.compiler
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