JIT: fix count reconstruction when a natural loop contains an improper loop #100449
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…r loop If a natural loop contains an improper loop, the cyclic probability computation for the natural loop will be an understimate, as the cyclic probability computation assumes one pass convergence. In such cases count reconstruction may report convergence when it has not in fact converged, as any natural loop header ignores flow from its backedges, assuming their impact has been accounted for by the cyclic probability. So when a loop contains improper loops, fall back to normal iterative computation for the loop. We could use the cyclic probability initially as a convergence accelerator, but would need to switch over to not using it to guarantee full convergence. But that complicates the logic and these cases are rare.
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Tagging subscribers to this area: @JulieLeeMSFT, @jakobbotsch |
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@jakobbotsch @BruceForstall PTAL Locally one perf score diff (no asm diffs). Found while scouting changes for block count consistency after profile incorporation, with more widespread use of count repair than we do now. |
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BruceForstall
approved these changes
Mar 29, 2024
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If a natural loop contains an improper loop, the cyclic probability computation for the natural loop will be an underestimate, as the cyclic probability computation assumes one pass convergence.
In such cases count reconstruction may report convergence when it has not in fact converged, as any natural loop header ignores flow from its back edges, assuming their impact has been accounted for by the cyclic probability.
So, when a loop contains improper loops, fall back to normal iterative computation for the loop. We could use the cyclic probability initially as a convergence accelerator but would need to switch over to not using it to guarantee full convergence. But that complicates the logic, and these cases are rare.