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perf: Don't track specific live points for promoteds #120003
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r? @davidtwco (rustbot has picked a reviewer for you, use r? to override) |
@bors try @rust-timer queue |
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perf: Don't track specific live points for promoteds We don't query this information out of the promoted (it's basically a single "unit" regardless of the complexity within it) and this saves on re-initializing the SparseIntervalMatrix's backing IndexVec with mostly empty rows for all of the leading regions in the function. Typical promoteds will only contain a few regions that need up be uplifted, while the parent function can have thousands. For a simple function repeating println!("Hello world"); 50,000 times this reduces compile times from 90 to 15 seconds in debug mode. The previous implementations re-initialization led to an overall roughly n^2 runtime as each promoted initialized slots for ~n regions, now we scale closer to linearly (5000 hello worlds takes 1.1 seconds). cc rust-lang#50994
☀️ Try build successful - checks-actions |
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Finished benchmarking commit (6c5cf74): comparison URL. Overall result: ❌ regressions - ACTION NEEDEDBenchmarking this pull request likely means that it is perf-sensitive, so we're automatically marking it as not fit for rolling up. While you can manually mark this PR as fit for rollup, we strongly recommend not doing so since this PR may lead to changes in compiler perf. Next Steps: If you can justify the regressions found in this try perf run, please indicate this with @bors rollup=never Instruction countThis is a highly reliable metric that was used to determine the overall result at the top of this comment.
Max RSS (memory usage)ResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
CyclesResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
Binary sizeThis benchmark run did not return any relevant results for this metric. Bootstrap: 666.532s -> 665.384s (-0.17%) |
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@bors try @rust-timer queue |
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perf: Don't track specific live points for promoteds We don't query this information out of the promoted (it's basically a single "unit" regardless of the complexity within it) and this saves on re-initializing the SparseIntervalMatrix's backing IndexVec with mostly empty rows for all of the leading regions in the function. Typical promoteds will only contain a few regions that need up be uplifted, while the parent function can have thousands. For a simple function repeating println!("Hello world"); 50,000 times this reduces compile times from 90 to 15 seconds in debug mode. The previous implementations re-initialization led to an overall roughly n^2 runtime as each promoted initialized slots for ~n regions, now we scale closer to linearly (5000 hello worlds takes 1.1 seconds). cc rust-lang#50994, rust-lang#86244
☀️ Try build successful - checks-actions |
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Finished benchmarking commit (b01358a): comparison URL. Overall result: no relevant changes - no action neededBenchmarking this pull request likely means that it is perf-sensitive, so we're automatically marking it as not fit for rolling up. While you can manually mark this PR as fit for rollup, we strongly recommend not doing so since this PR may lead to changes in compiler perf. @bors rollup=never Instruction countThis benchmark run did not return any relevant results for this metric. Max RSS (memory usage)ResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
CyclesResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
Binary sizeThis benchmark run did not return any relevant results for this metric. Bootstrap: 664.881s -> 664.279s (-0.09%) |
Alright, that eliminated the regression in perf benchmarks and this still is a significant win for the toy examples in #50994 and #86244, so I think this is ready to be reviewed. I'm not sure how I feel about the additional complexity here for what is relatively speaking a pretty rare case... but I don't see trivial ways to make things cleaner and it does seem like the pathological cases could be seen in practical programs (e.g., due to macros emitting a bunch of promoteds and a large function). |
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This seems reasonable to me
r=me after rebase |
We don't query this information out of the promoted (it's basically a single "unit" regardless of the complexity within it) and this saves on re-initializing the SparseIntervalMatrix's backing IndexVec with mostly empty rows for all of the leading regions in the function. Typical promoteds will only contain a few regions that need up be uplifted, while the parent function can have thousands. For a simple function repeating println!("Hello world"); 50,000 times this reduces compile times from 90 to 15 seconds in debug mode. The previous implementations re-initialization led to an overall roughly n^2 runtime as each promoted initialized slots for ~n regions, now we scale closer to linearly (5000 hello worlds takes 1.1 seconds).
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@bors r=davidtwco |
☀️ Test successful - checks-actions |
Finished benchmarking commit (227abac): comparison URL. Overall result: ❌ regressions - no action needed@rustbot label: -perf-regression Instruction countThis is a highly reliable metric that was used to determine the overall result at the top of this comment.
Max RSS (memory usage)ResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
CyclesThis benchmark run did not return any relevant results for this metric. Binary sizeResultsThis is a less reliable metric that may be of interest but was not used to determine the overall result at the top of this comment.
Bootstrap: 665.922s -> 665.464s (-0.07%) |
We don't query this information out of the promoted (it's basically a single "unit" regardless of the complexity within it) and this saves on re-initializing the SparseIntervalMatrix's backing IndexVec with mostly empty rows for all of the leading regions in the function. Typical promoteds will only contain a few regions that need up be uplifted, while the parent function can have thousands.
For a simple function repeating println!("Hello world"); 50,000 times this reduces compile times from 90 to 15 seconds in debug mode. The previous implementations re-initialization led to an overall roughly n^2 runtime as each promoted initialized slots for ~n regions, now we scale closer to linearly (5000 hello worlds takes 1.1 seconds).
cc #50994, #86244