This change implements the GC pacer redesign outlined in #44167 and the accompanying design document, behind a GOEXPERIMENT flag that is on by default. In addition to adding the new pacer, this CL also includes code to track and account for stack and globals scan work in the pacer and in the assist credit system. The new pacer also deviates slightly from the document in that it increases the bound on the minimum trigger ratio from 0.6 (scaled by GOGC) to 0.7. The logic behind this change is that the new pacer much more consistently hits the goal (good!) leading to slightly less frequent GC cycles, but _longer_ ones (in this case, bad!). It turns out that the cost of having the GC on hurts throughput significantly (per byte of memory used), though tail latencies can improve by up to 10%! To be conservative, this change moves the value to 0.7 where there is a small improvement to both throughput and latency, given the memory use. Because the new pacer accounts for the two most significant sources of scan work after heap objects, it is now also safer to reduce the minimum heap size without leading to very poor amortization. This change thus decreases the minimum heap size to 512 KiB, which corresponds to the fact that the runtime has around 200 KiB of scannable globals always there, up-front, providing a baseline. Benchmark results: https://perf.golang.org/search?q=upload:20211001.6 tile38's KNearest benchmark shows a memory increase, but throughput (and latency) per byte of memory used is better. gopher-lua showed an increase in both CPU time and memory usage, but subsequent attempts to reproduce this behavior are inconsistent. Sometimes the overall performance is better, sometimes it's worse. This suggests that the benchmark is fairly noisy in a way not captured by the benchmarking framework itself. biogo-igor is the only benchmark to show a significant performance loss. This benchmark exhibits a very high GC rate, with relatively little work to do in each cycle. The idle mark workers are quite active. In the new pacer, mark phases are longer, mark assists are fewer, and some of that time in mark assists has shifted to idle workers. Linux perf indicates that the difference in CPU time can be mostly attributed to write-barrier slow path related calls, which in turn indicates that the write barrier being on for longer is the primary culprit. This also explains the memory increase, as a longer mark phase leads to more memory allocated black, surviving an extra cycle and contributing to the heap goal. For #44167. Change-Id: I8ac7cfef7d593e4a642c9b2be43fb3591a8ec9c4 Reviewed-on: https://go-review.googlesource.com/c/go/+/309869 Trust: Michael Knyszek <mknyszek@google.com> Run-TryBot: Michael Knyszek <mknyszek@google.com> TryBot-Result: Go Bot <gobot@golang.org> Reviewed-by: Austin Clements <austin@google.com> Reviewed-by: Michael Pratt <mpratt@google.com> |
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README.md
The Go Programming Language
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