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Benchmark Report

Job Properties

Commits: JuliaLang/julia@07093784a68cb554da8fe25f1d34f92a3c9923e0 vs JuliaLang/julia@9b106adcdff120cdfc1fb0c0d6c50b68a787ce95

Comparison Diff: link

Triggered By: link

Tag Predicate: "inference"

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["inference", "abstract_call_gf_by_type"] 0.97 (5%) 0.97 (1%) ✅
["inference", "construct_ssa!"] 0.98 (5%) 0.98 (1%) ✅
["inference", "domsort_ssa!"] 0.98 (5%) 0.98 (1%) ✅
["inference", "optimization", "abstract_call_gf_by_type"] 1.00 (5%) 0.97 (1%) ✅
["inference", "optimization", "construct_ssa!"] 0.97 (5%) 0.97 (1%) ✅
["inference", "optimization", "domsort_ssa!"] 0.97 (5%) 0.96 (1%) ✅
["inference", "optimization", "println(::QuoteNode)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "rand(Float64)"] 1.02 (5%) 0.93 (1%) ✅
["inference", "optimization", "sin(42)"] 1.00 (5%) 0.99 (1%) ✅
["inference", "println(::QuoteNode)"] 0.99 (5%) 0.99 (1%) ✅
["inference", "rand(Float64)"] 0.98 (5%) 0.99 (1%) ✅
["inference", "sin(42)"] 0.97 (5%) 0.99 (1%) ✅

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["inference", "abstract interpretation"]
  • ["inference"]
  • ["inference", "optimization"]

Version Info

Primary Build

Julia Version 1.9.0-DEV.626
Commit 07093784a6 (2022-05-21 05:01 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3534 MHz     399678 s       1044 s      73734 s  109540961 s          0 s
       #2  3509 MHz    6940256 s        747 s     298216 s  102852072 s          0 s
       #3  3508 MHz     421540 s        691 s      58019 s  109600060 s          0 s
       #4  3503 MHz     297337 s        794 s      56175 s  109326663 s          0 s
  Memory: 31.32097625732422 GB (14541.53125 MB free)
  Uptime: 1.101853729e7 sec
  Load Avg:  1.0  1.09  1.07
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.9.0-DEV.624
Commit 9b106adcdf (2022-05-21 03:09 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3550 MHz     399776 s       1044 s      73756 s  109548271 s          0 s
       #2  3535 MHz    6946672 s        747 s     298303 s  102853013 s          0 s
       #3  3532 MHz     422433 s        691 s      58048 s  109606579 s          0 s
       #4  3565 MHz     297402 s        794 s      56186 s  109334015 s          0 s
  Memory: 31.32097625732422 GB (14550.0234375 MB free)
  Uptime: 1.101928173e7 sec
  Load Avg:  1.01  1.04  1.06
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores