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Benchmark Report

Job Properties

Commits: JuliaLang/julia@6151f740285fae17f180cd4ecab606b3411adb0f vs JuliaLang/julia@529ac5170277cdb654ce03698675ef27d99d1fab

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 interpretation", "abstract_call_gf_by_type"] 0.92 (5%) ✅ 0.96 (1%) ✅
["inference", "abstract interpretation", "construct_ssa!"] 0.92 (5%) ✅ 0.96 (1%) ✅
["inference", "abstract interpretation", "domsort_ssa!"] 0.92 (5%) ✅ 0.96 (1%) ✅
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.96 (5%) 0.96 (1%) ✅
["inference", "abstract interpretation", "rand(Float64)"] 0.95 (5%) 0.97 (1%) ✅
["inference", "abstract interpretation", "sin(42)"] 0.94 (5%) ✅ 0.95 (1%) ✅
["inference", "abstract_call_gf_by_type"] 1.07 (5%) ❌ 1.00 (1%)
["inference", "optimization", "abstract_call_gf_by_type"] 1.12 (5%) ❌ 1.07 (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.187
Commit 6151f74028 (2022-03-14 12:53 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  3434 MHz     197606 s        408 s      38616 s   51408030 s          0 s
       #2  3588 MHz    4013616 s        516 s     166122 s   47494698 s          0 s
       #3  3404 MHz     184801 s        376 s      31344 s   51449490 s          0 s
       #4  3321 MHz     128954 s        417 s      30376 s   51269289 s          0 s
  Memory: 31.32097625732422 GB (14363.01171875 MB free)
  Uptime: 5.17169531e6 sec
  Load Avg:  1.0  1.07  1.04
  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.185
Commit 529ac51702 (2022-03-14 11:56 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  3545 MHz     197692 s        408 s      38638 s   51415804 s          0 s
       #2  3668 MHz    4020562 s        516 s     166224 s   47495547 s          0 s
       #3  3506 MHz     185581 s        376 s      31371 s   51456578 s          0 s
       #4  3502 MHz     129038 s        417 s      30388 s   51277067 s          0 s
  Memory: 31.32097625732422 GB (14383.99609375 MB free)
  Uptime: 5.17248501e6 sec
  Load Avg:  1.03  1.03  1.01
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores