Skip to content

Latest commit

 

History

History
101 lines (80 loc) · 4.67 KB

report.md

File metadata and controls

101 lines (80 loc) · 4.67 KB
Raw

Benchmark Report

Job Properties

Commits: JuliaLang/julia@070996bd4773b2cae212b3f1d41bdc75e4e134d6 vs JuliaLang/julia@162b9e900bb0ec3bc32527dae9a0983743242766

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", "many_invoke_calls"] 0.90 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_local_vars"] 0.42 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 1.00 (5%) 1.02 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 0.90 (5%) ✅ 1.00 (1%)
["inference", "allinference", "many_local_vars"] 0.35 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_const_calls"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_invoke_calls"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_local_vars"] 0.93 (5%) ✅ 1.00 (1%)

Benchmark Group List

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

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

Version Info

Primary Build

Julia Version 1.10.0-DEV.799
Commit 070996bd47 (2023-03-10 16:12 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     116172 s      11204 s     119986 s   30676542 s          0 s
       #2  3900 MHz     854103 s       9130 s     129501 s   29990917 s          0 s
       #3  3900 MHz     113849 s       9182 s     119600 s   30708770 s          0 s
       #4  3516 MHz      98760 s       8586 s     125875 s   30687575 s          0 s
  Memory: 31.313323974609375 GB (19967.97265625 MB free)
  Uptime: 3.10527529e6 sec
  Load Avg:  1.03  1.03  1.09
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.10.0-DEV.797
Commit 162b9e900b (2023-03-10 07:58 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     116556 s      11239 s     120249 s   30689560 s          0 s
       #2  3900 MHz     866137 s       9130 s     129533 s   29992673 s          0 s
       #3  3900 MHz     115249 s       9182 s     119625 s   30721148 s          0 s
       #4  3514 MHz      99015 s       8586 s     125894 s   30701095 s          0 s
  Memory: 31.313323974609375 GB (19904.59375 MB free)
  Uptime: 3.10665814e6 sec
  Load Avg:  1.0  1.05  1.06
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores