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Benchmark Report

Job Properties

Commits: JuliaLang/julia@e637f099d3ce15468c8cf17fddc9ff3bf1694e2d vs JuliaLang/julia@1eee6ef7c830751255ca99d2fe66fe2897a60bcf

Comparison Diff: link

Triggered By: link

Tag Predicate: "linalg" || ("inference" || "sparse")

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", "REPL.REPLCompletions.completions"] 2.10 (5%) ❌ 2.54 (1%) ❌
["inference", "allinference", "REPL.REPLCompletions.completions"] 2.89 (5%) ❌ 2.75 (1%) ❌
["inference", "optimization", "many_method_matches"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)

Benchmark Group List

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

  • ["broadcast", "sparse"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["problem", "fem"]
  • ["problem", "laplacian"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]

Version Info

Primary Build

Julia Version 1.10.0-DEV.933
Commit e637f099d3 (2023-04-01 07:16 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     216439 s      22791 s     236925 s   49071801 s          0 s
       #2  3900 MHz    2044481 s      17819 s     258240 s   47313301 s          0 s
       #3  3500 MHz     214445 s      17980 s     214596 s   49112734 s          0 s
       #4  3900 MHz     172240 s      15858 s     223495 s   49116847 s          0 s
  Memory: 31.313323974609375 GB (20944.9609375 MB free)
  Uptime: 4.97589341e6 sec
  Load Avg:  1.01  1.04  1.05
  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.931
Commit 1eee6ef7c8 (2023-04-01 03:25 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     216708 s      22830 s     237244 s   49100877 s          0 s
       #2  3900 MHz    2072904 s      17819 s     258489 s   47314536 s          0 s
       #3  3493 MHz     215130 s      17980 s     214627 s   49141864 s          0 s
       #4  3900 MHz     172837 s      15858 s     223512 s   49146078 s          0 s
  Memory: 31.313323974609375 GB (20929.9140625 MB free)
  Uptime: 4.97888445e6 sec
  Load Avg:  1.04  1.08  1.03
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores