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Benchmark Report

Job Properties

Commits: JuliaLang/julia@da80016943bd4dcf38a201f7d1af03fbe1d2ce9c vs JuliaLang/julia@902a5c199d590552758f7a91cc75c47ea67de5f2

Comparison Diff: link

Triggered By: link

Tag Predicate: "array" || ("sparse" || "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
["array", "bool", "boolarray_bool_load!"] 0.92 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd_setind", 5)] 0.85 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.22 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", ("append!", 8)] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", ("mean", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["simd", ("Linear", "manual_example!", "Float32", 4095)] 0.78 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 10)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Float64", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, ComplexF64}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 0.78 (5%) ✅ 1.00 (1%)

Benchmark Group List

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

  • ["array", "accumulate"]
  • ["array", "any/all"]
  • ["array", "bool"]
  • ["array", "cat"]
  • ["array", "comprehension"]
  • ["array", "convert"]
  • ["array", "equality"]
  • ["array", "growth"]
  • ["array", "index"]
  • ["array", "reductions"]
  • ["array", "reverse"]
  • ["array", "setindex!"]
  • ["array", "subarray"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["inference", "abstract interpretation"]
  • ["inference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["misc", "julia"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "fem"]
  • ["problem", "laplacian"]
  • ["simd"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.9.0-DEV.472
Commit da80016943 (2022-05-06 05:41 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  3636 MHz     320926 s        912 s      63513 s   96773902 s          0 s
       #2  3518 MHz    5382658 s        618 s     228211 s   91614948 s          0 s
       #3  3504 MHz     335714 s        607 s      50126 s   96830449 s          0 s
       #4  3504 MHz     229934 s        705 s      48587 s   96572531 s          0 s
  Memory: 31.32097625732422 GB (16369.234375 MB free)
  Uptime: 9.73110879e6 sec
  Load Avg:  1.04  1.03  1.0
  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.470
Commit 902a5c199d (2022-05-05 15:00 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  3505 MHz     321572 s        912 s      63655 s   96841266 s          0 s
       #2  3517 MHz    5447170 s        618 s     230386 s   91616650 s          0 s
       #3  3502 MHz     336560 s        607 s      50156 s   96897944 s          0 s
       #4  3503 MHz     230290 s        705 s      48603 s   96640412 s          0 s
  Memory: 31.32097625732422 GB (16072.16796875 MB free)
  Uptime: 9.73794813e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores