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Benchmark Report

Job Properties

Commits: JuliaLang/julia@6afa3b1701d46c1c85b55d95cbba421680b80a81 vs JuliaLang/julia@2e388e3731fcdd8d1db4c1aed5c6a39df3ef7153

Comparison Diff: link

Triggered By: link

Tag Predicate: "union" || "array"

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", "any/all", ("all", "Vector{Float32}")] 1.29 (5%) ❌ 1.00 (1%)
["array", "any/all", ("all", "Vector{Float64} generator")] 0.79 (5%) ✅ 1.00 (1%)
["array", "any/all", ("all", "Vector{Float64}")] 0.79 (5%) ✅ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float32} generator")] 0.77 (5%) ✅ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float32}")] 1.30 (5%) ❌ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float64} generator")] 0.79 (5%) ✅ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float64}")] 0.78 (5%) ✅ 1.00 (1%)
["array", "bool", "bitarray_bool_load!"] 0.86 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_true_fill!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_true_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "convert", ("Float64", "Int")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == Vector{Float32}")] 0.77 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == Vector{Float64}")] 1.30 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "BitArray")] 0.83 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 1.17 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("append!", 8)] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs", "Int64")] 1.07 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 1)] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 10)] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 5)] 1.07 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.89 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 1.23 (5%) ❌ 1.00 (1%)
["simd", ("manual_example!", "Float64", 4096)] 0.79 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 1000)] 0.89 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.86 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bc", "sparse 50x500, dense 5x500 -> dense 50x5")] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x500, dense 5x500 -> dense 50x5")] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B!", "dense 400x400, sparse 400x400 -> dense 400x400")] 1.35 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B!", "dense 40x400, sparse 40x400 -> dense 400x400")] 1.35 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B!", "sparse 400x4000, dense 400x40 -> dense 4000x40")] 0.69 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x500 -> dense 5x500")] 1.83 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 1.94 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 5x5, sparse 5x500 -> dense 5x500")] 1.77 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "sparse 500x500, dense 500x5 -> dense 500x5")] 1.50 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_Bt!", "sparse 400x4000, dense 40x400 -> dense 4000x40")] 1.57 (30%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 1.23 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 1.25 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "square system (lu), vector rhs"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, true)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "ComplexF64", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int64", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, true)")] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, false)")] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "ComplexF64", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "ComplexF64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, false)")] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, true)")] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, false)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Bool")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Int8")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigInt", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 0)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 0)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "ComplexF64", 0)] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "ComplexF64", 1)] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Float32", 0)] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Float32", 1)] 1.36 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Float64", 0)] 1.38 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Float64", 1)] 1.38 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int64", 0)] 1.42 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int64", 1)] 1.38 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigFloat", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Bool", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int8", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Bool}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float32}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float64}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int64}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Bool}", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, ComplexF64}", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float32}", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float64}", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int64}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int8}", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigInt", 0)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigInt}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigInt}", 0)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int64}", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int8}", 0)] 1.06 (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"]
  • ["collection", "set operations"]
  • ["io", "array_limit"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["misc", "julia"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["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 1.8.0-DEV.838
Commit 6afa3b1701 (2021-10-29 10:14 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-1037-aws #39-Ubuntu SMP Thu Jan 14 02:56:06 UTC 2021 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz: 
              speed         user         nice          sys         idle          irq
       #1  3400 MHz     483696 s       5048 s      99108 s  214256925 s          0 s
       #2  3400 MHz   18457944 s       2332 s    1109822 s  195283208 s          0 s
       #3  3402 MHz     472073 s       2191 s      59098 s  214321471 s          0 s
       #4  3412 MHz     447624 s       2195 s      54043 s  214351771 s          0 s
       #5  3404 MHz     322447 s       2322 s      52304 s  214452242 s          0 s
       #6  3415 MHz     298500 s       2096 s      51156 s  214505854 s          0 s
       #7  3400 MHz     245996 s       2190 s      50952 s  214557081 s          0 s
       #8  3401 MHz     296111 s       2248 s      50870 s  214488499 s          0 s
       
  Memory: 30.362831115722656 GB (9052.140625 MB free)
  Uptime: 2.148655798e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.1 (ORCJIT, skylake-avx512)

Comparison Build

Julia Version 1.8.0-DEV.821
Commit 2e388e3731 (2021-10-26 06:33 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-1037-aws #39-Ubuntu SMP Thu Jan 14 02:56:06 UTC 2021 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz: 
              speed         user         nice          sys         idle          irq
       #1  3400 MHz     484025 s       5048 s      99135 s  214313318 s          0 s
       #2  3400 MHz   18510096 s       2332 s    1113135 s  195284499 s          0 s
       #3  3403 MHz     472125 s       2191 s      59111 s  214378164 s          0 s
       #4  3407 MHz     448480 s       2195 s      54076 s  214407639 s          0 s
       #5  3407 MHz     322507 s       2322 s      52316 s  214508927 s          0 s
       #6  3406 MHz     298536 s       2096 s      51171 s  214562561 s          0 s
       #7  3420 MHz     246072 s       2190 s      50964 s  214613748 s          0 s
       #8  3414 MHz     296189 s       2248 s      50883 s  214545159 s          0 s
       
  Memory: 30.362831115722656 GB (8826.0078125 MB free)
  Uptime: 2.149223373e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.1 (ORCJIT, skylake-avx512)