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Benchmark Report

Job Properties

Commits: JuliaLang/julia@40f66ef8ac133a1f4d6da17be5eb8bbce22aed80 vs JuliaLang/julia@df0080c7830c1e1af577ea1b88b6b64d6f6d1ffa

Comparison Diff: link

Triggered By: link

Tag Predicate: "broadcast" || ("sparse" || ("array" || "union"))

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", "accumulate", ("accumulate!", "Int")] 1.07 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim2")] 1.45 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum", "Float64", "dim2")] 1.27 (5%) ❌ 1.00 (1%)
["array", "any/all", ("all", "Vector{Float32} generator")] 0.78 (5%) ✅ 1.00 (1%)
["array", "any/all", ("all", "Vector{Float32}")] 1.29 (5%) ❌ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float32} generator")] 0.77 (5%) ✅ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float32}")] 1.29 (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!"] 0.95 (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{Float64}")] 1.17 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 2048)] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 256)] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.95 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 0.95 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 0.92 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 0.95 (5%) ✅ 1.00 (1%)
["array", "index", "4d"] 1.09 (5%) ❌ 1.00 (1%)
["array", "index", ("sumelt", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.97 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 1.55 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "100000:-1:1")] 2.00 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32, 2}")] 1.75 (50%) ❌ 1.00 (1%)
["array", "reductions", ("norm1", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 1)] 0.95 (5%) ✅ 1.00 (1%)
["problem", "fem", "sparse_fem"] 1.13 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_devec"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.10 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 2, 31)] 1.36 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 0.48 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 63)] 0.65 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 3, 31)] 1.37 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float64", 2, 64)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float32", 2, 31)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float64", 2, 31)] 0.74 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int32", 4, 31)] 1.45 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 32)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 2, 31)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 2, 63)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 3, 31)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 31)] 0.65 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 63)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "auto_axpy!", "Float32", 4095)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "manual_example!", "Float32", 4096)] 1.28 (20%) ❌ 1.00 (1%)
["sparse", "transpose", ("transpose", "(600, 600)")] 1.42 (30%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 0)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "ComplexF64", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 0)] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 0)] 1.38 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "ComplexF64", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, false)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, true)")] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(true, true)")] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(true, true)")] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 0)] 0.67 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 0)] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, false)")] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(true, true)")] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, false)")] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, false)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Bool")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Float32")] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 0)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 0)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigInt", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Bool", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigFloat}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigInt}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float32}", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, Int64}", 0)] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Float64", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Int64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Int64}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Float32}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int64}", 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"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "mix_scalar_tuple"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["collection", "set operations"]
  • ["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 1.8.0-DEV.1071
Commit 40f66ef8ac (2021-11-26 16:51 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  3407 MHz     526435 s       5300 s     102750 s  238543882 s          0 s
       #2  3400 MHz   21066334 s       2452 s    1268739 s  216849878 s          0 s
       #3  3403 MHz     535176 s       2299 s      61482 s  238590297 s          0 s
       #4  3406 MHz     517013 s       2414 s      56939 s  238613751 s          0 s
       #5  3408 MHz     356358 s       2492 s      54571 s  238750630 s          0 s
       #6  3409 MHz     335986 s       2229 s      53450 s  238800581 s          0 s
       #7  3412 MHz     275833 s       2370 s      53139 s  238859571 s          0 s
       #8  3413 MHz     324888 s       2406 s      53046 s  238790015 s          0 s
       
  Memory: 30.362831115722656 GB (11482.328125 MB free)
  Uptime: 2.392009178e7 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.1068
Commit df0080c783 (2021-11-26 04:01 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  3401 MHz     526852 s       5300 s     102779 s  238607182 s          0 s
       #2  3400 MHz   21124982 s       2452 s    1272481 s  216851242 s          0 s
       #3  3402 MHz     535240 s       2299 s      61495 s  238653974 s          0 s
       #4  3419 MHz     517884 s       2414 s      56974 s  238676598 s          0 s
       #5  3418 MHz     356398 s       2492 s      54585 s  238814330 s          0 s
       #6  3422 MHz     336018 s       2229 s      53462 s  238864290 s          0 s
       #7  3429 MHz     275868 s       2370 s      53151 s  238923279 s          0 s
       #8  3414 MHz     324936 s       2406 s      53057 s  238853702 s          0 s
       
  Memory: 30.362831115722656 GB (10843.08984375 MB free)
  Uptime: 2.392646719e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.1 (ORCJIT, skylake-avx512)