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Benchmark Report

Job Properties

Commits: JuliaLang/julia@73e8c2a04deebe74487a51ef93605bdd4689fbe9 vs JuliaLang/julia@4dfce5d5a5efcb87ebe92b2c8e943a0870c2eae9

Comparison Diff: link

Triggered By: link

Tag Predicate: !"scalar"

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", "cat", ("hcat", 5)] 1.29 (5%) ❌ 1.00 (1%)
["array", "convert", ("Complex{Float64}", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.89 (5%) ✅ 1.00 (1%)
["array", "index", ("mapr_access", "SubArray{Float32, 2, Base.ReshapedArray{Float32, 2, SubArray{Float32, 3, Array{Float32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 1.92 (50%) ❌ 1.00 (1%)
["array", "index", ("mapr_access", "SubArray{Int32, 2, Base.ReshapedArray{Int32, 2, SubArray{Int32, 3, Array{Int32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 1.79 (50%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 2.82 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 2.81 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 1.28 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "push!", "new")] 3.09 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "push!", "overwrite")] 3.09 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "BitSet")] 1.50 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "BitSet")] 1.51 (25%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 1.17 (5%) ❌ 1.00 (1%)
["dates", "accessor", "minute"] 1.49 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.92 (5%) ✅ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.82 (5%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 0.90 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 0.87 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 0.28 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Bool}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_invoke_calls"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 0.91 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_invoke_calls"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.74 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.88 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.08 (5%) ❌ 1.00 (1%)
["problem", "imdb", "centrality"] 0.98 (5%) 0.99 (1%) ✅
["random", "collections", ("rand!", "ImplicitRNG", "large Set")] 1.26 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small BitSet")] 1.32 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small Set")] 1.27 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "MersenneTwister", "small BitSet")] 1.25 (25%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 31)] 2.07 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 1.29 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 3, 32)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.72 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 63)] 1.42 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 31)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 2, 31)] 0.75 (20%) ✅ 1.00 (1%)
["sort", "insertionsort", "sort forwards"] 1.23 (20%) ❌ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.00 (20%) 0.97 (1%) ✅
["sparse", "constructors", ("IV", 10)] 1.27 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("IV", 100)] 1.10 (5%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 500x500, dense 500x5 -> dense 500x5")] 1.38 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 50x500, dense 500x5 -> dense 50x5")] 1.47 (30%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.19 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.38 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 0.77 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(16,)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8,)")] 0.84 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16, 16)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 0.76 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.52 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 0.47 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(true, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float32", 1)] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.24 (5%) ❌ 1.00 (1%)

Benchmark Group List

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

  • ["alloc"]
  • ["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", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find", "findall"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "chaosgame"]
  • ["problem", "fem"]
  • ["problem", "go"]
  • ["problem", "grigoriadis khachiyan"]
  • ["problem", "imdb"]
  • ["problem", "json"]
  • ["problem", "laplacian"]
  • ["problem", "monte carlo"]
  • ["problem", "raytrace"]
  • ["problem", "seismic"]
  • ["problem", "simplex"]
  • ["problem", "spellcheck"]
  • ["problem", "stockcorr"]
  • ["problem", "ziggurat"]
  • ["random", "collections"]
  • ["random", "randstring"]
  • ["random", "ranges"]
  • ["random", "sequences"]
  • ["random", "types"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "issues"]
  • ["sort", "length = 10"]
  • ["sort", "length = 100"]
  • ["sort", "length = 1000"]
  • ["sort", "length = 10000"]
  • ["sort", "length = 3"]
  • ["sort", "length = 30"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.12.0-DEV.942
Commit 73e8c2a04d (2024-07-29 08:50 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3502 MHz     172500 s         84 s      46136 s   42503228 s          0 s
       #2  3501 MHz    1663008 s         62 s      49527 s   41023843 s          0 s
       #3  3500 MHz     117919 s         65 s      24556 s   42590497 s          0 s
       #4  3500 MHz     117178 s         43 s      30637 s   42566004 s          0 s
       #5  3503 MHz      96934 s         30 s      21057 s   42578681 s          0 s
       #6  3503 MHz     109536 s         28 s      29254 s   42367148 s          0 s
       #7  3501 MHz     112261 s         67 s      24596 s   42556698 s          0 s
       #8  3503 MHz     101091 s         35 s      20108 s   42594652 s          0 s
  Memory: 31.30148696899414 GB (23412.87890625 MB free)
  Uptime: 4.27552615e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-17.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.12.0-DEV.939
Commit 4dfce5d5a5 (2024-07-29 05:47 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     173300 s         84 s      46645 s   42612991 s          0 s
       #2  3500 MHz    1771585 s         62 s      51395 s   41024776 s          0 s
       #3  3500 MHz     118549 s         65 s      24570 s   42701213 s          0 s
       #4  3501 MHz     117230 s         43 s      30642 s   42677301 s          0 s
       #5  3504 MHz      97083 s         30 s      21061 s   42689808 s          0 s
       #6  3501 MHz     109665 s         28 s      29261 s   42478225 s          0 s
       #7  3503 MHz     112304 s         67 s      24603 s   42668013 s          0 s
       #8  3503 MHz     101212 s         35 s      20117 s   42705881 s          0 s
  Memory: 31.30148696899414 GB (23458.375 MB free)
  Uptime: 4.28666395e6 sec
  Load Avg:  1.08  1.02  1.01
  WORD_SIZE: 64
  LLVM: libLLVM-17.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)