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Benchmark Report

Job Properties

Commits: JuliaLang/julia@d2244b41937101fba400634679b2d35623ace965 vs JuliaLang/julia@9542577c8833d905eaab40af80e9ad9636998519

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", "accumulate", ("accumulate", "Int")] 0.95 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum", "Int")] 0.94 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.11 (5%) ❌ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.89 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd_setind", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("hcat", 5)] 1.22 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.82 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.12 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sum", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.12 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 5)] 1.06 (5%) ❌ 1.00 (1%)
["collection", "deletion", ("Set", "Any", "filter")] 1.32 (25%) ❌ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 0.67 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", ("IdDict", "Any", "in", "true")] 1.34 (25%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Bool}")] 1.05 (5%) ❌ 1.00 (1%)
["inference", "optimization", "println(::QuoteNode)"] 0.90 (5%) ✅ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 1.11 (5%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.91 (5%) ✅ 1.00 (1%)
["micro", "printfd"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.85 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.09 (5%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 4, 31)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 4, 63)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_axpy!", "Float64", 4095)] 1.86 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "axpy!", "Float64", 4095)] 1.86 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), matrix rhs"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1000"] 1.11 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 50000"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(8, 8)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, true)")] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(true, true)")] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 1)] 0.95 (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)] 0.95 (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"]
  • ["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", "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 1.8.0-DEV.1560
Commit d2244b4193 (2022-02-15 15:43 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  3500 MHz     156429 s        356 s      24823 s   28350322 s          0 s
       #2  3500 MHz    2837263 s        241 s     114249 s   25606503 s          0 s
       #3  3500 MHz     170869 s        244 s      17540 s   28366467 s          0 s
       #4  3500 MHz     114573 s        218 s      17007 s   28286779 s          0 s
  Memory: 31.32097625732422 GB (9308.609375 MB free)
  Uptime: 2.8584355e6 sec
  Load Avg:  1.05  1.02  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.8.0-DEV.1558
Commit 9542577c88 (2022-02-15 13:17 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  3508 MHz     156840 s        356 s      24993 s   28451355 s          0 s
       #2  3502 MHz    2934388 s        241 s     117212 s   25608371 s          0 s
       #3  3644 MHz     172220 s        244 s      17582 s   28467004 s          0 s
       #4  3505 MHz     114923 s        218 s      17026 s   28388011 s          0 s
  Memory: 31.32097625732422 GB (9243.0390625 MB free)
  Uptime: 2.86863156e6 sec
  Load Avg:  1.06  1.03  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores