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Benchmark Report

Job Properties

Commits: JuliaLang/julia@4bb250c5cad0f99a311df2b40ce3db761c5137dd vs JuliaLang/julia@00177ebc4fcadaaa37c4c2cbca2f9db75ba4d8e3

Comparison Diff: link

Triggered By: link

Tag Predicate: ALL

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")] 1.22 (5%) ❌ 1.00 (1%)
["array", "bool", "bitarray_bool_load!"] 0.93 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.69 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "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 Vector{Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", ("append!", 8)] 1.09 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 0.87 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 0.38 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup_x3")] 0.52 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.42 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 1.20 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 0.73 (5%) ✅ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "Vector")] 1.30 (25%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 0.92 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.11 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.11 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.90 (5%) ✅ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.90 (5%) ✅ 1.00 (1%)
["dates", "conversion", "DateTime -> Date"] 0.84 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Titlecase")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 1.15 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float64}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.16 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float32}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 1.14 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int64}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 1.13 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "broadcasting"] 1.00 (5%) 0.99 (1%) ✅
["io", "read", "readstring"] 1.13 (5%) ❌ 1.00 (1%)
["io", "serialization", ("serialize", "Matrix{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.16 (5%) ❌ 1.00 (1%)
["micro", "fib"] 1.15 (5%) ❌ 1.00 (1%)
["micro", "parseint"] 1.10 (5%) ❌ 1.00 (1%)
["micro", "printfd"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Complex{Float64}"] 1.40 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.65 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.53 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.91 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 3.33 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.30 (5%) ❌ 1.00 (1%)
["problem", "json", "parse_json"] 0.69 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.10 (5%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small Dict")] 1.28 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small String")] 1.27 (25%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.56 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x positive", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("very small", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "intfuncs", ("#3", "Int64", "+")] 0.56 (25%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["string", "findfirst", "String"] 1.08 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.17 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 0.76 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.71 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 1.59 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 1.36 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int64", 0)] 0.69 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Float64", 1)] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, Int64}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.88 (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"]
  • ["scalar", "acos"]
  • ["scalar", "acosh"]
  • ["scalar", "arithmetic"]
  • ["scalar", "asin"]
  • ["scalar", "asinh"]
  • ["scalar", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "atanh"]
  • ["scalar", "cbrt"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "exp2"]
  • ["scalar", "expm1"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "sinh"]
  • ["scalar", "tan"]
  • ["scalar", "tanh"]
  • ["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 1.8.4
Commit 4bb250c5ca (2023-01-02 22:25 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3355 MHz     482049 s        870 s      91849 s  125609499 s          0 s
       #2  3516 MHz    9702074 s        475 s     270736 s  116295585 s          0 s
       #3  3493 MHz     493256 s        450 s      66888 s  125701545 s          0 s
       #4  3629 MHz     365826 s        519 s      64036 s  125633340 s          0 s
  Memory: 31.320838928222656 GB (18520.80078125 MB free)
  Uptime: 1.2637246e7 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

Comparison Build

Julia Version 1.8.4
Commit 00177ebc4f (2022-12-23 21:32 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3768 MHz     482305 s        872 s      92094 s  125746706 s          0 s
       #2  3532 MHz    9834076 s        475 s     275878 s  116296683 s          0 s
       #3  3524 MHz     494226 s        450 s      66917 s  125838744 s          0 s
       #4  3528 MHz     365873 s        519 s      64049 s  125771112 s          0 s
  Memory: 31.320838928222656 GB (18578.65625 MB free)
  Uptime: 1.265107053e7 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