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Benchmark Report

Job Properties

Commits: JuliaLang/julia@8df0552ddb8826a4dbebce58ae78c264632bf158 vs JuliaLang/julia@97ccb970c0a8b1936e969b34fdc3c692234306f4

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", "cat", ("catnd", 5)] 0.80 (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", "reverse", "rev_load_fast!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 0.93 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 3)] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.84 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 0.83 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 0.91 (5%) ✅ 1.00 (1%)
["collection", "iteration", ("Dict", "Any", "iterate second")] 0.74 (25%) ✅ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 0.62 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 1.26 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "BitSet")] 1.46 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "BitSet")] 1.47 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 1.29 (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"] 1.09 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 1.07 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Titlecase")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Bool}")] 0.88 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int64}")] 0.87 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 0.89 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 0.98 (5%) 0.97 (1%) ✅
["inference", "abstract interpretation", "broadcasting"] 1.05 (5%) ❌ 1.06 (1%) ❌
["inference", "abstract interpretation", "many_local_vars"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "allinference", "REPL.REPLCompletions.completions"] 0.99 (5%) 0.98 (1%) ✅
["inference", "allinference", "many_local_vars"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "optimization", "rand(Float64)"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "optimization", "sin(42)"] 0.92 (5%) ✅ 1.00 (1%)
["io", "array_limit", ("display", "Matrix{Float64}(10000, 10000)")] 1.03 (5%) 1.02 (1%) ❌
["io", "array_limit", ("display", "Matrix{Float64}(100000000, 1)")] 1.01 (5%) 1.01 (1%) ❌
["io", "array_limit", ("display", "Vector{Float64}(100000000,)")] 1.01 (5%) 1.01 (1%) ❌
["io", "serialization", ("deserialize", "Matrix{Float64}")] 1.15 (5%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.92 (5%) ✅ 1.00 (1%)
["micro", "fib"] 1.15 (5%) ❌ 1.00 (1%)
["micro", "printfd"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "afoldl", "Int"] 1.06 (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", "Int")] 1.09 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.09 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.85 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.91 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 1.09 (5%) ❌ 1.00 (1%)
["random", "types", ("randn", "MersenneTwister", "Float32")] 1.28 (25%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float32")] 0.79 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("small", "negative argument", "Float64")] 0.66 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("zero", "Float64")] 0.66 (5%) ✅ 1.00 (1%)
["scalar", "intfuncs", ("#3", "Int64", "+")] 1.52 (25%) ❌ 1.00 (1%)
["scalar", "intfuncs", ("#4", "Int64", "+")] 1.32 (25%) ❌ 1.00 (1%)
["scalar", "intfuncs", ("#4", "UInt64", "+")] 1.46 (25%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 31)] 1.58 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4096)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "inner_aliased", "Float32", 4095)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "inner_aliased", "Float32", 4096)] 1.27 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 500x500, dense 500x5 -> dense 500x5")] 1.33 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_B", "sparse 50x500, dense 500x5 -> dense 50x5")] 1.44 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("A_mul_Bt", "sparse 50x500, dense 5x500 -> dense 50x5")] 1.41 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("Ac_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 1.33 (30%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 0.84 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.91 (5%) ✅ 1.00 (1%)
["string", "findfirst", "Char"] 1.06 (5%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Float64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Float32", 1)] 1.36 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Float64", 1)] 1.37 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "ComplexF64", 1)] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Bool", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int8}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, ComplexF64}", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Float64}", 1)] 0.92 (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 1.8.3-pre.37
Commit 8df0552ddb (2022-10-28 06:46 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  2628 MHz     195471 s        413 s      44787 s   68441165 s          0 s
       #2  2797 MHz    5157602 s        132 s     157130 s   63411531 s          0 s
       #3  3062 MHz     227906 s        196 s      36097 s   68459154 s          0 s
       #4  2896 MHz     163135 s        201 s      34959 s   68482156 s          0 s
       #5  2616 MHz     208594 s         79 s      35318 s   68125670 s          0 s
       #6  3013 MHz     173293 s        142 s      34728 s   68502791 s          0 s
       #7  2662 MHz     221637 s        241 s      35796 s   68469294 s          0 s
       #8  2732 MHz     197200 s        137 s      34893 s   68468624 s          0 s
  Memory: 31.320838928222656 GB (14890.953125 MB free)
  Uptime: 6.87828289e6 sec
  Load Avg:  1.02  1.01  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores

Comparison Build

Julia Version 1.8.3-pre.2
Commit 97ccb970c0 (2022-10-28 06:19 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  3084 MHz     195718 s        413 s      45025 s   68575114 s          0 s
       #2  2936 MHz    5285040 s        132 s     162460 s   63413606 s          0 s
       #3  2989 MHz     228650 s        196 s      36119 s   68593204 s          0 s
       #4  2844 MHz     163170 s        201 s      34965 s   68616836 s          0 s
       #5  3175 MHz     209232 s         79 s      35335 s   68259649 s          0 s
       #6  3058 MHz     173313 s        142 s      34733 s   68637607 s          0 s
       #7  2982 MHz     222146 s        241 s      35809 s   68603602 s          0 s
       #8  3152 MHz     197260 s        137 s      34901 s   68603376 s          0 s
  Memory: 31.320838928222656 GB (14100.703125 MB free)
  Uptime: 6.89176745e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores