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Benchmark Report

Job Properties

Commits: JuliaLang/julia@7305b58fe7b2176b9e3ea07f0f865d8b356fc84f vs JuliaLang/julia@bd47eca2c8aacd145b6c5c02e47e2b9ec27ab456

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
["alloc", "strings"] 0.91 (5%) ✅ 1.00 (1%)
["array", "any/all", ("any", "Vector{Float64}")] 0.77 (5%) ✅ 1.00 (1%)
["array", "cat", "4467"] 1.14 (5%) ❌ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.65 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 3)] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 1.13 (5%) ❌ 1.00 (1%)
["collection", "deletion", ("Set", "Int", "filter!")] 0.59 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "setdiff!", "Vector")] 0.73 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 1.31 (25%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 0.85 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 0.81 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float64}")] 0.85 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findprev", ("Vector{Bool}", "50-50")] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_method_matches"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "allinference", "many_method_matches"] 1.11 (5%) ❌ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.09 (5%) ❌ 1.00 (1%)
["inference", "optimization", "REPL.REPLCompletions.completions"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_method_matches"] 1.10 (5%) ❌ 1.00 (1%)
["inference", "optimization", "rand(Float64)"] 1.09 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["io", "serialization", ("serialize", "Vector{String}")] 1.05 (5%) ❌ 1.00 (1%)
["micro", "fib"] 1.12 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.14 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (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", "iterators", "zip(1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "array")] 1.33 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "function")] 0.93 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 1.06 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.92 (5%) ✅ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "large Vector")] 1.37 (25%) ❌ 1.00 (1%)
["random", "collections", ("rand", "MersenneTwister", "large Vector")] 1.31 (25%) ❌ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "Int128", "RangeGenerator(1:1)")] 0.59 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "Int128", "RangeGenerator(1:18446744073709551615)")] 0.63 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "Int128", "RangeGenerator(1:18446744073709551616)")] 0.63 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "Int128", "RangeGenerator(1:4294967295)")] 0.59 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt128", "RangeGenerator(1:1)")] 0.59 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt128", "RangeGenerator(1:170141183460469231731687303715884105728)")] 0.64 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt128", "RangeGenerator(1:18446744073709551615)")] 0.63 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt128", "RangeGenerator(1:18446744073709551616)")] 0.63 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt128", "RangeGenerator(1:4294967295)")] 0.59 (25%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("very large", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("add", "ComplexF32", "ComplexF64")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "ComplexF64", "ComplexF32")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "ComplexF64", "ComplexF64")] 0.33 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "ComplexF64", "Complex{UInt64}")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "Complex{Int64}", "Complex{Int64}")] 0.33 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "Complex{Int64}", "Complex{UInt64}")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "Complex{UInt64}", "ComplexF64")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "Complex{UInt64}", "Complex{Int64}")] 0.30 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("add", "Complex{UInt64}", "Complex{UInt64}")] 0.33 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "ComplexF64", "ComplexF64")] 0.59 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "ComplexF64", "Int64")] 0.40 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "ComplexF64", "UInt64")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{Int64}", "Int64")] 0.40 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{Int64}", "UInt64")] 0.36 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{UInt64}", "Complex{UInt64}")] 0.53 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{UInt64}", "Int64")] 0.38 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{UInt64}", "UInt64")] 0.39 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "ComplexF64", "ComplexF32")] 0.34 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "ComplexF64", "ComplexF64")] 0.32 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "ComplexF64", "Complex{UInt64}")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "ComplexF64", "Int64")] 0.32 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "ComplexF64", "UInt64")] 0.34 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "Int64", "ComplexF64")] 0.32 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("mul", "UInt64", "ComplexF64")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "ComplexF32", "ComplexF64")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "ComplexF64", "ComplexF32")] 0.32 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "ComplexF64", "ComplexF64")] 0.30 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "ComplexF64", "Complex{UInt64}")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{Int64}", "Complex{Int64}")] 0.32 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{Int64}", "Complex{UInt64}")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{UInt64}", "ComplexF64")] 0.35 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{UInt64}", "Complex{Int64}")] 0.30 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Complex{UInt64}", "Complex{UInt64}")] 0.33 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Int64", "Complex{Int64}")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "Int64", "Complex{UInt64}")] 0.33 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("sub", "UInt64", "Complex{UInt64}")] 0.30 (50%) ✅ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float32")] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x negative", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float64")] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x negative", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x negative", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x negative", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("very small", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float32", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "negative argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "positive argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", ("add", "ComplexF64")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("add", "Complex{Int64}")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("add", "Complex{UInt64}")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("div", "ComplexF64")] 0.35 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("div", "Complex{UInt64}")] 0.53 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("mul", "ComplexF64")] 0.32 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("sub", "ComplexF64")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("sub", "Complex{Int64}")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", ("sub", "Complex{UInt64}")] 0.30 (40%) ✅ 1.00 (1%)
["scalar", "floatexp", ("exp", "fast path, k = 1", "Float64")] 1.42 (40%) ❌ 1.00 (1%)
["scalar", "floatexp", ("exp", "no agument reduction, k = 9", "Float64")] 1.43 (40%) ❌ 1.00 (1%)
["scalar", "floatexp", ("exp", "normal path, k = 2", "Float64")] 1.43 (40%) ❌ 1.00 (1%)
["scalar", "floatexp", ("exp", "small argument path", "Float64")] 1.42 (40%) ❌ 1.00 (1%)
["scalar", "floatexp", ("exp", "underflow", "Float64")] 1.45 (40%) ❌ 1.00 (1%)
["scalar", "floatexp", ("exp10", "underflow", "Float64")] 1.41 (40%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2f-12", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "negative argument", "Float64")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "positive argument", "Float64")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("very large", "negative argument", "Float64")] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("very large", "positive argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "negative argument", "Float64")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "positive argument", "Float64")] 1.18 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 2, 64)] 0.56 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float32", 3, 64)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float64", 3, 31)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4096)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int64", 4095)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int64", 4096)] 1.29 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.90 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.85 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Bool", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int8}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, Bool}", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Int64}", 1)] 1.07 (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", "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 1.10.2
Commit 7305b58fe7 (2024-04-15 07:03 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-76-generic #83-Ubuntu SMP Thu Jun 15 19:16:32 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1   900 MHz     887729 s        302 s     187528 s  243895606 s          0 s
       #2  3509 MHz    9372712 s        516 s     308800 s  235180336 s          0 s
       #3   800 MHz     872950 s        358 s     227562 s  243874657 s          0 s
       #4   800 MHz     724529 s        261 s     169512 s  243873625 s          0 s
       #5   800 MHz     748783 s        262 s     213839 s  242920054 s          0 s
       #6   800 MHz     775581 s        195 s     197896 s  243884260 s          0 s
       #7   800 MHz     845372 s        302 s     190959 s  243847574 s          0 s
       #8   800 MHz     805726 s        274 s     231911 s  243924760 s          0 s
  Memory: 31.301593780517578 GB (19217.6328125 MB free)
  Uptime: 2.451691347e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.10.2
Commit bd47eca2c8 (2024-03-01 10:14 UTC)
Build Info:

    Note: This is an unofficial build, please report bugs to the project
    responsible for this build and not to the Julia project unless you can
    reproduce the issue using official builds available at https://julialang.org/downloads

Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-76-generic #83-Ubuntu SMP Thu Jun 15 19:16:32 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3526 MHz     888586 s        313 s     187719 s  243997917 s          0 s
       #2   800 MHz    9473723 s        516 s     309941 s  235181970 s          0 s
       #3  2500 MHz     873467 s        358 s     227582 s  243977881 s          0 s
       #4   800 MHz     724867 s        261 s     169522 s  243976968 s          0 s
       #5   800 MHz     748889 s        262 s     213848 s  243023554 s          0 s
       #6  3510 MHz     775916 s        195 s     197906 s  243987689 s          0 s
       #7   800 MHz     845438 s        302 s     190965 s  243951273 s          0 s
       #8  3900 MHz     805905 s        274 s     231922 s  244028344 s          0 s
  Memory: 31.301593780517578 GB (19101.78125 MB free)
  Uptime: 2.452729221e7 sec
  Load Avg:  1.09  1.03  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)