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Benchmark Report

Job Properties

Commit: JuliaLang/julia@76351909e2daf7cb07cffe9fa76d3e8e4d38137f

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2024-11-01 vs 2024-10-31

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", "structs"] 0.92 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim1")] 1.09 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim2")] 1.10 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 0.82 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum", "Float64", "dim2")] 1.07 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.08 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.39 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.89 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 1000)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 0.92 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.13 (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")] 0.94 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "parse", "Date"] 0.94 (5%) ✅ 1.00 (1%)
["dates", "parse", ("Date", "ISODateFormat")] 0.95 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Lowercase")] 0.94 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.21 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float32}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 1.06 (5%) ❌ 1.01 (1%) ❌
["inference", "abstract interpretation", "many_global_refs"] 1.01 (5%) 0.99 (1%) ✅
["inference", "abstract interpretation", "many_invoke_calls"] 1.02 (5%) 0.99 (1%) ✅
["inference", "abstract interpretation", "many_local_vars"] 0.77 (5%) ✅ 0.98 (1%) ✅
["inference", "abstract interpretation", "many_opaque_closures"] 1.07 (5%) ❌ 1.01 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "allinference", "REPL.REPLCompletions.completions"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "allinference", "broadcasting"] 1.09 (5%) ❌ 1.00 (1%)
["inference", "allinference", "many_global_refs"] 1.06 (5%) ❌ 0.99 (1%)
["inference", "allinference", "many_local_vars"] 0.77 (5%) ✅ 0.99 (1%)
["inference", "allinference", "many_method_matches"] 1.07 (5%) ❌ 1.00 (1%)
["inference", "allinference", "many_opaque_closures"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "allinference", "println(::QuoteNode)"] 1.08 (5%) ❌ 1.00 (1%)
["inference", "allinference", "rand(Float64)"] 1.11 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Complex{Float64}"] 0.72 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.48 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.10 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "fem", "sparse_fem"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.93 (5%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int8", "1:1")] 1.26 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt128", "1:4294967297")] 1.27 (25%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float64")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very large", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "positive argument", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "negative argument", "Float64")] 0.75 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "positive argument", "Float64")] 0.75 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("19/16 <= abs(x) < 39/16", "negative argument", "Float64")] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("19/16 <= abs(x) < 39/16", "positive argument", "Float64")] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("39/16 <= abs(x) < 2^66", "negative argument", "Float64")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("39/16 <= abs(x) < 2^66", "positive argument", "Float64")] 0.70 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("7/16 <= abs(x) < 11/16", "negative argument", "Float64")] 0.76 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("7/16 <= abs(x) < 11/16", "positive argument", "Float64")] 0.75 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x positive", "Float64")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float32")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float64")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x negative", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x negative", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x negative", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x negative", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("one", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("one", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float32")] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 2.7755602085408512e-17", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("zero", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "13786"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "negative argument", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "positive argument", "Float64")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "zero", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("no reduction", "zero", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("no reduction", "zero", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2.0^-28", "negative argument", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2.0^-28", "positive argument", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("zero", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2f0^-12", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("2f0^-12 <= abs(x) < 1f0", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["shootout", "meteor_contest"] 0.90 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 31)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int64", 3, 64)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 3, 63)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 4, 31)] 1.39 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4096)] 0.71 (20%) ✅ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.01 (20%) 0.99 (1%) ✅
["sort", "length = 10", "sort(randn(length))"] 1.25 (20%) ❌ 1.00 (1%)
["sort", "length = 100", "mixed eltype with by order"] 1.22 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "transpose", ("transpose", "(600, 600)")] 0.68 (30%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.08 (5%) ❌ 1.00 (1%)
["string", "join"] 0.46 (40%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 0.84 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigFloat", "(false, false)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigFloat", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigFloat", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigFloat", "(false, false)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigFloat", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigFloat", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, false)")] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(false, false)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, BigInt}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, Int64}", 0)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 1.05 (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 1.12.0-DEV.1531
Commit 76351909e2 (2024-11-01 10:15 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     616955 s        189 s     160210 s  124525133 s          0 s
       #2  3500 MHz    8368442 s        102 s     196303 s  116800841 s          0 s
       #3  3500 MHz     474284 s        127 s      74053 s  124805939 s          0 s
       #4  3501 MHz     460621 s        105 s      89432 s  124747840 s          0 s
       #5  3503 MHz     393812 s         76 s      65415 s  124788667 s          0 s
       #6  3501 MHz     425225 s         64 s      85414 s  124176982 s          0 s
       #7  3501 MHz     457886 s        116 s      70858 s  124710992 s          0 s
       #8  3502 MHz     400856 s         78 s      58515 s  124849478 s          0 s
  Memory: 31.30148696899414 GB (19318.0234375 MB free)
  Uptime: 1.254172775e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)