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Benchmark Report

Job Properties

Commit: JuliaLang/julia@dabb93a6022f695ea9b9686669a249de2e9b29a8

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-11-03 vs 2023-11-02

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", "4467"] 0.81 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("append!", 8)] 0.94 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 100)] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 1000)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 250)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 500)] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 1.73 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "tup_tup")] 3.16 (5%) ❌ 1.00 (1%)
["collection", "initialization", ("Vector", "Any", "iterator")] 1.66 (25%) ❌ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 1.46 (25%) ❌ 1.00 (1%)
["dates", "parse", "DateTime"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 1.10 (5%) ❌ 1.00 (1%)
["dates", "string", "DateTime"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Bool}")] 1.11 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int64}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 1.11 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "broadcasting"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_global_refs"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.19 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_const_calls"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "optimization", "sin(42)"] 1.06 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 1.09 (5%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.94 (5%) ✅ 1.00 (1%)
["micro", "fib"] 1.12 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Complex{Float64}"] 0.71 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Int"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.16 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.83 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.20 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.34 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.25 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "array")] 1.05 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "function")] 1.51 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 1.96 (5%) ❌ 1.00 (1%)
["misc", "splatting", (3, 3, 3)] 0.94 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "json", "parse_json"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("very large", "positive argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "negative argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "positive argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2^-28 <= abs(x) < 2", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2^-28 <= abs(x) < 2", "positive argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 0.89 (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", "atan2", ("x one", "Float32")] 1.50 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0.00024414062f0 <= abs(x) < 9f0", "negative argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("0.00024414062f0 <= abs(x) < 9f0", "positive argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("9f0 <= abs(x) < 88.72283f0", "negative argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("9f0 <= abs(x) < 88.72283f0", "positive argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("zero", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 0.83 (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", ("medium", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", "13786"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("no reduction", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float64")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 2π/4", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 2π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float64")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2f-12", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("1f0 <= abs(x) < 9f0", "negative argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1f0 <= abs(x) < 9f0", "positive argument", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 31)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 4, 31)] 1.31 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 3, 31)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 2, 63)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Float64", 4095)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Float64", 4096)] 1.24 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 1.10 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 1.06 (5%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different length"] 0.93 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.17 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 1"] 0.94 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.23 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4, 4)")] 1.29 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8,)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16, 16)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.31 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 0.67 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, false)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(true, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float32", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int8}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, BigFloat}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Float32", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, ComplexF64}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, Float64}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigFloat}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.68 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigFloat", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigFloat}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigFloat}", 0)] 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 1.11.0-DEV.819
Commit dabb93a602 (2023-11-02 14:06 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     417058 s        138 s     154258 s  103280674 s          0 s
       #2  3547 MHz    9070869 s        140 s     264283 s   94533816 s          0 s
       #3  3800 MHz     417636 s        113 s     135620 s  103215888 s          0 s
       #4   800 MHz     344136 s        161 s     147277 s  103251043 s          0 s
       #5   800 MHz     334767 s         82 s     152081 s  102933434 s          0 s
       #6  3900 MHz     355510 s        104 s     146542 s  103311519 s          0 s
       #7  2500 MHz     378676 s         54 s     167113 s  103298640 s          0 s
       #8  3700 MHz     361375 s         77 s     131174 s  103353958 s          0 s
  Memory: 31.301593780517578 GB (19166.51171875 MB free)
  Uptime: 1.039623509e7 sec
  Load Avg:  1.02  1.02  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores