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Benchmark Report

Job Properties

Commit: JuliaLang/julia@53bcb3987e64e72b6550b75c0d0c315cf15ad476

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-06-06 vs 2023-06-05

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["array", "accumulate", ("cumsum!", "Float64", "dim1")] 1.14 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim2")] 1.16 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.15 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64}")] 0.89 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] 0.87 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 1.13 (5%) ❌ 1.00 (1%)
["array", "growth", ("append!", 256)] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sum", "Int64")] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.09 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 1)] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 3)] 1.06 (5%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 1.26 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Vector")] 1.31 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "Set")] 1.36 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "Vector")] 1.34 (25%) ❌ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.13 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 1.18 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 1.14 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Year")] 1.05 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 1.16 (5%) ❌ 1.00 (1%)
["dates", "conversion", "DateTime -> Date"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 1.07 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Titlecase")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findnext", ("BitVector", "90-10")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Int8}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "90-10")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float32}")] 1.10 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_local_vars"] 1.06 (5%) ❌ 1.00 (1%)
["io", "read", "read"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "afoldl", "Int"] 1.32 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.17 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 1.10 (5%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int16", "1:1")] 1.32 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int32", "1:1")] 1.41 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int8", "1:1")] 1.41 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt16", "1:1")] 1.32 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt32", "1:1")] 1.37 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt32", "1:4294967295")] 1.36 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt8", "1:1")] 1.40 (25%) ❌ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "Int16", "RangeGenerator(1:1)")] 1.28 (25%) ❌ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "UInt32", "RangeGenerator(1:1)")] 1.28 (25%) ❌ 1.00 (1%)
["random", "types", ("randexp", "ImplicitRNG", "Float64")] 1.27 (25%) ❌ 1.00 (1%)
["random", "types", ("randexp", "ImplicitRNG", "ImplicitFloat64")] 1.27 (25%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 0.86 (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", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "negative argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("zero", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("0 <= abs(x) < 2^-28", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 1.17 (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")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "negative argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("0.5 <= abs(x) < 1", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "positive argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow3", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow3", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction I", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction II", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative 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", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("very large", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("very large", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "negative argument", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.85 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.94 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 1.12 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.28 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 1.18 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "equal"] 1.08 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4, 4)")] 1.24 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, false)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigFloat}", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Int64", 0)] 1.06 (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 1.10.0-DEV.1441
Commit 53bcb3987e (2023-06-06 13:25 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.2 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz     588764 s      50106 s     506981 s  105860675 s          0 s
       #2  3502 MHz   10668673 s      31130 s     560632 s   95965135 s          0 s
       #3  3900 MHz     578297 s      30748 s     396054 s  106162839 s          0 s
       #4  3900 MHz     410955 s      27666 s     362632 s  106105895 s          0 s
  Memory: 31.313323974609375 GB (13627.046875 MB free)
  Uptime: 1.074980486e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores