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Benchmark Report

Job Properties

Commit: JuliaLang/julia@3c64bc3dbeb5161a27f7df33c2e3ee3df1c32e5a

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-08-07 vs 2023-08-02

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
["alloc", "structs"] 1.07 (5%) ❌ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 1.30 (5%) ❌ 1.00 (1%)
["array", "cat", ("hcat", 5)] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", ("hvcat_setind", 5)] 0.93 (5%) ✅ 1.00 (1%)
["array", "cat", ("vcat_setind", 5)] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 0.84 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 1.05 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 2)] 0.92 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 3)] 1.08 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 4)] 0.92 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 5)] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.11 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 3)] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 5)] 0.91 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 1.29 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 0.62 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "BitSet", "BitSet")] 1.38 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "Set", "Set")] 1.81 (25%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 1.17 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.82 (5%) ✅ 1.00 (1%)
["dates", "string", "Date"] 1.14 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float64}")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 1.08 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_const_calls"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_method_matches"] 0.87 (5%) ✅ 1.00 (1%)
["io", "read", "read"] 0.87 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.07 (5%) ❌ 1.00 (1%)
["micro", "fib"] 1.12 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.79 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.20 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 0.76 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("div", "Complex{UInt64}", "Complex{UInt64}")] 1.41 (25%) ❌ 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", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float64", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 2π/4", "positive argument", "Float32", "sin_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 2π/4", "positive argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float64", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float64", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float32", "sin_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 8π/4", "negative argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64", "cos_kernel")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64", "cos_kernel")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 1.11 (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", "rem_pio2", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64")] 1.06 (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")] 1.06 (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", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 0.86 (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 (easy) abs(x) < 9π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("very large", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("very large", "positive argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("zero", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.80 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "inner_aliased", "Float32", 4096)] 1.24 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 0.94 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different length"] 1.08 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.86 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1000"] 0.84 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 50000"] 0.89 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.07 (5%) ❌ 1.00 (1%)
["string", "replace"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8,)")] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16, 16)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(16,)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, false)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float64}", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, Int64}", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigFloat}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigInt}", 1)] 1.11 (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.211
Commit 3c64bc3dbe (2023-08-02 03:34 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   800 MHz      83830 s         26 s      39867 s   27954677 s          0 s
       #2   800 MHz    2345408 s         56 s      80857 s   25654157 s          0 s
       #3   800 MHz      80199 s         63 s      40293 s   27930081 s          0 s
       #4   800 MHz      68557 s         27 s      43588 s   27933715 s          0 s
       #5   800 MHz      64728 s         36 s      46766 s   27840435 s          0 s
       #6   800 MHz      69079 s         42 s      43480 s   27951925 s          0 s
       #7   800 MHz      74843 s         17 s      54976 s   27945155 s          0 s
       #8  3511 MHz      70818 s         23 s      38113 s   27964259 s          0 s
  Memory: 31.301593780517578 GB (24891.43359375 MB free)
  Uptime: 2.81072591e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores