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Benchmark Report

Job Properties

Commits: gbaraldi/julia@539326ee8e8d8e0966ad2118d703443b8bd5cd11 vs JuliaLang/julia@4fa07cd0d07c0e2882a505c08a992f146d885ad4

Comparison Diff: link

Triggered By: link

Tag Predicate: !"scalar"

Results

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

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

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

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

ID time ratio memory ratio
["alloc", "strings"] 0.94 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("accumulate", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("accumulate", "Int")] 0.91 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Float64", "dim2")] 1.07 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum", "Int")] 0.91 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.83 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.23 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("collect", "Vector{Float64}")] 2.15 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.23 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "Vector{Float64}")] 1.18 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.07 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 1.08 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.84 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Float32}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Float64}")] 1.13 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] 0.88 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float32}")] 1.05 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 1.11 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", ("append!", 2048)] 0.88 (5%) ✅ 1.00 (1%)
["array", "growth", ("append!", 256)] 0.50 (5%) ✅ 1.00 (1%)
["array", "growth", ("prerend!", 2048)] 0.79 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 0.93 (5%) ✅ 1.00 (1%)
["array", "index", "2d"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", ("mean", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 0.89 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 0.90 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sum", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sum", "Int64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 1.21 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup_x3")] 1.42 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 1.24 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 1)] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 0.94 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Set", "concrete", "Nothing")] 0.73 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 2.43 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("Set", "Int", "first")] 1.30 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 3.49 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 1.62 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Vector")] 1.94 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "intersect")] 0.59 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "BitSet")] 1.44 (25%) ❌ 1.00 (1%)
["dates", "parse", "DateTime"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.77 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.79 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int64}")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.77 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt64}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 0.78 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 0.88 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.87 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.82 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float64}")] 0.85 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int8}")] 0.83 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 0.82 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.82 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float64}")] 0.85 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 0.84 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt8}")] 0.83 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.76 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 0.81 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 0.85 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.83 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 0.80 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 0.81 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.79 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.78 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 0.83 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 0.84 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Bool}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 0.87 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_invoke_calls"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 1.04 (5%) 1.01 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 1.09 (5%) ❌ 1.00 (1%)
["inference", "allinference", "many_const_calls"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "allinference", "sin(42)"] 1.07 (5%) ❌ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 0.91 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_const_calls"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_local_vars"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "sin(42)"] 1.07 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.84 (5%) ✅ 1.00 (1%)
["io", "serialization", ("serialize", "Matrix{Float64}")] 0.88 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("*", "typename(Bidiagonal)", "Vector", 256)] 0.51 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("*", "typename(Diagonal)", "Vector", 256)] 0.43 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("*", "typename(Diagonal)", "typename(Diagonal)", 256)] 0.31 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(Bidiagonal)", "typename(Bidiagonal)", 256)] 0.42 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(Diagonal)", "typename(Diagonal)", 256)] 0.31 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(SymTridiagonal)", "typename(SymTridiagonal)", 256)] 0.39 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(Tridiagonal)", "typename(Tridiagonal)", 256)] 0.49 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(Bidiagonal)", "typename(Bidiagonal)", 256)] 0.38 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(Diagonal)", "typename(Diagonal)", 256)] 0.30 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(SymTridiagonal)", "typename(SymTridiagonal)", 256)] 0.41 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(Tridiagonal)", "typename(Tridiagonal)", 256)] 0.53 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("sqrt", "NPDUpperTriangular", 1024)] 0.54 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("sqrt", "typename(UnitUpperTriangular)", 1024)] 0.41 (45%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.09 (5%) ❌ 1.00 (1%)
["micro", "randmatstat"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "18129"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.65 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.65 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.92 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 0.28 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 0.80 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 0.78 (5%) ✅ 1.00 (1%)
["misc", "perf highdim generator"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 0.92 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 24, 1)] 0.90 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.82 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_devec"] 1.28 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "seismic", ("seismic", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["problem", "seismic", ("seismic", "Float64")] 1.13 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:1")] 0.58 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:170141183460469231731687303715884105728")] 0.60 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:18446744073709551615")] 0.57 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:18446744073709551616")] 0.60 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:4294967295")] 0.58 (25%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "BigInt", "1:4294967297")] 0.58 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:1)")] 0.58 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:170141183460469231731687303715884105728)")] 0.74 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:18446744073709551615)")] 0.74 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:18446744073709551616)")] 0.66 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:2^10000)")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:4294967295)")] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "MersenneTwister", "BigInt", "RangeGenerator(1:4294967297)")] 0.71 (25%) ✅ 1.00 (1%)
["shootout", "pidigits"] 0.83 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 0.67 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 1000)] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 100)] 0.70 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "index", ("spvec", "range", 100000)] 0.67 (30%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.87 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.85 (5%) ✅ 1.00 (1%)
["sparse", "transpose", ("transpose!", "(20000, 20000)")] 0.67 (30%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 0.95 (5%) ✅ 1.00 (1%)
["string", "join"] 0.57 (40%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1"] 0.80 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, false)")] 0.61 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(false, true)")] 0.63 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "BigInt", "(true, true)")] 0.65 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, false)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, false)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 0)] 0.64 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 1)] 0.67 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "ComplexF64", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int64", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, false)")] 0.63 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(false, true)")] 0.62 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "BigInt", "(true, true)")] 0.64 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 0)] 0.65 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 1)] 0.66 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "ComplexF64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, false)")] 0.62 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(false, true)")] 0.63 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigInt", "(true, true)")] 0.65 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, false)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(true, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigInt", 0)] 0.65 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigInt", 1)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 0)] 0.66 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 1)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 0)] 0.66 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 1)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 0)] 0.62 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 1)] 0.65 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigInt}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Bool}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, BigInt}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigInt", 0)] 0.66 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigInt}", 1)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigInt}", 0)] 0.67 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigInt", 0)] 0.64 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigInt}", 1)] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigFloat}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigInt}", 0)] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Bool", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, BigInt}", 0)] 0.95 (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"]
  • ["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.62
Commit 539326ee8e (2022-11-22 02:41 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3503 MHz     280783 s        492 s      58889 s   89735956 s          0 s
       #2  3680 MHz    7123730 s        212 s     204165 s   82804889 s          0 s
       #3  3506 MHz     324758 s        272 s      47316 s   89756551 s          0 s
       #4  3504 MHz     238057 s        333 s      45704 s   89761235 s          0 s
  Memory: 31.320838928222656 GB (22166.6640625 MB free)
  Uptime: 9.02066551e6 sec
  Load Avg:  1.07  1.02  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.10.0-DEV.38
Commit 4fa07cd0d0 (2022-11-22 01:25 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  2915 MHz     281058 s        492 s      59046 s   89843093 s          0 s
       #2  3444 MHz    7227918 s        212 s     206570 s   82806066 s          0 s
       #3  3433 MHz     325763 s        272 s      47335 s   89863281 s          0 s
       #4  3450 MHz     238138 s        333 s      45715 s   89868672 s          0 s
  Memory: 31.320838928222656 GB (22290.90234375 MB free)
  Uptime: 9.03144288e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores