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Benchmark Report

Job Properties

Commits: JuliaLang/julia@1fa2cdd9e5f2a7236259c26944abb875a89dbcd1 vs JuliaLang/julia@5b6a94da5af35a4aa91759cac2f8db7669a6ec2a

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
["array", "bool", "bitarray_true_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("hvcat", 5)] 1.14 (5%) ❌ 1.00 (1%)
["array", "cat", ("vcat_setind", 5)] 0.95 (5%) ✅ 1.00 (1%)
["array", "convert", ("Complex{Float64}", "Int")] 0.71 (5%) ✅ 1.00 (1%)
["array", "convert", ("Float64", "Int")] 0.65 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.93 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Bool}")] 1.39 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Float64}")] 1.08 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "BitArray")] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Bool}")] 1.39 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Float32}")] 1.17 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Float64}")] 1.17 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float32}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.93 (5%) ✅ 1.00 (1%)
["array", "index", ("sumcartesian", "BitMatrix")] 1.76 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32, 2}")] 0.96 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 0.98 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 2}")] 0.98 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 0.98 (50%) 0.98 (1%) ✅
["array", "index", ("sumeach_view", "Array{Float64, 3}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "BitMatrix")] 0.04 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "Matrix{Float32}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "Matrix{Float64}")] 0.23 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "Matrix{Int32}")] 0.25 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "Matrix{Int64}")] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "BitMatrix")] 0.14 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "SubArray{Int32, 2, Base.ReshapedArray{Int32, 2, SubArray{Int32, 3, Array{Int32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.59 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "SubArray{Int32, 2, Matrix{Int32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.25 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.67 (50%) ❌ 1.00 (1%)
["array", "index", ("sumlinear_view", "Array{Float64, 3}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "BitMatrix")] 0.04 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "Matrix{Float32}")] 0.12 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "Matrix{Float64}")] 0.23 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "Matrix{Int32}")] 0.24 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "Matrix{Int64}")] 0.48 (50%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 100)] 0.94 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 1000)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 250)] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 500)] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "26942"] 0.61 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.84 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", ("(10000000,)", 2)] 1.11 (5%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff", "BitSet")] 1.28 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "<", "Set")] 1.30 (25%) ❌ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 1.22 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 1.28 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 0.75 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "50-50")] 0.77 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "90-10")] 0.74 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 1.13 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_local_vars"] 0.94 (5%) ✅ 1.00 (1%)
["io", "read", "read"] 1.10 (5%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("3-arg mul!", 2)] 0.45 (45%) ✅ 1.00 (1%)
["micro", "fib"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.70 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.70 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.20 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "issue 12165", "Float16"] 1.13 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float32"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.92 (5%) ✅ 1.00 (1%)
["shootout", "fannkuch"] 1.08 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 4, 32)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 4, 31)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 4, 63)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 4, 32)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 4, 63)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 4, 64)] 0.74 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 2, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 4, 31)] 0.65 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 4, 32)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Float32", 4, 32)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 31)] 0.42 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 32)] 1.48 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 63)] 0.62 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 64)] 1.71 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 31)] 0.62 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 32)] 2.53 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 63)] 0.68 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 64)] 1.70 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 31)] 0.56 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 32)] 2.47 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 63)] 0.64 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 64)] 1.66 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 2, 32)] 1.74 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 2, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 2, 64)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 3, 32)] 1.68 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 3, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 3, 64)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 4, 32)] 1.73 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 4, 63)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 4, 64)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 4, 31)] 0.74 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 4, 32)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float32", 4, 64)] 0.67 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 4, 32)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 4, 63)] 0.74 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int64", 4, 31)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float32", 4, 64)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float64", 4, 32)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 4, 32)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float32", 3, 63)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int32", 3, 31)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int32", 3, 63)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.43 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 63)] 0.57 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 64)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 31)] 0.57 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 32)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 63)] 0.59 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 3, 64)] 1.39 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 31)] 0.51 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 4, 63)] 0.58 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 2, 32)] 1.50 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 3, 32)] 1.36 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float32", 3, 31)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float32", 3, 63)] 0.61 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float32", 4, 31)] 0.72 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float32", 4, 63)] 0.61 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 3, 31)] 0.66 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 3, 63)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 4, 31)] 0.66 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 4, 63)] 0.79 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 3, 31)] 0.80 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 63)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 4, 31)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 31)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 32)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 63)] 1.86 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 2, 64)] 1.83 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 31)] 1.48 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 32)] 1.51 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 63)] 1.97 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 3, 64)] 1.91 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 31)] 1.46 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 32)] 1.53 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 63)] 1.90 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Int32", 4, 64)] 2.07 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_conditional_loop!", "Int32", 4095)] 0.67 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "auto_conditional_loop!", "Int32", 4096)] 0.66 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "auto_conditional_loop!", "Int64", 4095)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_conditional_loop!", "Int64", 4096)] 1.49 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4095)] 0.62 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int32", 4096)] 0.68 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int64", 4095)] 1.40 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!", "Int64", 4096)] 1.45 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!_aliased", "Int32", 4095)] 0.63 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!_aliased", "Int32", 4096)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("Linear", "conditional_loop!_aliased", "Int64", 4095)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "conditional_loop!_aliased", "Int64", 4096)] 1.49 (20%) ❌ 1.00 (1%)
["sort", "insertionsort", "sort forwards"] 1.27 (20%) ❌ 1.00 (1%)
["sort", "issorted", ("forwards", "descending")] 0.77 (20%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.94 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different length"] 0.83 (5%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "equal"] 0.83 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.17 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 0.88 (5%) ✅ 1.00 (1%)
["string", "replace"] 1.26 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 1.72 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 1.20 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(16,)")] 1.26 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.31 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 0)] 0.48 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 1)] 0.66 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Int64", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, false)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, false)")] 0.62 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, false)")] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, true)")] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(true, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, false)")] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 1.28 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(true, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, false)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, true)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(true, true)")] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, false)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Bool")] 2.17 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 1.44 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Int8")] 2.17 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float64", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 0)] 0.17 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 0.12 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 0.73 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 0)] 0.21 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 1)] 0.12 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 0.03 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 1)] 0.02 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Bool}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Float64}", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Int8}", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Bool", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigFloat}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 1.36 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int8}", 1)] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, Int8}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigFloat}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 1.68 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigFloat}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Bool}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Float64}", 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"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "issues"]
  • ["sort", "length = 10"]
  • ["sort", "length = 100"]
  • ["sort", "length = 1000"]
  • ["sort", "length = 10000"]
  • ["sort", "length = 3"]
  • ["sort", "length = 30"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.11.0-DEV.1262
Commit 1fa2cdd9e5 (2024-01-12 17:43 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     703611 s        148 s     154721 s  163348451 s          0 s
       #2  3556 MHz    6663453 s        376 s     242127 s  157197456 s          0 s
       #3   800 MHz     690103 s        193 s     200230 s  163315556 s          0 s
       #4   800 MHz     571012 s        126 s     144295 s  163340913 s          0 s
       #5   800 MHz     592982 s        160 s     189715 s  162770600 s          0 s
       #6   800 MHz     609902 s        112 s     173623 s  163364320 s          0 s
       #7   800 MHz     664070 s        164 s     165001 s  163323936 s          0 s
       #8  3700 MHz     637268 s        151 s     206246 s  163355099 s          0 s
  Memory: 31.301593780517578 GB (21252.62890625 MB free)
  Uptime: 1.64350473e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.11.0-DEV.1258
Commit 5b6a94da5a (2024-01-12 14:20 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     704238 s        148 s     154886 s  163452229 s          0 s
       #2  3500 MHz    6765403 s        376 s     243976 s  157198406 s          0 s
       #3  3500 MHz     690366 s        193 s     200245 s  163420010 s          0 s
       #4   800 MHz     571146 s        126 s     144303 s  163445426 s          0 s
       #5  1600 MHz     593058 s        160 s     189720 s  162875176 s          0 s
       #6   800 MHz     610000 s        112 s     173631 s  163468956 s          0 s
       #7  2500 MHz     664575 s        164 s     165015 s  163428154 s          0 s
       #8   800 MHz     637358 s        151 s     206250 s  163459748 s          0 s
  Memory: 31.301593780517578 GB (21243.08984375 MB free)
  Uptime: 1.64455222e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)