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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@673144bfae30519e4bb2d1ef274645c5213bce18 vs JuliaLang/julia@97864d39ea3bbdbad2bf501107e2590837331156

Triggered By: link

Tag Predicate: ALL

Results

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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\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"BitArray\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hvcat_setind\", 500)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.88 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.91 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"BitArray\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal UnitRange{Int64}\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Float32,2,Base.ReshapedArray{Float32,2,SubArray{Float32,3,Array{Float32,3},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}\")"] 0.43 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Float32,2,Base.ReshapedArray{Float32,2,SubArray{Float32,3,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false},Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},false}\")"] 0.33 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"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}\")"] 0.43 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Int32,2,Base.ReshapedArray{Int32,2,SubArray{Int32,3,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false},Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},false}\")"] 0.33 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32,2}\")"] 0.27 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32,2}\")"] 0.29 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32,2}\")"] 0.29 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32,2}\")"] 0.26 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2}\")"] 0.27 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumvector_view\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2}\")"] 0.29 (50%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 0.92 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000000,), 1)"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"tup_tup\")"] 1.10 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff!\", \"big\")"] 0.72 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union!\", \"big\")"] 0.70 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", "(\"DateTime\", \"Hour\")"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 1.13 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.21 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "18129"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt\", \"UInt\")"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "go", "go_game"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.88 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.88 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.86 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 0.89 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.88 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 0.72 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"one\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x negative\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x negative\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y infinite\", \"y positive\", \"x infinite\", \"x negative\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "floatexp", "(\"exp10\", \"agument reduction, k = 2\", \"Float32\")"] 0.57 (40%) ✅ 1.00 (1%)
["scalar", "floatexp", "(\"exp10\", \"agument reduction, k = 83\", \"Float32\")"] 0.47 (40%) ✅ 1.00 (1%)
["scalar", "floatexp", "(\"exp10\", \"no agument reduction, k = 1\", \"Float32\")"] 0.41 (40%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (hard) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 6π/4\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"large\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", "(\"0 <= abs(x) < 2f0^-12\", \"negative argument\", \"Float32\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"0 <= abs(x) < 2f0^-12\", \"positive argument\", \"Float32\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"1f0 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"1f0 <= abs(x) < 9f0\", \"positive argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"2f0^-12 <= abs(x) < 1f0\", \"negative argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"2f0^-12 <= abs(x) < 1f0\", \"positive argument\", \"Float32\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 1.08 (5%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 1.36 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.16 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (4, 4), (4, 4))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (16, 16), (16,))"] 1.15 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (4, 4), (4,))"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, BigFloat, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (true, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigFloat, (false, false))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigInt\")"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.28 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigInt, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float32, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", BigInt, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", BigInt, true)"] 0.93 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["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", "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"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "bitshift"]
  • ["misc", "issue 12165"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["parallel", "remotecall"]
  • ["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", "transpose"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.1.0-DEV.228
Commit 673144b (2018-09-10 06:29 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 LTS
  uname: Linux 3.13.0-85-generic #129-Ubuntu SMP Thu Mar 17 20:50:15 UTC 2016 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3501 MHz   31192023 s       2407 s    4465600 s  1400561425 s          8 s
       #2  3501 MHz  143648750 s          4 s    2656554 s  1292795562 s         13 s
       #3  3501 MHz   22538981 s       3129 s    2793952 s  1413731709 s         20 s
       #4  3501 MHz   21579295 s         11 s    2187238 s  1415940370 s         13 s
       
  Memory: 31.383651733398438 GB (3055.97265625 MB free)
  Uptime: 1.4404485e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.1.0-DEV.222
Commit 97864d3 (2018-09-09 19:05 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 LTS
  uname: Linux 3.13.0-85-generic #129-Ubuntu SMP Thu Mar 17 20:50:15 UTC 2016 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3501 MHz   31323077 s       2407 s    4476836 s  1401672152 s          8 s
       #2  3501 MHz  144804143 s          4 s    2672939 s  1292880899 s         13 s
       #3  3501 MHz   22664652 s       3129 s    2801701 s  1414854339 s         20 s
       #4  3501 MHz   21685326 s         11 s    2194515 s  1417084177 s         13 s
       
  Memory: 31.383651733398438 GB (4549.15625 MB free)
  Uptime: 1.4417063e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)