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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@7b873def6ae9521b40f07cc029069fc2a8f17dc3 vs JuliaLang/julia@7132c635ab8da723c0177a9d6617bf01f4e7460a

Triggered By: link

Tag Predicate: ALL

Results

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

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

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

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

ID time ratio memory ratio
["array", "accumulate", "(\"cumsum!\", \"Int\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1}\")"] 1.58 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"UnitRange{Int64} generator\")"] 1.49 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.07 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1} == UnitRange{Int64}\")"] 0.89 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.88 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"append!\", 2048)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "index", "(\"mapr_access\", \"Array{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"Array{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32,2}\")"] 0.01 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32,2}\")"] 0.00 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BitArray{2}\")"] 0.01 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"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}\")"] 0.05 (50%) ✅ 0.08 (1%) ✅
["array", "index", "(\"mapr_access\", \"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}\")"] 0.10 (50%) ✅ 0.09 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"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}\")"] 0.05 (50%) ✅ 0.09 (1%) ✅
["array", "index", "(\"mapr_access\", \"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}\")"] 0.10 (50%) ✅ 0.10 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 0.92 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 1)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 4)"] 1.22 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 0.90 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"tup_tup\")"] 0.95 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"ISODateTimeFormat\")"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.07 (5%) ❌ 1.00 (1%)
["dates", "parse", "Date"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 1.17 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["io", "skipchars"] 1.16 (5%) ❌ 1.00 (1%)
["misc", "18129"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.02 (5%) ✅ 0.01 (1%) ✅
["misc", "23042", "Float64"] 0.86 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 0.81 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt\", \"UInt\")"] 1.36 (5%) ❌ 1.00 (1%)
["misc", "parse", "DateTime"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "parse", "Float64"] 0.94 (5%) ✅ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 1024)"] 1.05 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 2)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 4096)"] 1.05 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 512)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 64)"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "go", "go_game"] 0.94 (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"] 0.89 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.88 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.88 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Dict\")"] 0.69 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small BitSet\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551615)\")"] 1.32 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{Int16}\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.30 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"positive argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "acosh", "(\"very large\", \"positive argument\", \"Float32\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x positive\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 0.79 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"small\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 1000)"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 0.93 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.11 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (8, 8), (8, 8))"] 1.15 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 1.15 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigFloat, (false, true))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigFloat, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (true, true))"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigFloat\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, false)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, false)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigFloat, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigFloat, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigFloat, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, BigFloat}, false)"] 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"]
  • ["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", "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", "issue 12165"]
  • ["misc", "iterators"]
  • ["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", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.1.1-pre.35
Commit 7b873de (2019-04-15 14:52 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   46864182 s       2433 s   10358501 s  3257743876 s         12 s
       #2  3501 MHz  272234300 s         14 s    4900788 s  3045719326 s         19 s
       #3  3501 MHz   37879072 s       3165 s    4573061 s  3280265925 s         28 s
       #4  3501 MHz   36520422 s         15 s    3441116 s  3284179591 s         25 s
       
  Memory: 31.383651733398438 GB (5267.17578125 MB free)
  Uptime: 3.3253595e7 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 1.1.1-pre.2
Commit 7132c63 (2019-04-12 11:45 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   46988675 s       2433 s   10369236 s  3258870791 s         12 s
       #2  3501 MHz  273412562 s         14 s    4916694 s  3045791198 s         19 s
       #3  3501 MHz   37987641 s       3165 s    4580154 s  3281416219 s         28 s
       #4  3501 MHz   36643889 s         15 s    3448108 s  3285315343 s         25 s
       
  Memory: 31.383651733398438 GB (3922.609375 MB free)
  Uptime: 3.3266263e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)