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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@d10df6c42dd8c0a75467c329e1a5eb068a9d9b13 vs JuliaLang/julia@d28a7d590e26272daa4add2e9f0a5d4051696068

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\", \"Float64\", \"dim1\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"catnd\", 5)"] 1.22 (5%) ❌ 1.01 (1%) ❌
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 1.17 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.13 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.14 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal UnitRange{Int64}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 4)"] 1.17 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 1.11 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 0.92 (5%) ✅ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"Any\", \"iterate\")"] 1.35 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"String\", \"iterate\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"false\")"] 1.27 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"getindex\")"] 1.41 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"setindex!\", \"overwrite\")"] 1.35 (25%) ❌ 1.00 (1%)
["dates", "arithmetic", "(\"DateTime\", \"Year\")"] 1.05 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Lowercase\")"] 1.12 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.12 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Titlecase\")"] 1.13 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"Date\", \"ISODateFormat\")"] 1.10 (5%) ❌ 1.00 (1%)
["dates", "string", "DateTime"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"90-10\")"] 1.13 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 0.87 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt64,1}\")"] 0.83 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int64,1}\")"] 0.91 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int8,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["micro", "fib"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "18129"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "20517"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 1, 24)"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "go", "go_game"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "imdb", "centrality"] 1.11 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 1.14 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 1.08 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_devec"] 0.80 (5%) ✅ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 1.08 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.10 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 0.70 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:18446744073709551616\")"] 1.50 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:1\")"] 1.39 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:4294967295\")"] 1.40 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float64\")"] 0.68 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 0.73 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y negative\", \"x negative\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y negative\", \"x positive\", \"Float64\")"] 0.65 (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 positive\", \"Float64\")"] 0.65 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x negative\", \"Float64\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x positive\", \"Float64\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x positive\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.43 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.79 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y infinite\", \"y positive\", \"x infinite\", \"x positive\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", "(\"one\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"negative argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"positive argument\", \"Float32\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\")"] 1.06 (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 (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"no reduction\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 8π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"large\", \"negative argument\", \"Float64\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"large\", \"positive argument\", \"Float64\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float64\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 1.05 (5%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (16, 16), (16,))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.20 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.82 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, false))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, true))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (true, true))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Bool, (false, false))"] 1.00 (5%) 0.96 (1%) ✅
["union", "array", "(\"broadcast\", abs, BigInt, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Bool, false)"] 1.00 (5%) 0.97 (1%) ✅
["union", "array", "(\"broadcast\", identity, BigInt, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, false)"] 1.00 (5%) 0.97 (1%) ✅
["union", "array", "(\"map\", *, BigInt, (false, false))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (false, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (true, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (true, true))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, false)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (false, false))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (false, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (true, true))"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, false)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigInt, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigInt, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigFloat, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigInt, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigInt, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float32, true)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float64, true)"] 1.12 (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.299
Commit d10df6c (2018-09-19 15:02 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   50145045 s       4998 s    5488983 s  1461898773 s         20 s
       #2  3501 MHz  241459219 s        203 s    3771525 s  1274962625 s         10 s
       #3  3501 MHz   34550843 s       3200 s    3046289 s  1482595924 s         22 s
       #4  3501 MHz   32070096 s          0 s    3750074 s  1484158314 s         10 s
       
  Memory: 31.383651733398438 GB (4979.703125 MB free)
  Uptime: 1.5215259e7 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.297
Commit d28a7d5 (2018-09-19 15:00 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   50264975 s       4998 s    5499628 s  1462988802 s         20 s
       #2  3501 MHz  242597221 s        203 s    3787771 s  1275033473 s         10 s
       #3  3501 MHz   34667600 s       3200 s    3053489 s  1483696792 s         22 s
       #4  3501 MHz   32187327 s          0 s    3757091 s  1485259066 s         10 s
       
  Memory: 31.383651733398438 GB (4541.1328125 MB free)
  Uptime: 1.5227515e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)