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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@bb8fefbd1470eba605a05be3ad731ff451d16c50

Triggered By: link

Tag Predicate: ALL

Daily Job: 2019-07-20 vs 2019-07-19

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", "(\"accumulate!\", \"Int\")"] 0.85 (5%) ✅ 1.00 (1%)
["array", "accumulate", "(\"accumulate\", \"Int\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hcat\", 500)"] 1.09 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hvcat\", 5)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"append!\", 256)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"perf_mapreduce\", \"Int64\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 0.89 (5%) ✅ 1.00 (1%)
["collection", "iteration", "(\"BitSet\", \"Int\", \"iterate\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Set\", \"Int\", \"iterate\")"] 1.42 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"false\")"] 1.27 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"String\", \"getindex\")"] 1.28 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"String\", \"in\", \"true\")"] 1.28 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"in\", \"false\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union\", \"BitSet\")"] 1.53 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"⊆\", \"Set\")"] 1.39 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"⊆\", \"Vector\")"] 1.35 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 0.86 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"Date\", \"ISODateFormat\")"] 0.90 (5%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 0.21 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int64,1}\")"] 1.11 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 1.00 (5%) 0.99 (1%) ✅
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.02 (5%) 0.99 (1%) ✅
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 1.10 (5%) ❌ 1.00 (1%)
["io", "serialization", "(\"serialize\", \"Vector{String}\")"] 0.88 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"+\", \"Matrix\", \"Matrix\", 256)"] 2.36 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 0.93 (5%) ✅ 1.00 (1%)
["micro", "fib"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "parse", "DateTime"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "chaosgame", "chaosgame"] 1.11 (5%) ❌ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "imdb", "centrality"] 1.13 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_devec"] 1.50 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.07 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"'a':'z'\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Dict\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Set\")"] 1.56 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Vector\")"] 1.30 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 1.48 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Vector\")"] 1.35 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Bool\", \"true:true\")"] 1.69 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:18446744073709551615\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:18446744073709551616\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:1\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967295\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967297\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int16\", \"1:1\")"] 1.69 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int32\", \"1:1\")"] 1.62 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int64\", \"1:1\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int64\", \"1:4294967295\")"] 1.62 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int64\", \"1:4294967297\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int8\", \"1:1\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:170141183460469231731687303715884105728\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:18446744073709551615\")"] 1.92 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:18446744073709551616\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:1\")"] 1.92 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:4294967295\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:4294967297\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt16\", \"1:1\")"] 1.85 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt32\", \"1:1\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt32\", \"1:4294967295\")"] 1.69 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt64\", \"1:18446744073709551615\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt64\", \"1:1\")"] 1.62 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt64\", \"1:4294967295\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt64\", \"1:4294967297\")"] 1.62 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt8\", \"1:1\")"] 1.77 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "types", "(\"rand\", \"ImplicitRNG\", \"Float64\")"] 1.65 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"ImplicitRNG\", \"ImplicitFloat64\")"] 1.59 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"ImplicitRNG\", \"Int64\")"] 1.50 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randexp\", \"ImplicitRNG\", \"Float64\")"] 1.45 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randexp\", \"ImplicitRNG\", \"ImplicitFloat64\")"] 1.50 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randn\", \"ImplicitRNG\", \"Float64\")"] 1.55 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randn\", \"ImplicitRNG\", \"ImplicitFloat64\")"] 1.38 (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\", \"positive argument\", \"Float32\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"2 <= abs(x) < 2^28\", \"positive argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 1.44 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"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\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float32\")"] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x positive\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.47 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"positive argument\", Float32)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"one\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 1.07 (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", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", "(\"zero\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 10)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 1.11 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.16 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, false))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, true))"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, BigInt, false)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (false, false))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (false, true))"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, false)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (false, false))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (false, true))"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Int64, (true, true))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigInt\")"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Bool\")"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigInt, false)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigInt, false)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, false)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, false)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigInt, false)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, BigInt}, false)"] 0.91 (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 1.3.0-DEV.560
Commit bb8fefb (2019-07-20 03:31 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   93354717 s       5037 s   10749389 s  4030365927 s         27 s
       #2  3501 MHz  613313808 s        208 s   10334204 s  3517287982 s         22 s
       #3  3501 MHz   76744215 s       3241 s    6426306 s  4057740945 s         30 s
       #4  3501 MHz   72038660 s         20 s    9076207 s  4058126014 s         21 s
       
  Memory: 31.383651733398438 GB (11603.33203125 MB free)
  Uptime: 4.1440109e7 sec
  Load Avg:  0.93505859375  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)