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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@13ee84e97f64fb3f793d68445a90597795574db5 vs JuliaLang/julia@a390279cfb8434be0a5cfcd90ceb69cb178a4884

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", "bool", "boolarray_true_load!"] 0.79 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 1.13 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"Statistics.mean\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Int64\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000000,), 2)"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup\")"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["collection", "deletion", "(\"Dict\", \"Int\", \"filter!\")"] 0.60 (25%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Dict\", \"Int\", \"pop!\")"] 0.27 (25%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Set\", \"Int\", \"filter!\")"] 0.68 (25%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Set\", \"Int\", \"pop!\")"] 0.26 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"pop!\", \"unspecified\")"] 0.72 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"setdiff!\", \"Vector\")"] 0.72 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", "(\"Date\", \"Day\")"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", "(\"Date\", \"Month\")"] 1.08 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"ISODateTimeFormat\")"] 1.05 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.11 (5%) ❌ 1.00 (1%)
["dates", "string", "DateTime"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.17 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 0.62 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"90-10\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] 0.88 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 0.86 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"BitArray{1}\", \"50-50\")"] 1.10 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.15 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.03 (5%) 1.04 (1%) ❌
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 0.46 (5%) ✅ 0.68 (1%) ✅
["io", "serialization", "(\"serialize\", \"Vector{String}\")"] 1.06 (5%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] 2.41 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] 2.47 (45%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.95 (5%) ✅ 1.00 (1%)
["micro", "parseint"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "18129"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "parse", "Int"] 0.72 (5%) ✅ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 1.05 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 1024)"] 1.07 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 2)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 4096)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 512)"] 1.07 (5%) ❌ 0.98 (1%) ✅
["parallel", "remotecall", "(\"identity\", 64)"] 1.07 (5%) ❌ 0.99 (1%)
["problem", "ziggurat", "ziggurat"] 1.10 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 1.48 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.35 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.92 (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\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"div\", \"Float64\", \"Int64\")"] 1.57 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"Int64\", \"BigInt\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"UInt64\", \"BigInt\")"] 1.53 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"] 1.52 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"negative 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\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 1.06 (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\", \"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", "(\"abs(y/x) safe (small)\", \"y negative\", \"x positive\", \"Float32\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.28 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"2.7755602085408512e-17 <= abs(x) < 22.0\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"2.7755602085408512e-17 <= abs(x) < 22.0\", \"positive argument\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"positive argument\", Float64)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "(\"mul\", \"Complex{UInt64}\")"] 0.50 (40%) ✅ 1.00 (1%)
["scalar", "fastmath", "(\"sub\", \"BigInt\")"] 1.44 (40%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float64\")"] 1.81 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\")"] 0.95 (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\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["shootout", "k_nucleotide"] 1.06 (5%) ❌ 1.00 (1%)
["shootout", "meteor_contest"] 1.05 (5%) ❌ 1.00 (1%)
["shootout", "pidigits"] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "index", "(\"spvec\", \"integer\", 1000)"] 2.25 (30%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "least squares (default), matrix rhs"] 0.15 (5%) ✅ 1.14 (1%) ❌
["sparse", "sparse solves", "least squares (default), vector rhs"] 0.26 (5%) ✅ 1.15 (1%) ❌
["sparse", "sparse solves", "least squares (qr), matrix rhs"] 0.15 (5%) ✅ 1.14 (1%) ❌
["sparse", "sparse solves", "least squares (qr), vector rhs"] 0.26 (5%) ✅ 1.15 (1%) ❌
["sparse", "transpose", "(\"adjoint!\", (20000, 20000))"] 1.32 (30%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 0.94 (5%) ✅ 1.00 (1%)
["string", "replace"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (4, 4), (4, 4))"] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (16, 16), (16,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (4, 4), (4,))"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, true)"] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Bool}, false)"] 0.92 (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 1.0.3-pre.70
Commit 13ee84e (2018-12-07 16:45 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   39734338 s       2415 s    7046145 s  2150982429 s         11 s
       #2  3501 MHz  214772675 s         14 s    3858080 s  1984087032 s         17 s
       #3  3501 MHz   30905153 s       3138 s    3607370 s  2168064780 s         26 s
       #4  3501 MHz   29699346 s         11 s    2789438 s  2171116082 s         21 s
       
  Memory: 31.383651733398438 GB (3727.74609375 MB free)
  Uptime: 2.2045523e7 sec
  Load Avg:  1.17138671875  1.0478515625  1.05615234375
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)

Comparison Build

Julia Version 1.0.3-pre.2
Commit a390279 (2018-12-05 22:45 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   39850734 s       2415 s    7056870 s  2152117791 s         11 s
       #2  3501 MHz  215964643 s         14 s    3873962 s  1984145914 s         17 s
       #3  3501 MHz   31013629 s       3138 s    3614008 s  2169215819 s         26 s
       #4  3501 MHz   29809743 s         11 s    2795781 s  2172266028 s         21 s
       
  Memory: 31.383651733398438 GB (5049.5859375 MB free)
  Uptime: 2.2058196e7 sec
  Load Avg:  0.97412109375  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)