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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@7b000e5ba651dc1db54eb52d3b85208635adaf7a vs JuliaLang/julia@ea58d3cb6dc71daf14daaa8301afa740e8a7e202

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", "any/all", "(\"any\", \"Array{Int16,1} generator\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_true_load!"] 1.27 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 1.14 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 8)"] 0.84 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"perf_mapreduce\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"perf_reduce\", \"Int64\")"] 1.12 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs2\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"tup_tup\")"] 0.91 (5%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"<\", \"BitSet\")"] 1.30 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"⊆\", \"self\")"] 0.64 (25%) ✅ 1.00 (1%)
["dates", "accessor", "hour"] 1.08 (5%) ❌ 1.00 (1%)
["dates", "accessor", "month"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "accessor", "second"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", "(\"DateTime\", \"Day\")"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 0.88 (5%) ✅ 1.00 (1%)
["dates", "string", "Date"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Int8,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 1.02 (5%) 1.01 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 0.98 (5%) 0.96 (1%) ✅
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.02 (5%) 1.01 (1%) ❌
["linalg", "factorization", "(\"eigen\", \"Diagonal\", 256)"] 0.44 (45%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.93 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Set\")"] 1.26 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large String\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] 1.39 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"Complex{Float64}\")"] 1.56 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acosh", "(\"very large\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Int64\", \"BigInt\")"] 1.58 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"UInt64\", \"BigInt\")"] 1.54 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"BigInt\")"] 1.86 (50%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"0 <= abs(x) < 2^-28\", \"positive argument\", \"Float32\")"] 1.87 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"2^-28 <= abs(x) < 2\", \"positive argument\", \"Float32\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float32\")"] 1.11 (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\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"positive argument\", \"Float64\")"] 0.79 (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\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"negative argument\", \"Float32\")"] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"positive argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x negative\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x positive\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x positive\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x zero\", \"y negative\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y finite\", \"y negative\", \"x infinite\", \"x positive\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y infinite\", \"y negative\", \"x finite\", \"x negative\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"y zero\", \"y positive\", \"x positive\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", "(\"small\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", "(\"very small\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float64\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"no reduction\", \"zero\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.11 (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) < 6π/4\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"2.0^-28 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 1.11 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 1.13 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (2, 2), (2, 2))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2,))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.82 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (true, true))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int64, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.43 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Missing, Bool}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.90 (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 1.3.1-pre.20
Commit 7b000e5 (2019-12-18 13:57 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   54370950 s       2445 s   16652685 s  5364546503 s         16 s
       #2  3501 MHz  336296993 s         47 s    6625839 s  5106851348 s         25 s
       #3  3501 MHz   45504043 s       3207 s    5384599 s  5398495373 s         37 s
       #4  3501 MHz   43821940 s         16 s    4182582 s  5403623697 s         34 s
       
  Memory: 31.383651733398438 GB (13470.76953125 MB free)
  Uptime: 5.4532932e7 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 1.3.1-pre.1
Commit ea58d3c (2019-12-16 22:53 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   54492627 s       2445 s   16661265 s  5365727265 s         16 s
       #2  3501 MHz  337524850 s         47 s    6650905 s  5106913853 s         25 s
       #3  3501 MHz   45601808 s       3207 s    5389029 s  5399708071 s         37 s
       #4  3501 MHz   43915769 s         16 s    4186916 s  5404840964 s         34 s
       
  Memory: 31.383651733398438 GB (13952.25 MB free)
  Uptime: 5.454609e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)