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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@f611b46e72c788c016933033dfadee6a9e138d47

Triggered By: link

Tag Predicate: ALL

Daily Job: 2019-03-21 vs 2019-03-20

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", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.81 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.86 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 1.12 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 1.19 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.95 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.87 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 0.90 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 0.92 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 0.89 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000, 1000), 2)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Lowercase\")"] 1.08 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.07 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Titlecase\")"] 1.08 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"Date\", \"ISODateFormat\")"] 1.20 (5%) ❌ 1.00 (1%)
["dates", "query", "(\"daysofweekinmonth\", \"Date\")"] 1.33 (25%) ❌ 1.00 (1%)
["dates", "string", "Date"] 0.95 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 0.88 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int64,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Matrix{Float64}\")"] 0.94 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "18129"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 0.81 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 0.88 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "go", "go_game"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.88 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.87 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.85 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.88 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand!\", \"MersenneTwister\", \"large Vector\")"] 1.26 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand!\", \"MersenneTwister\", \"small String\")"] 1.27 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Set\")"] 0.66 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"'a':'z'\")"] 1.48 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 0.74 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] 0.75 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 1.78 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 0.57 (40%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float32\")"] 1.36 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 0.82 (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\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x negative\", \"Float32\")"] 1.50 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.75 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"negative argument\", \"Float32\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"positive argument\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 0.86 (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", "(\"very small\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"positive argument\", Float64)"] 1.71 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "(\"mul\", \"BigInt\")"] 1.59 (40%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["shootout", "binary_trees"] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 10)"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 100)"] 0.89 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 10)"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 10)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "least squares (default), matrix rhs"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "least squares (default), vector rhs"] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "least squares (qr), matrix rhs"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "least squares (qr), vector rhs"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), matrix rhs"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "transpose", "(\"adjoint!\", (20000, 20000))"] 0.62 (30%) ✅ 1.00 (1%)
["sparse", "transpose", "(\"transpose!\", (20000, 20000))"] 0.67 (30%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.82 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 0.86 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 1.25 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (true, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int64, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigFloat, (false, false))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, BigFloat, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, BigFloat, (true, true))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Float64, (false, false))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.87 (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 1.2.0-DEV.516
Commit f611b46 (2019-03-20 14:57 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   81370744 s       5022 s    9196590 s  3000266113 s         24 s
       #2  3501 MHz  495974050 s        203 s    8308507 s  2591597530 s         19 s
       #3  3501 MHz   64531882 s       3228 s    5453433 s  3025838527 s         28 s
       #4  3501 MHz   60632707 s          9 s    7127940 s  3027250657 s         18 s
       
  Memory: 31.383651733398438 GB (4651.2265625 MB free)
  Uptime: 3.0983321e7 sec
  Load Avg:  0.93505859375  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)