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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@c670f60ec1f82c226409f9769b9133757d1fcafa vs JuliaLang/julia@3fcb168ceb336f5af11954d2c47f2975d8547944

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!\", \"Int\")"] 1.39 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1}\")"] 1.48 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.07 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.77 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 1)"] 1.19 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 2)"] 1.14 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 1.14 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 4)"] 1.15 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 5)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 5)"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.90 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 3.10 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.11 (5%) ❌ 1.09 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.05 (5%) ❌ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 0.95 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"NPDUpperTriangular\", 1024)"] 1.66 (45%) ❌ 1.00 (1%)
["micro", "randmatstat"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "18129"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "23042", "Complex{Float32}"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 1.35 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 1, 24)"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.93 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"'a':'z'\")"] 1.48 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 1.42 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 0.57 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Int64\", \"BigInt\")"] 1.68 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"BigInt\")"] 1.81 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 1.44 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 0.82 (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\", \"Float64\")"] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float64\")"] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x negative\", \"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\")"] 1.43 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"y finite\", \"y negative\", \"x infinite\", \"x negative\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", "(\"large\", \"positive argument\", \"Float32\")"] 1.23 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"negative argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float32\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.44 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float32\")"] 2.13 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 1.06 (5%) ❌ 1.00 (1%)
["shootout", "pidigits"] 0.91 (5%) ✅ 1.00 (1%)
["sort", "issorted", "(\"reverse\", \"descending\")"] 1.40 (30%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 100)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 0.94 (5%) ✅ 1.00 (1%)
["string", "findfirst", "Char"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (true, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int64, (false, true))"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, false)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.44 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.30 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Nothing, BigFloat}, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 1.05 (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-rc1.18
Commit c670f60 (2019-06-19 13:45 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   49248030 s       2436 s   12031616 s  3806208217 s         13 s
       #2  3501 MHz  293306185 s         26 s    5301638 s  3578294944 s         19 s
       #3  3501 MHz   40268432 s       3174 s    4843847 s  3831854435 s         31 s
       #4  3501 MHz   38859842 s         16 s    3654706 s  3835957309 s         28 s
       
  Memory: 31.383651733398438 GB (5829.70703125 MB free)
  Uptime: 3.8797893e7 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 1.2.0-rc1.2
Commit 3fcb168 (2019-05-31 18:19 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   49349013 s       2436 s   12040717 s  3807333839 s         13 s
       #2  3501 MHz  294475513 s         26 s    5316007 s  3578350974 s         19 s
       #3  3501 MHz   40383554 s       3174 s    4848898 s  3832973978 s         31 s
       #4  3501 MHz   38955736 s         16 s    3659866 s  3837096071 s         28 s
       
  Memory: 31.383651733398438 GB (4561.9765625 MB free)
  Uptime: 3.8810295e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)