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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@bd375ac513839e00d4353779f79cef609df44f67 vs JuliaLang/julia@9248bf7687a91fa0cce4bd496889e5cf578b009d

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!\", \"Float64\", \"dim1\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 256)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_single!\", 8)"] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 0.65 (5%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Vector\", \"Int\", \"filter!\")"] 0.75 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"setindex!\", \"new\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"push!\")"] 1.30 (25%) ❌ 1.00 (1%)
["dates", "parse", "Date"] 0.94 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 0.81 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float32,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.13 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 1.15 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.07 (5%) ❌ 1.09 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.13 (5%) ❌ 1.00 (1%)
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["micro", "printfd"] 1.08 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.13 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 0.93 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand!\", \"ImplicitRNG\", \"large Vector\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small Set\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"1 <= abs(x) < 2\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Int64\", \"BigInt\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Int64\", \"BigInt\")"] 2.04 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"] 1.62 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"2^-28 <= abs(x) < 2\", \"negative argument\", \"Float32\")"] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x negative\", \"Float32\")"] 0.82 (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) small\", \"y positive\", \"x negative\", \"Float32\")"] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.31 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"2^-28 <= abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 0.76 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"positive argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float32\")"] 0.72 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float32\")"] 1.23 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 0.72 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"negative argument\", \"Float64\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"very large\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.93 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.38 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.08 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigFloat, (false, true))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigFloat, (true, true))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (false, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Bool, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, true))"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (true, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, false)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Int64}, false)"] 1.12 (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-rc2.26
Commit bd375ac (2019-08-12 01:32 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   96818168 s       5041 s   11221218 s  4263740235 s         27 s
       #2  3501 MHz  650691575 s        208 s   11167002 s  3716844625 s         24 s
       #3  3501 MHz   80280460 s       3245 s    6660789 s  4291787905 s         32 s
       #4  3501 MHz   75311888 s         22 s    9426734 s  4292229201 s         22 s
       
  Memory: 31.383651733398438 GB (15142.89453125 MB free)
  Uptime: 4.3819385e7 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-rc2.0
Commit 9248bf7 (2019-07-08 19:42 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   96918520 s       5041 s   11229745 s  4264836172 s         27 s
       #2  3501 MHz  651840300 s        208 s   11180608 s  3716890975 s         24 s
       #3  3501 MHz   80387436 s       3245 s    6666195 s  4292883730 s         32 s
       #4  3501 MHz   75409592 s         22 s    9431545 s  4293335356 s         22 s
       
  Memory: 31.383651733398438 GB (13951.484375 MB free)
  Uptime: 4.3831476e7 sec
  Load Avg:  1.03662109375  1.037109375  1.04638671875
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)