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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@5c635ad9b87ac0eab330baaa27065c6175725542

Triggered By: link

Tag Predicate: ALL

Daily Job: 2020-01-22 vs 2020-01-21

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\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"catnd\", 5)"] 0.87 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.61 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.87 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.87 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"BitArray\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 8)"] 0.78 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_single!\", 2048)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"perf_reduce\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.92 (5%) ✅ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"Any\", \"iterate\")"] 1.37 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"push!\", \"new\")"] 1.32 (25%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 0.89 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Matrix{Float64}\")"] 0.93 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 0.43 (45%) ✅ 1.00 (1%)
["linalg", "factorization", "(\"eigen\", \"Diagonal\", 256)"] 0.47 (45%) ✅ 1.00 (1%)
["micro", "parseint"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "julia", "(\"macroexpand\", \"evalpoly\")"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 0.94 (5%) ✅ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 2)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 512)"] 1.05 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 64)"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "seismic", "(\"seismic\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large String\")"] 1.26 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small Dict\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "sequences", "(\"randperm\", \"MersenneTwister\", \"5\")"] 1.31 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x positive\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 0.73 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"positive argument\", \"Float32\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"one\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 2.14 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float32\")"] 0.64 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.44 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 10)"] 0.78 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 10)"] 1.13 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 1000)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 100)"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 0.93 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.11 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.91 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.72 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (16, 16), (16, 16))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4,))"] 1.65 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 0.86 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (false, true))"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (true, true))"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (true, true))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int64, (true, true))"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, false)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int64, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, true))"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float32, (false, false))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, true))"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, false)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Bool}, false)"] 1.59 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Int64}, false)"] 0.48 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Int8}, false)"] 1.61 (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 1.5.0-DEV.138
Commit 5c635ad (2020-01-21 22:14 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  119087028 s       5051 s   13820102 s  5605335000 s         32 s
       #2  3501 MHz  876258983 s        217 s   16528416 s  4854268349 s         26 s
       #3  3501 MHz  103231075 s       3266 s    8215417 s  5635805737 s         36 s
       #4  3501 MHz   96743546 s         43 s   11742930 s  5636447048 s         25 s
       
  Memory: 31.383651733398438 GB (18590.625 MB free)
  Uptime: 5.7513592e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-8.0.1 (ORCJIT, haswell)