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Benchmark Report

Job Properties

Commit(s): chethega/julia@92bf1ca332b2a2fbfb53e8850a3aab81b90e3b7a vs JuliaLang/julia@84024a1f44127c4993cc25f8629588f8807706c3

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", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.71 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.79 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.74 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.80 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.87 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"Array{Float32,2}\")"] 0.47 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"Array{Int32,2}\")"] 0.45 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32,2}\")"] 0.47 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32,2}\")"] 0.44 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32,2}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32,2}\")"] 0.45 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2}\")"] 0.44 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2}\")"] 0.44 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Float32,2,Array{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Float32,2,Array{Float32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.43 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Int32,2,Array{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Int32,2,Array{Int32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.45 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical\", \"SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"1.0:0.00010001000100010001:2.0\")"] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"1.0:1.0:100000.0\")"] 0.47 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"100000:-1:1\")"] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"1:100000\")"] 0.48 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"Array{Float32,2}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"Array{Int32,2}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"BitArray{2}\")"] 0.50 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Float32,2,Array{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Float32,2,Array{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Int32,2,Array{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.49 (50%) ✅ 1.00 (1%)
["array", "index", "(\"sumlogical_view\", \"SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.50 (50%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"⊆\", \"Vector\")"] 0.74 (25%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"90-10\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float32,1}\")"] 0.91 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "fem", "sparse_fem"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "go", "go_game"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.89 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.94 (5%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:170141183460469231731687303715884105728)\")"] 1.30 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.40 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"BigFloat\", \"BigFloat\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 1.07 (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\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.72 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.27 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"zero\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 1.07 (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\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"negative argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.17 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigInt\")"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, false)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.40 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.34 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, BigFloat, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, BigInt, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Complex{Float64}, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float32, true)"] 1.09 (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", "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", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "bitshift"]
  • ["misc", "issue 12165"]
  • ["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", "transpose"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.1.0-DEV.539
Commit 92bf1ca (2018-10-24 00:18 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   35659331 s       2410 s    5792979 s  1771902394 s         10 s
       #2  3501 MHz  182625056 s         12 s    3287892 s  1631449692 s         15 s
       #3  3501 MHz   26863816 s       3134 s    3177376 s  1787109744 s         23 s
       #4  3501 MHz   25798765 s         11 s    2492225 s  1789757323 s         18 s
       
  Memory: 31.383651733398438 GB (4930.203125 MB free)
  Uptime: 1.8188909e7 sec
  Load Avg:  0.97412109375  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.1.0-DEV.535
Commit 84024a1 (2018-10-23 19:05 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   35796176 s       2410 s    5803954 s  1772981362 s         10 s
       #2  3501 MHz  183757046 s         12 s    3304196 s  1631531877 s         15 s
       #3  3501 MHz   26982625 s       3134 s    3184728 s  1788213988 s         23 s
       #4  3501 MHz   25915932 s         11 s    2499184 s  1790863832 s         18 s
       
  Memory: 31.383651733398438 GB (4600.796875 MB free)
  Uptime: 1.8201222e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)