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Benchmark Report

Job Properties

Commit(s): maxbennedich/julia@7f94a8c144b05aeeac59ec3a5542faef562e87be vs JuliaLang/julia@a3599e99d423353a828803a45d6087c16d4c8c78

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\", \"dim2\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.89 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.86 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float32,1}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.92 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.86 (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)"] 0.87 (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", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.94 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"pop!\", \"specified\")"] 1.50 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"pop!\", \"specified\")"] 1.28 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff!\", \"big\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union!\", \"big\")"] 0.68 (25%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 0.95 (5%) ✅ 1.00 (1%)
["dates", "string", "Date"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.15 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 0.62 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"90-10\")"] 1.13 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Bool,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Float64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 0.80 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Bool,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float32,1}\")"] 1.11 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float32,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.27 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "go", "go_game"] 0.88 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.84 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.86 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.82 (5%) ✅ 1.00 (1%)
["problem", "raytrace", "raytrace"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.84 (5%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551616)\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"] 1.98 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float32\")"] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"0 <= abs(x) < 2^-28\", \"positive argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float64\")"] 1.18 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x negative\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 0.82 (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 (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float64\")"] 1.07 (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%)
["scalar", "tanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"OneTo\", 1000)"] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"array\", 1000)"] 1.31 (30%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"logical\", 1000)"] 1.68 (30%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"range\", 1000)"] 0.67 (30%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_B\", \"dense 5x50, sparse 50x500 -> dense 5x500\")"] 0.68 (30%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.91 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.92 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.13 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 0.86 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Bool, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Float64, true)"] 0.80 (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", "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", "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 1.1.0-DEV.652
Commit 7f94a8c (2018-11-09 22:45 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   60967456 s       5006 s    6650945 s  1897730253 s         22 s
       #2  3501 MHz  326859528 s        203 s    5238193 s  1636656567 s         15 s
       #3  3501 MHz   44897786 s       3210 s    3819731 s  1919986722 s         25 s
       #4  3501 MHz   41705422 s          0 s    4824292 s  1921768198 s         14 s
       
  Memory: 31.383651733398438 GB (4135.5546875 MB free)
  Uptime: 1.9704013e7 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 1.1.0-DEV.648
Commit a3599e9 (2018-11-09 22:43 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   61094265 s       5006 s    6661662 s  1898867824 s         22 s
       #2  3501 MHz  328043208 s        203 s    5254175 s  1636735988 s         15 s
       #3  3501 MHz   45011191 s       3210 s    3827078 s  1921144831 s         25 s
       #4  3501 MHz   41837310 s          0 s    4831473 s  1922907994 s         14 s
       
  Memory: 31.383651733398438 GB (3961.88671875 MB free)
  Uptime: 1.971681e7 sec
  Load Avg:  0.9228515625  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)