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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@5e6eaff5c6207e0f0b627794620c70a86ba5f4fa vs JuliaLang/julia@fa766bca235a81b8372626ae5c9da24b01f88364

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", "growth", "(\"append!\", 2048)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"append!\", 256)"] 0.86 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.87 (5%) ✅ 1.00 (1%)
["array", "index", "2d"] 0.79 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Int64\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"perf_mapreduce\", \"Int64\")"] 0.92 (5%) ✅ 1.00 (1%)
["dates", "accessor", "day"] 0.87 (5%) ✅ 1.00 (1%)
["dates", "string", "Date"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Bool,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int8,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] 2.35 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] 2.36 (45%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 1.75 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 1, 24)"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.95 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Dict\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 1.26 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 1.25 (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", "asinh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"positive argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"negative argument\", \"Float32\")"] 0.70 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float32\")"] 1.06 (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 (small)\", \"y positive\", \"x positive\", \"Float32\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.72 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"very small\", \"positive argument\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"2.0^-28 <= abs(x) < 22.0\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "no backtracking"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int64, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, false)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.90 (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 1.3.0-DEV.454
Commit 5e6eaff (2019-06-26 21:39 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   49886575 s       2436 s   12249964 s  3871188313 s         13 s
       #2  3501 MHz  298017543 s         27 s    5393587 s  3639560822 s         19 s
       #3  3501 MHz   40905664 s       3174 s    4875650 s  3897265254 s         31 s
       #4  3501 MHz   39458266 s         16 s    3690115 s  3901407807 s         28 s
       
  Memory: 31.383651733398438 GB (5560.24609375 MB free)
  Uptime: 3.9458836e7 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 1.3.0-DEV.452
Commit fa766bc (2019-06-26 21:36 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   49985559 s       2436 s   12258308 s  3872248656 s         13 s
       #2  3501 MHz  299106393 s         27 s    5407230 s  3639630018 s         19 s
       #3  3501 MHz   41020888 s       3174 s    4880351 s  3898316646 s         31 s
       #4  3501 MHz   39565634 s         16 s    3694464 s  3902467800 s         28 s
       
  Memory: 31.383651733398438 GB (5260.95703125 MB free)
  Uptime: 3.9470556e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)