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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@5989f0772c3e74fe74c05069b450f6da7552a593 vs JuliaLang/julia@ef76d9cd19ecb4fe47d58070d3116357283cb3a5

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", "any/all", "(\"all\", \"Array{Float32,1}\")"] 1.21 (15%) ❌ 1.00 (1%)
["array", "cat", "(\"catnd\", 5)"] 1.23 (15%) ❌ 1.03 (1%) ❌
["array", "equality", "(\"isequal\", \"UnitRange{Int64}\")"] 1.50 (15%) ❌ 1.00 (1%)
["broadcast", "sparse", "((1000, 1000), 1)"] 1.25 (15%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Vector\", \"String\", \"done\")"] 0.64 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"pop!\", \"specified\")"] 1.25 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"pop!\", \"specified\")"] 1.45 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"in\", \"true\")"] 1.41 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"Date\", \"ISODateFormat\")"] 1.25 (15%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 1.24 (15%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 0.29 (15%) ✅ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 1.04 (15%) 1.12 (1%) ❌
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small BitSet\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"RandomDevice\", \"large String\")"] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:1\")"] 1.33 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.35 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"UInt16\")"] 1.27 (25%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"BigInt\")"] 1.70 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"Complex{BigInt}\")"] 1.73 (50%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.31 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"] 1.21 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 0.79 (15%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.33 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"y infinite\", \"y positive\", \"x finite\", \"x positive\", \"Float32\")"] 1.24 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"y zero\", \"y positive\", \"x positive\", \"Float32\")"] 1.31 (15%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.84 (15%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.26 (15%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 1.17 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"positive argument\", \"Float32\")"] 1.18 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float64\")"] 1.17 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float32\")"] 0.78 (15%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float64\")"] 1.17 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.24 (15%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"zero\", \"Float32\")"] 1.27 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float32\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"negative argument\", \"Float32\")"] 0.79 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 0.78 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\")"] 0.78 (15%) ✅ 1.00 (1%)
["shootout", "nbody_vec"] 1.18 (15%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 10)"] 1.17 (15%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (4, 4), (4, 4))"] 0.77 (15%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 1.35 (15%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.20 (15%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, false)"] 1.16 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Bool\")"] 1.34 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.81 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigFloat, true)"] 1.16 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", Complex{Float64}, false)"] 1.43 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, true)"] 0.82 (15%) ✅ 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"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["micro"]
  • ["misc", "afoldl"]
  • ["misc", "bitshift"]
  • ["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", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 0.7.0-DEV.4957
Commit 5989f07 (2018-04-26 20:11 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.4 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    2308216 s        242 s     600924 s  258049003 s          3 s
       #2  3501 MHz   15739627 s          0 s     331507 s  245051309 s          3 s
       #3  3501 MHz    1978033 s       2385 s     354978 s  258979665 s          4 s
       #4  3501 MHz    1931591 s          2 s     268496 s  259239375 s          0 s
       
  Memory: 31.383651733398438 GB (13869.7734375 MB free)
  Uptime: 2.615745e6 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)

Comparison Build

Julia Version 0.7.0-DEV.4955
Commit ef76d9c (2018-04-26 14:57 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.4 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    2397576 s        242 s     611412 s  258835846 s          3 s
       #2  3501 MHz   16555000 s          0 s     340749 s  245115793 s          3 s
       #3  3501 MHz    2086646 s       2385 s     362701 s  259752582 s          5 s
       #4  3501 MHz    2016294 s          2 s     275682 s  260037051 s          0 s
       
  Memory: 31.383651733398438 GB (13560.3828125 MB free)
  Uptime: 2.624645e6 sec
  Load Avg:  1.0224609375  1.02880859375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)