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Benchmark Report

Job Properties

Commit(s): tkelman/julia@f6992338c6bec61cbcd1112ada0896a832d953d2 vs JuliaLang/julia@c3ffa99e98f926505ce0f3b801eb6ba3db7bc173

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", "(\"any\", \"Array{Float64,1} generator\")"] 1.26 (15%) ❌ 1.00 (1%)
["array", "index", "(\"sumeach_view\", \"100000:-1:1\")"] 1.69 (50%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"pop!\", \"specified\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"pop!\", \"unspecified\")"] 1.41 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"in\", \"true\")"] 1.33 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"==\", \"self\")"] 0.63 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"⊆\", \"self\")"] 1.64 (25%) ❌ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 0.83 (15%) ✅ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 0.27 (15%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] 2.45 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] 2.45 (45%) ❌ 1.00 (1%)
["problem", "raytrace", "raytrace"] 1.19 (15%) ❌ 1.00 (1%)
["random", "collections", "(\"rand!\", \"RandomDevice\", \"'a':'z'\")"] 2.00 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt128\", \"1:4294967297\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.43 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"RandomDevice\", \"Float64\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 0.75 (15%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 1.23 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.18 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"positive argument\", \"Float32\")"] 1.53 (15%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"BigInt\")"] 1.71 (40%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float64\")"] 1.21 (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) < 9π/4\", \"negative argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float32\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.84 (15%) ✅ 1.00 (1%)
["sparse", "transpose", "(\"transpose!\", (20000, 20000))"] 1.45 (30%) ❌ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (16, 16), (16, 16))"] 0.83 (15%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 0.79 (15%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.21 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigFloat, false)"] 0.78 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigInt, true)"] 1.28 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", Bool, true)"] 0.84 (15%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["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.4504
Commit f699233 (2018-03-08 22:16 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  122009734 s          0 s   21543095 s  5460307453 s        105 s
       #2  3501 MHz  535883474 s          0 s   13396626 s  5068057707 s         26 s
       #3  3501 MHz   99898483 s          0 s   11410270 s  5506579681 s         88 s
       #4  3501 MHz   95521300 s          0 s   11585848 s  5510780980 s         23 s
       
  Memory: 31.383651733398438 GB (5614.203125 MB free)
  Uptime: 5.6205143e7 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.4498
Commit c3ffa99 (2018-03-08 22:14 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  122099755 s          0 s   21552996 s  5461146566 s        105 s
       #2  3501 MHz  536773911 s          0 s   13406730 s  5068098807 s         26 s
       #3  3501 MHz   99984440 s          0 s   11418305 s  5507427370 s         88 s
       #4  3501 MHz   95604339 s          0 s   11593712 s  5511631996 s         23 s
       
  Memory: 31.383651733398438 GB (5219.25390625 MB free)
  Uptime: 5.6214567e7 sec
  Load Avg:  0.9716796875  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)