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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@c54e7ac299e35a06916d49efca710f06f8f0c4e6

Triggered By: link

Tag Predicate: ALL

Daily Job: 2017-08-20 vs 2017-08-19

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","comprehension",("collect","Array{Float64,1}")] 1.46 (15%) ❌ 1.00 (1%)
["array","comprehension",("collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 1.15 (15%) ❌ 1.00 (1%)
["array","comprehension",("comprehension_collect","Array{Float64,1}")] 1.59 (15%) ❌ 1.00 (1%)
["array","comprehension",("comprehension_collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 1.32 (15%) ❌ 1.00 (1%)
["array","comprehension",("comprehension_iteration","Array{Float64,1}")] 1.16 (15%) ❌ 1.00 (1%)
["array","index",("sumvector_view","BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2}")] 1.81 (50%) ❌ 1.00 (1%)
["array","index",("sumvector_view","SubArray{Float32,2,Array{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] 1.56 (50%) ❌ 1.00 (1%)
["array","index",("sumvector_view","SubArray{Int32,2,Array{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] 1.70 (50%) ❌ 1.00 (1%)
["array","index",("sumvector_view","SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}")] 1.52 (50%) ❌ 1.00 (1%)
["broadcast","dotop",("Float64",(1000,1000),2)] 1.16 (15%) ❌ 1.00 (1%)
["broadcast","mix_scalar_tuple",(3,"scal_tup")] 1.16 (15%) ❌ 1.00 (1%)
["broadcast","mix_scalar_tuple",(3,"tup_tup")] 1.33 (15%) ❌ 1.00 (1%)
["linalg","arithmetic",("sqrtm","Base.LinAlg.UnitUpperTriangular",1024)] 2.44 (45%) ❌ 1.00 (1%)
["linalg","arithmetic",("sqrtm","UpperTriangular",1024)] 2.38 (45%) ❌ 1.00 (1%)
["problem","laplacian","laplace_iter_vec"] 1.15 (15%) ❌ 1.00 (1%)
["random","ranges",("rand","MersenneTwister","BigInt","RangeGenerator(1:1)")] 1.02 (25%) 1.01 (1%) ❌
["random","types",("randexp!","MersenneTwister","Float16")] 1.28 (25%) ❌ 1.00 (1%)
["random","types",("randn!","MersenneTwister","Float16")] 1.27 (25%) ❌ 1.00 (1%)
["scalar","fastmath",("mul","BigInt")] 0.59 (40%) ✅ 1.00 (1%)
["scalar","mod2pi",("argument reduction (easy) abs(x) < 9π/4","positive argument","Float64")] 0.84 (15%) ✅ 1.00 (1%)
["sparse","transpose",("ctranspose",(20000,10000))] 1.35 (30%) ❌ 1.00 (1%)
["sparse","transpose",("ctranspose",(20000,20000))] 1.52 (30%) ❌ 1.00 (1%)
["sparse","transpose",("transpose",(20000,20000))] 1.36 (30%) ❌ 1.00 (1%)
["tuple","reduction",("minimum",(8,))] 1.16 (15%) ❌ 1.00 (1%)

Benchmark Group List

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

  • ["array","bool"]
  • ["array","cat"]
  • ["array","comprehension"]
  • ["array","convert"]
  • ["array","growth"]
  • ["array","index"]
  • ["array","reductions"]
  • ["array","reverse"]
  • ["array","setindex!"]
  • ["array","subarray"]
  • ["broadcast","dotop"]
  • ["broadcast","fusion"]
  • ["broadcast","mix_scalar_tuple"]
  • ["broadcast","sparse"]
  • ["broadcast","typeargs"]
  • ["dates","accessor"]
  • ["dates","arithmetic"]
  • ["dates","construction"]
  • ["dates","conversion"]
  • ["dates","parse"]
  • ["dates","query"]
  • ["dates","string"]
  • ["io","read"]
  • ["io","serialization"]
  • ["linalg","arithmetic"]
  • ["linalg","blas"]
  • ["linalg","factorization"]
  • ["micro"]
  • ["misc","afoldl"]
  • ["misc","bitshift"]
  • ["misc","julia"]
  • ["misc","parse"]
  • ["misc","repeat"]
  • ["misc","splatting"]
  • ["nullable","basic"]
  • ["nullable","nullablearray"]
  • ["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","arithmetic"]
  • ["scalar","asin"]
  • ["scalar","cos"]
  • ["scalar","fastmath"]
  • ["scalar","floatexp"]
  • ["scalar","intfuncs"]
  • ["scalar","iteration"]
  • ["scalar","mod2pi"]
  • ["scalar","predicate"]
  • ["scalar","rem_pio2"]
  • ["scalar","sin"]
  • ["shootout"]
  • ["simd"]
  • ["sort","insertionsort"]
  • ["sort","issorted"]
  • ["sort","mergesort"]
  • ["sort","quicksort"]
  • ["sparse","arithmetic"]
  • ["sparse","index"]
  • ["sparse","transpose"]
  • ["string"]
  • ["string","search"]
  • ["string","searchindex"]
  • ["tuple","index"]
  • ["tuple","linear algebra"]
  • ["tuple","reduction"]

Version Info

Primary Build

Julia Version 0.7.0-DEV.1393
Commit c54e7ac (2017-08-19 19:33 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   86349867 s          0 s   15517113 s  3772124277 s         90 s
       #2  3501 MHz  362575596 s          0 s    9902131 s  3510624071 s         14 s
       #3  3501 MHz   75651113 s          0 s    8665635 s  3799176167 s         74 s
       #4  3501 MHz   72285076 s          0 s    8848606 s  3802356481 s         17 s
       
  Memory: 31.383651733398438 GB (3764.4921875 MB free)
  Uptime: 3.8853619e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)