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Benchmark Report

Job Properties

Commit(s): wsshin/julia@0a65a6c67d0fa6fe31e094f841fd3522963096ec vs JuliaLang/julia@a02c7312d2e5ef0f047765e4df7bfd38c084573d

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","comprehension",("collect","Array{Float64,1}")] 0.47 (15%) ✅ 1.00 (1%)
["array","comprehension",("collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 0.69 (15%) ✅ 1.00 (1%)
["array","comprehension",("comprehension_collect","Array{Float64,1}")] 0.63 (15%) ✅ 1.00 (1%)
["array","comprehension",("comprehension_collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 0.70 (15%) ✅ 1.00 (1%)
["array","index",("sumvector_view","SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] 1.67 (50%) ❌ 1.00 (1%)
["broadcast","mix_scalar_tuple",(10,"scal_tup")] 0.29 (15%) ✅ 1.00 (1%)
["broadcast","mix_scalar_tuple",(10,"scal_tup_x3")] 0.82 (15%) ✅ 1.00 (1%)
["broadcast","mix_scalar_tuple",(3,"scal_tup")] 0.27 (15%) ✅ 1.00 (1%)
["broadcast","mix_scalar_tuple",(3,"tup_tup")] 1.32 (15%) ❌ 1.00 (1%)
["broadcast","mix_scalar_tuple",(5,"scal_tup")] 0.21 (15%) ✅ 1.00 (1%)
["broadcast","mix_scalar_tuple",(5,"scal_tup_x3")] 0.74 (15%) ✅ 1.00 (1%)
["broadcast","typeargs",("tuple",5)] 0.69 (15%) ✅ 1.00 (1%)
["sparse","transpose",("ctranspose!",(20000,10000))] 0.70 (30%) ✅ 1.00 (1%)
["tuple","reduction",("minimum",(2,))] 1.18 (15%) ❌ 1.00 (1%)
["tuple","reduction",("sum",(2,))] 0.82 (15%) ✅ 1.00 (1%)
["tuple","reduction",("sum",(8,))] 1.20 (15%) ❌ 1.00 (1%)
["tuple","reduction",("sumabs",(2,2))] 1.20 (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","parse"]
  • ["misc","repeat"]
  • ["misc","splatting"]
  • ["nullable","basic"]
  • ["nullable","nullablearray"]
  • ["parallel","remotecall"]
  • ["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"]
  • ["scalar","arithmetic"]
  • ["scalar","fastmath"]
  • ["scalar","floatexp"]
  • ["scalar","intfuncs"]
  • ["scalar","iteration"]
  • ["scalar","predicate"]
  • ["shootout"]
  • ["simd"]
  • ["sort","insertionsort"]
  • ["sort","issorted"]
  • ["sort","mergesort"]
  • ["sort","quicksort"]
  • ["sparse","arithmetic"]
  • ["sparse","index"]
  • ["sparse","transpose"]
  • ["string"]
  • ["tuple","index"]
  • ["tuple","linear algebra"]
  • ["tuple","reduction"]

Version Info

Primary Build

Julia Version 0.6.0-pre.beta.239
Commit 0a65a6c (2017-04-21 14:03 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
  WORD_SIZE: 64
           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
Memory: 31.383651733398438 GB (3022.26171875 MB free)
Uptime: 2.8437965e7 sec
Load Avg:  1.0029296875  1.0146484375  1.04541015625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
       speed         user         nice          sys         idle          irq
#1  3501 MHz   58112295 s          0 s    9007287 s  2770581886 s         84 s
#2  3501 MHz  219121171 s          0 s    9882783 s  2609532671 s         32 s
#3  3501 MHz   48921975 s          0 s    5714347 s  2787887083 s         44 s
#4  3501 MHz   44490710 s          0 s    5667948 s  2792625670 s         15 s

  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)

Comparison Build

Julia Version 0.6.0-pre.beta.234
Commit a02c731 (2017-04-21 14:02 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz
  WORD_SIZE: 64
           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
Memory: 31.383651733398438 GB (2802.328125 MB free)
Uptime: 2.8443659e7 sec
Load Avg:  1.0029296875  1.0146484375  1.04541015625
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
       speed         user         nice          sys         idle          irq
#1  3501 MHz   58197435 s          0 s    9017422 s  2771053830 s         84 s
#2  3501 MHz  219634561 s          0 s    9891694 s  2609579126 s         32 s
#3  3501 MHz   49007017 s          0 s    5722639 s  2788362345 s         44 s
#4  3501 MHz   44583959 s          0 s    5676451 s  2793092673 s         15 s

  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)