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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@2d0cf9f5a63a0a257786904b8d60438b51f5460c vs JuliaLang/julia@caf8af5b4bfc7b19da411ce8f1bca511131dccf5

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","bool","boolarray_true_load!"] 0.69 (15%) ✅ 1.00 (1%)
["array","comprehension",("collect","Array{Float64,1}")] 0.44 (15%) ✅ 1.00 (1%)
["array","comprehension",("collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 0.66 (15%) ✅ 1.00 (1%)
["array","comprehension",("comprehension_collect","Array{Float64,1}")] 0.64 (15%) ✅ 1.00 (1%)
["array","comprehension",("comprehension_collect","StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}")] 0.69 (15%) ✅ 1.00 (1%)
["array","comprehension",("comprehension_iteration","Array{Float64,1}")] 0.84 (15%) ✅ 1.00 (1%)
["array","index",("sumvector_view","BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32,2}")] 1.51 (50%) ❌ 1.00 (1%)
["array","index",("sumvector_view","SubArray{Float32,2,Array{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}")] 1.59 (50%) ❌ 1.00 (1%)
["scalar","arithmetic",("add","Complex{Int64}","Complex{Int64}")] 1.38 (25%) ❌ 1.00 (1%)
["scalar","arithmetic",("add","Complex{UInt64}","Complex{UInt64}")] 0.72 (25%) ✅ 1.00 (1%)
["scalar","arithmetic",("sub","Complex{Int64}","Complex{Int64}")] 0.71 (25%) ✅ 1.00 (1%)
["scalar","arithmetic",("sub","Complex{UInt64}","Complex{UInt64}")] 1.39 (25%) ❌ 1.00 (1%)
["simd",("sum_reduce","Float32",4096)] 0.76 (20%) ✅ 1.00 (1%)
["sparse","transpose",("ctranspose!",(20000,20000))] 0.64 (30%) ✅ 1.00 (1%)
["sparse","transpose",("transpose!",(20000,20000))] 0.69 (30%) ✅ 1.00 (1%)
["tuple","reduction",("minimum",(2,))] 1.18 (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","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.63
Commit 2d0cf9f (2017-04-07 01:19 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 (2112.8671875 MB free)
Uptime: 2.7224064e7 sec
Load Avg:  1.0830078125  1.03125  1.05078125
Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
       speed         user         nice          sys         idle          irq
#1  3501 MHz   52687153 s          0 s   10299059 s  2651510338 s         74 s
#2  3501 MHz  208987994 s          0 s    6322380 s  2505510443 s         11 s
#3  3501 MHz   46600882 s          0 s    5586100 s  2668920307 s         56 s
#4  3501 MHz   44071812 s          0 s    5726628 s  2671311117 s         11 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.61
Commit caf8af5 (2017-04-07 01:18 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 (2880.109375 MB free)
Uptime: 2.7229974e7 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   52767697 s          0 s   10308606 s  2652008962 s         74 s
#2  3501 MHz  209521824 s          0 s    6331368 s  2505558161 s         11 s
#3  3501 MHz   46698682 s          0 s    5594361 s  2669404566 s         56 s
#4  3501 MHz   44154132 s          0 s    5734720 s  2671811199 s         11 s

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