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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@3c40a45e74889cd4a523c20f671ec2c2f5812747 vs JuliaLang/julia@eace3e90c8d01c4749f8ef7739328a54e4290f5e

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}\")"] 0.78 (15%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000, 1000), 2)"] 1.42 (15%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 10)"] 1.21 (15%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 3)"] 1.22 (15%) ❌ 1.00 (1%)
["dates", "construction", "Date"] 0.80 (15%) ✅ 1.00 (1%)
["dates", "construction", "DateTime"] 0.65 (15%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 0.98 (15%) 0.97 (1%) ✅
["dates", "parse", "(\"Date\", \"DateFormat\")"] 0.97 (15%) 0.98 (1%) ✅
["linalg", "arithmetic", "(\"sqrt\", \"Base.LinAlg.UnitUpperTriangular\", 1024)"] 0.52 (45%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:18446744073709551615\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:1\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967295\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967297\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"Bool\", \"RangeGenerator(true:true)\")"] 1.33 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"UInt128\", \"RangeGenerator(1:1)\")"] 1.27 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"UInt128\", \"RangeGenerator(1:170141183460469231731687303715884105728)\")"] 1.71 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"UInt128\", \"RangeGenerator(1:4294967295)\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{Float64}\")"] 1.97 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{Int128}\")"] 0.69 (25%) ✅ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{UInt128}\")"] 0.69 (25%) ✅ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"Complex{Int128}\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"Complex{UInt128}\")"] 0.62 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 0.83 (15%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Complex{Float32}\", \"Float32\")"] 1.64 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Float64\", \"Float64\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x positive\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.36 (15%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 0.59 (15%) ✅ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"zero\", \"Float32\")"] 0.83 (15%) ✅ 1.00 (1%)
["scalar", "iteration", "in"] 0.37 (25%) ✅ 1.00 (1%)
["scalar", "iteration", "indexed"] 0.37 (25%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float64\")"] 1.26 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\")"] 0.84 (15%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 0.84 (15%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"splogical\", 100)"] 0.45 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"splogical\", 1000)"] 0.31 (30%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_B!\", \"sparse 4000x400, dense 400x40 -> dense 4000x40\")"] 1.39 (30%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 1.23 (15%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8, 8))"] 0.76 (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"]
  • ["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", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "cos"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "tan"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "mergesort"]
  • ["sort", "quicksort"]
  • ["sparse", "arithmetic"]
  • ["sparse", "constructors"]
  • ["sparse", "index"]
  • ["sparse", "matmul"]
  • ["sparse", "transpose"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "search"]
  • ["string", "searchindex"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "reduction"]

Version Info

Primary Build

Julia Version 0.7.0-DEV.2661
Commit 3c40a45 (2017-11-26 20:09 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  103878610 s          0 s   18441302 s  4602726383 s         98 s
       #2  3501 MHz  443378915 s          0 s   11765883 s  4280960833 s         22 s
       #3  3501 MHz   87666521 s          0 s   10054537 s  4638858946 s         81 s
       #4  3501 MHz   83840424 s          0 s   10245933 s  4642481720 s         21 s
       
  Memory: 31.383651733398438 GB (581.67578125 MB free)
  Uptime: 4.7388439e7 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)

Comparison Build

Julia Version 0.7.0-DEV.2655
Commit eace3e9 (2017-11-26 19:55 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  103970695 s          0 s   18451216 s  4603353013 s         98 s
       #2  3501 MHz  444043416 s          0 s   11775567 s  4281017383 s         22 s
       #3  3501 MHz   87760426 s          0 s   10062826 s  4639487365 s         81 s
       #4  3501 MHz   83925746 s          0 s   10253980 s  4643119136 s         21 s
       
  Memory: 31.383651733398438 GB (2958.88671875 MB free)
  Uptime: 4.7395753e7 sec
  Load Avg:  1.03564453125  1.0263671875  1.0458984375
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)