Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@94541ece620adfdf485d8863e76dac0815887989 vs JuliaLang/julia@8e96fbc2afa26124bda002c8b211ced783fa0f51

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Results

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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", "bitarray_true_fill!"]`	0.85 (15%) ✅	1.00 (1%)
`["dates", "construction", "Date"]`	0.82 (15%) ✅	1.00 (1%)
`["dates", "construction", "DateTime"]`	0.70 (15%) ✅	1.00 (1%)
`["misc", "splatting", "(3, 3, 3)"]`	1.17 (15%) ❌	1.00 (1%)
`["problem", "raytrace", "raytrace"]`	1.18 (15%) ❌	1.00 (1%)
`["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{Int128}\")"]`	0.70 (25%) ✅	1.00 (1%)
`["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{UInt128}\")"]`	0.70 (25%) ✅	1.00 (1%)
`["scalar", "iteration", "in"]`	0.42 (25%) ✅	1.00 (1%)
`["scalar", "iteration", "indexed"]`	0.46 (25%) ✅	1.00 (1%)
`["sparse", "index", "(\"spmat\", \"splogical\", 100)"]`	0.69 (30%) ✅	1.00 (1%)
`["sparse", "index", "(\"spmat\", \"splogical\", 1000)"]`	0.31 (30%) ✅	1.00 (1%)
`["sparse", "matmul", "(\"A_mul_B\", \"dense 50x50, sparse 50x5 -> dense 50x5\")"]`	1.39 (30%) ❌	1.00 (1%)
`["sparse", "matmul", "(\"A_mul_Bc\", \"dense 500x5, sparse 5x5 -> dense 500x5\")"]`	1.00 (30%)	1.05 (1%) ❌
`["sparse", "matmul", "(\"A_mul_Bc\", \"dense 50x5, sparse 50x5 -> dense 50x50\")"]`	0.95 (30%)	0.95 (1%) ✅
`["sparse", "matmul", "(\"A_mul_Bc\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.07 (30%)	1.22 (1%) ❌
`["sparse", "matmul", "(\"A_mul_Bc\", \"dense 5x500, sparse 500x500 -> dense 5x500\")"]`	1.00 (30%)	0.83 (1%) ✅
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 500x5, sparse 5x5 -> dense 500x5\")"]`	1.00 (30%)	1.05 (1%) ❌
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 50x5, sparse 50x5 -> dense 50x50\")"]`	0.98 (30%)	0.96 (1%) ✅
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.02 (30%)	1.03 (1%) ❌
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"]`	1.13 (30%)	0.99 (1%) ✅
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 5x50, sparse 500x50 -> dense 5x500\")"]`	0.98 (30%)	1.63 (1%) ❌
`["sparse", "matmul", "(\"A_mul_Bt\", \"dense 5x500, sparse 50x500 -> dense 5x50\")"]`	0.99 (30%)	0.91 (1%) ✅
`["sparse", "matmul", "(\"Ac_mul_B\", \"dense 500x5, sparse 500x500 -> dense 5x500\")"]`	1.01 (30%)	0.83 (1%) ✅
`["sparse", "matmul", "(\"Ac_mul_B\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.07 (30%)	1.22 (1%) ❌
`["sparse", "matmul", "(\"Ac_mul_B\", \"dense 5x50, sparse 5x50 -> dense 50x50\")"]`	1.00 (30%)	0.95 (1%) ✅
`["sparse", "matmul", "(\"Ac_mul_B\", \"dense 5x500, sparse 5x5 -> dense 500x5\")"]`	1.00 (30%)	1.05 (1%) ❌
`["sparse", "matmul", "(\"Ac_mul_Bc\", \"dense 500x5, sparse 500x500 -> dense 5x500\")"]`	1.00 (30%)	0.83 (1%) ✅
`["sparse", "matmul", "(\"Ac_mul_Bc\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.07 (30%)	1.22 (1%) ❌
`["sparse", "matmul", "(\"Ac_mul_Bc\", \"dense 5x50, sparse 50x5 -> dense 50x50\")"]`	0.97 (30%)	0.95 (1%) ✅
`["sparse", "matmul", "(\"Ac_mul_Bc\", \"dense 5x500, sparse 5x5 -> dense 500x5\")"]`	1.01 (30%)	1.05 (1%) ❌
`["sparse", "matmul", "(\"At_mul_B\", \"dense 500x5, sparse 500x50 -> dense 5x50\")"]`	0.95 (30%)	0.91 (1%) ✅
`["sparse", "matmul", "(\"At_mul_B\", \"dense 50x5, sparse 50x500 -> dense 5x500\")"]`	0.99 (30%)	1.63 (1%) ❌
`["sparse", "matmul", "(\"At_mul_B\", \"dense 50x50, sparse 50x5 -> dense 50x5\")"]`	1.25 (30%)	0.99 (1%) ✅
`["sparse", "matmul", "(\"At_mul_B\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.00 (30%)	1.03 (1%) ❌
`["sparse", "matmul", "(\"At_mul_B\", \"dense 5x50, sparse 5x50 -> dense 50x50\")"]`	0.98 (30%)	0.96 (1%) ✅
`["sparse", "matmul", "(\"At_mul_B\", \"dense 5x500, sparse 5x5 -> dense 500x5\")"]`	1.01 (30%)	1.05 (1%) ❌
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 500x5, sparse 50x500 -> dense 5x50\")"]`	1.02 (30%)	0.91 (1%) ✅
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 50x5, sparse 500x50 -> dense 5x500\")"]`	0.98 (30%)	1.63 (1%) ❌
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 50x50, sparse 50x50 -> dense 50x50\")"]`	1.01 (30%)	1.03 (1%) ❌
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 50x50, sparse 5x50 -> dense 50x5\")"]`	1.10 (30%)	0.99 (1%) ✅
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 5x50, sparse 50x5 -> dense 50x50\")"]`	0.98 (30%)	0.96 (1%) ✅
`["sparse", "matmul", "(\"At_mul_Bt\", \"dense 5x500, sparse 5x5 -> dense 500x5\")"]`	1.01 (30%)	1.05 (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", "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.2461
Commit 94541ec (2017-11-07 21:45 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   92431644 s          0 s   14365274 s  4457447688 s        201 s
       #2  3501 MHz  367945238 s          0 s   15538406 s  4182932635 s         69 s
       #3  3501 MHz   76017729 s          0 s    8676553 s  4487893172 s         90 s
       #4  3501 MHz   71203894 s          0 s    8539758 s  4493260957 s         36 s
       
  Memory: 31.383651733398438 GB (10709.01953125 MB free)
  Uptime: 4.5744842e7 sec
  Load Avg:  1.0498046875  1.0283203125  1.0478515625
  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.2456
Commit 8e96fbc (2017-11-07 21:41 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   92520581 s          0 s   14374841 s  4457986170 s        201 s
       #2  3501 MHz  368519669 s          0 s   15548177 s  4182987183 s         69 s
       #3  3501 MHz   76105268 s          0 s    8684381 s  4488436546 s         90 s
       #4  3501 MHz   71303515 s          0 s    8547669 s  4493792291 s         36 s
       
  Memory: 31.383651733398438 GB (10476.15625 MB free)
  Uptime: 4.5751237e7 sec
  Load Avg:  0.9228515625  0.998046875  1.0400390625
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Haswell)
  LAPACK: libopenblas64_
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)

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