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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@c4b21ca160e40ec61d735487c5e03f6c8b93a53b

Triggered By: link

Tag Predicate: ALL

Daily Job: 2018-01-18 vs 2018-01-17

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", "(\"all\", \"Array{Float32,1} generator\")"] 0.82 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1} generator\")"] 1.20 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1} generator\")"] 0.79 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"BitArray\")"] 0.68 (15%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"getindex\")"] 1.44 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"first\")"] 1.43 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"intersect!\", \"BitSet\")"] 0.70 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"setdiff!\", \"BitSet\")"] 0.67 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff!\", \"big\")"] 1.25 (25%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] 1.19 (15%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"Base.LinAlg.UnitUpperTriangular\", 1024)"] 2.45 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] 2.45 (45%) ❌ 1.00 (1%)
["micro", "fib"] 1.17 (15%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967295\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 0.37 (15%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 0.83 (15%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"div\", \"Complex{BigFloat}\", \"UInt64\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"Complex{BigFloat}\", \"Int64\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"Complex{Int64}\", \"BigFloat\")"] 1.62 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Complex{Int64}\", \"BigInt\")"] 0.44 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Complex{UInt64}\", \"BigInt\")"] 0.46 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Complex{UInt64}\", \"Complex{BigInt}\")"] 0.46 (50%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"Complex{BigInt}\")"] 0.46 (50%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y finite\", \"y negative\", \"x infinite\", \"x negative\", \"Float64\")"] 1.41 (15%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"Complex{BigFloat}\")"] 1.42 (40%) ❌ 1.00 (1%)
["scalar", "predicate", "(\"iseven\", \"BigInt\")"] 0.44 (40%) ✅ 1.00 (1%)
["scalar", "predicate", "(\"isodd\", \"BigInt\")"] 0.46 (40%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 3π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.45 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\")"] 1.26 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float32\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"positive argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"integer\", 1000)"] 1.87 (30%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"range\", 10)"] 1.38 (30%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", \"Array{Union{Nothing, BigFloat},1}\")"] 0.78 (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"]
  • ["collection", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["micro"]
  • ["misc", "afoldl"]
  • ["misc", "bitshift"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["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", "acosh"]
  • ["scalar", "arithmetic"]
  • ["scalar", "asin"]
  • ["scalar", "asinh"]
  • ["scalar", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "atanh"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "sinh"]
  • ["scalar", "tan"]
  • ["scalar", "tanh"]
  • ["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"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 0.7.0-DEV.3444
Commit c4b21ca (2018-01-18 04:07 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  114600388 s          0 s   20151908 s  5040734120 s        100 s
       #2  3501 MHz  490165846 s          0 s   12688699 s  4684825341 s         24 s
       #3  3501 MHz   94742601 s          0 s   10804396 s  5082648015 s         84 s
       #4  3501 MHz   90654528 s          0 s   11005469 s  5086522691 s         21 s
       
  Memory: 31.383651733398438 GB (5255.74609375 MB free)
  Uptime: 5.1906426e7 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)