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Benchmark Report

Job Properties

Commit(s): haampie/julia@05c9c56a59070bcc484cd2bf600bae6c96049aa8 vs JuliaLang/julia@a23be084d30ccd947e54a6a90933dee016a2aedf

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", "(\"all\", \"Array{Float32,1} generator\")"] 0.63 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float32,1}\")"] 0.63 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1} generator\")"] 0.67 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1}\")"] 0.67 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int16,1} generator\")"] 0.71 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int16,1}\")"] 0.71 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int64,1} generator\")"] 0.84 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int64,1}\")"] 0.85 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Vector{Bool}\")"] 0.69 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1} generator\")"] 0.63 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1}\")"] 0.63 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float64,1} generator\")"] 0.66 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float64,1}\")"] 0.66 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1} generator\")"] 0.71 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1}\")"] 0.71 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int64,1} generator\")"] 0.84 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int64,1}\")"] 0.84 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Vector{Bool}\")"] 0.69 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1} == UnitRange{Int64}\")"] 0.80 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Vector{Bool}\")"] 0.78 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal UnitRange{Int64}\")"] 0.75 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Vector{Bool}\")"] 0.78 (15%) ✅ 1.00 (1%)
["array", "index", "(\"sumelt\", \"Array{Int32,2}\")"] 0.17 (50%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norm1\", \"Int64\")"] 0.84 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norminf\", \"Int64\")"] 0.23 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 0.23 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 0.19 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"LinearAlgebra.norm\", \"Int64\")"] 0.58 (15%) ✅ 1.00 (1%)
["collection", "deletion", "(\"Dict\", \"Any\", \"pop!\")"] 16.70 (25%) ❌ 1.00 (1%)
["collection", "deletion", "(\"Set\", \"Any\", \"pop!\")"] 17.00 (25%) ❌ 1.00 (1%)
["collection", "initialization", "(\"Dict\", \"Int\", \"iterator\")"] 0.65 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"first\")"] 1.67 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"pop!\", \"unspecified\")"] 12.32 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"String\", \"push!\", \"new\")"] 1.48 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"pop!\", \"unspecified\")"] 14.09 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"push!\", \"overwrite\")"] 1.30 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"in\", \"true\")"] 1.28 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"in\", \"false\")"] 0.71 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"in\", \"true\")"] 0.71 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union!\", \"big\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"⊆\", \"Vector\")"] 0.70 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"Set\", \"Int\", \"==\", \"self\")"] 1.59 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Vector\", \"Int\", \"⊆\", \"Vector\")"] 0.63 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"empty\", \"Int\", \"⊆\", \"Set\")"] 0.73 (25%) ✅ 1.00 (1%)
["dates", "query", "(\"daysofweekinmonth\", \"Date\")"] 1.26 (25%) ❌ 1.00 (1%)
["dates", "query", "(\"lastdayofmonth\", \"Date\")"] 1.33 (25%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 1.23 (15%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] 1.21 (15%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.15 (15%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Dict\")"] 0.70 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 1.30 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:18446744073709551615)\")"] 1.38 (25%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"BigInt\", \"Int64\")"] 1.62 (50%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"] 1.26 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 1.29 (15%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.60 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"negative argument\", \"Float32\")"] 0.62 (15%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"negative argument\", \"Float32\")"] 0.79 (15%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.21 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 1.20 (15%) ❌ 1.00 (1%)
["scalar", "predicate", "(\"isodd\", \"UInt64\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"negative argument\", \"Float64\")"] 0.84 (15%) ✅ 1.00 (1%)
["sort", "insertionsort", "(\"sort! forwards\", \"ascending\")"] 0.60 (30%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1"] 1.22 (15%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 0.83 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.79 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 0.83 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int64, true)"] 1.35 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.80 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Bool, false)"] 0.34 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int64, false)"] 0.17 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, false)"] 0.19 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, true)"] 1.59 (15%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", Bool, false)"] 0.83 (15%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["array", "accumulate"]
  • ["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", "findall"]
  • ["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", "cbrt"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "exp2"]
  • ["scalar", "expm1"]
  • ["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", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 0.7.0-beta.37
Commit 05c9c56 (2018-06-26 17:01 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   35416690 s        278 s    3711792 s  745863338 s          7 s
       #2  3501 MHz  162031262 s          0 s    2235800 s  622731743 s          4 s
       #3  3501 MHz   21741244 s       2377 s    1805520 s  763123580 s         11 s
       #4  3501 MHz   20318227 s          0 s    2082711 s  764412302 s          8 s
       
  Memory: 31.383651733398438 GB (6350.1171875 MB free)
  Uptime: 7.874664e6 sec
  Load Avg:  1.01123046875  1.01953125  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)

Comparison Build

Julia Version 0.7.0-beta.31
Commit a23be08 (2018-06-26 16:51 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   35541757 s        278 s    3723359 s  746667333 s          7 s
       #2  3501 MHz  162880731 s          0 s    2247088 s  622814978 s          4 s
       #3  3501 MHz   21873083 s       2377 s    1814356 s  763926582 s         11 s
       #4  3501 MHz   20437916 s          0 s    2091773 s  765227330 s          8 s
       
  Memory: 31.383651733398438 GB (5510.08203125 MB free)
  Uptime: 7.88411e6 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)