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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@3290a435657e372c1ead77a16d8c8b83018285b3 vs JuliaLang/julia@1d53232f7de0c28d132ae0b79171cf32a7f948c0

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\")"] 1.50 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float32,1}\")"] 1.50 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1} generator\")"] 1.51 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float64,1}\")"] 1.52 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int16,1} generator\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int16,1}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int64,1} generator\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int64,1}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Vector{Bool}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1} generator\")"] 1.50 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float32,1}\")"] 1.50 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float64,1} generator\")"] 1.38 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Float64,1}\")"] 1.52 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1} generator\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int64,1} generator\")"] 1.50 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int64,1}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Vector{Bool}\")"] 1.33 (15%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.79 (15%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.82 (15%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.79 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Float32,1}\")"] 0.77 (15%) ✅ 1.00 (1%)
["array", "index", "(\"sumelt\", \"Array{Int32,2}\")"] 6.04 (50%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norm1\", \"Int64\")"] 1.17 (15%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norminf\", \"Int64\")"] 1.31 (15%) ❌ 1.00 (1%)
["array", "reductions", "(\"LinearAlgebra.norm\", \"Int64\")"] 1.15 (15%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 3)"] 2.05 (15%) ❌ 1.00 (1%)
["collection", "deletion", "(\"Vector\", \"Any\", \"filter!\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"in\", \"false\")"] 1.61 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Vector\", \"Int\", \"⊆\", \"Vector\")"] 1.37 (25%) ❌ 1.00 (1%)
["dates", "query", "(\"dayofweek\", \"DateTime\")"] 1.56 (25%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.76 (15%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 0.85 (15%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"'a':'z'\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:4294967295\")"] 0.73 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"ImplicitRNG\", \"Int\", \"1:1000\")"] 0.69 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"UInt128\", \"RangeGenerator(1:4294967297)\")"] 1.31 (25%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Complex{BigInt}\", \"Int64\")"] 1.56 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Complex{BigInt}\", \"UInt64\")"] 1.59 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"Complex{Float32}\", \"Complex{Float32}\")"] 0.70 (25%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Complex{BigInt}\", \"UInt64\")"] 1.58 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 1.22 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.38 (15%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"y infinite\", \"y positive\", \"x finite\", \"x negative\", \"Float64\")"] 1.41 (15%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.79 (15%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.18 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.17 (15%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\")"] 1.21 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float32\")"] 1.25 (15%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float32\")"] 1.16 (15%) ❌ 1.00 (1%)
["sort", "issorted", "(\"forwards\", \"ascending\")"] 1.43 (30%) ❌ 1.00 (1%)
["sort", "issorted", "(\"reverse\", \"descending\")"] 1.39 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B!\", \"dense 40x4000, sparse 40x40 -> dense 4000x40\")"] 1.47 (30%) ❌ 1.00 (1%)
["string", "findfirst", "String"] 0.71 (15%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4,))"] 0.82 (15%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.21 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigFloat, false)"] 1.17 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigFloat, true)"] 1.16 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigInt, false)"] 1.16 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", BigInt, true)"] 1.15 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", Bool, true)"] 1.19 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countnothing\", Int8, true)"] 1.16 (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-DEV.5079
Commit 3290a43 (2018-05-11 21:59 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    5449954 s        248 s    1013496 s  384289060 s          4 s
       #2  3501 MHz   36122416 s          0 s     617984 s  354266981 s          3 s
       #3  3501 MHz    4683258 s       2385 s     715580 s  385823099 s          6 s
       #4  3501 MHz    4636338 s          2 s     495408 s  386336441 s          1 s
       
  Memory: 31.383651733398438 GB (8311.35546875 MB free)
  Uptime: 3.916542e6 sec
  Load Avg:  0.97412109375  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)

Comparison Build

Julia Version 0.7.0-DEV.5077
Commit 1d53232 (2018-05-11 20:37 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    5571880 s        248 s    1024309 s  385097875 s          4 s
       #2  3501 MHz   36980821 s          0 s     628852 s  354342090 s          3 s
       #3  3501 MHz    4798112 s       2385 s     724085 s  386643741 s          6 s
       #4  3501 MHz    4769004 s          2 s     503816 s  387139160 s          1 s
       
  Memory: 31.383651733398438 GB (7987.39453125 MB free)
  Uptime: 3.925991e6 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)