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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@e2de9b3d2e54d3d2d0ed6e799842bc9cfb7fea4a

Triggered By: link

Tag Predicate: ALL

Daily Job: 2018-06-28 vs 2018-06-27

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}\")"] 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{Int16,1} generator\")"] 0.70 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Int16,1}\")"] 0.70 (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}\")"] 0.84 (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}\")"] 0.66 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1} generator\")"] 0.75 (15%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Array{Int16,1}\")"] 0.75 (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\", \"UnitRange{Int64}\")"] 1.49 (15%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"Vector{Bool}\")"] 0.75 (15%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.84 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float64,1}\")"] 0.82 (15%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1} == UnitRange{Int64}\")"] 0.75 (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", "index", "(\"sumelt\", \"Array{Int32,2}\")"] 0.17 (50%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norm1\", \"Int64\")"] 0.85 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.norminf\", \"Int64\")"] 0.24 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 0.18 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 0.18 (15%) ✅ 1.00 (1%)
["array", "reductions", "(\"LinearAlgebra.norm\", \"Int64\")"] 0.58 (15%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup\")"] 0.83 (15%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"in\", \"false\")"] 0.70 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"in\", \"true\")"] 0.71 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"intersect\", \"Vector\")"] 1.36 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"Vector\", \"Int\", \"⊆\", \"Vector\")"] 0.67 (25%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] 0.85 (15%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 0.79 (15%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] 0.41 (45%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Vector\")"] 0.55 (25%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Dict\")"] 0.72 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.38 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randn\", \"RandomDevice\", \"Float64\")"] 1.33 (25%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.69 (15%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] 0.85 (15%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.26 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"negative argument\", \"Float32\")"] 1.18 (15%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"positive argument\", \"Float32\")"] 0.82 (15%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 0.75 (15%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"zero\", \"Float32\")"] 1.20 (15%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"BigInt\")"] 1.45 (40%) ❌ 1.00 (1%)
["scalar", "intfuncs", "(\"nextpow2\", \"UInt64\", \"-\")"] 0.71 (25%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\")"] 0.80 (15%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 1.26 (15%) ❌ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int32\", 4095)"] 1.44 (20%) ❌ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4095)"] 1.72 (20%) ❌ 1.00 (1%)
["simd", "(\"conditional_loop!_aliased\", \"Int64\", 4096)"] 1.32 (20%) ❌ 1.00 (1%)
["simd", "(\"sum_reduce\", \"Int32\", 4095)"] 1.21 (20%) ❌ 1.00 (1%)
["simd", "(\"sum_reduce\", \"Int32\", 4096)"] 1.21 (20%) ❌ 1.00 (1%)
["sort", "insertionsort", "(\"sort forwards\", \"ascending\")"] 0.63 (30%) ✅ 1.00 (1%)
["sort", "insertionsort", "(\"sort! forwards\", \"ascending\")"] 0.62 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"array\", 1000)"] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"logical\", 1000)"] 0.56 (30%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B!\", \"dense 40x4000, sparse 40x40 -> dense 4000x40\")"] 0.59 (30%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, false))"] 0.84 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.81 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.83 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 0.81 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.77 (15%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 0.81 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 1.20 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 0.77 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.82 (15%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.67 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.31 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, false)"] 1.20 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.18 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.21 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.21 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.25 (15%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 0.69 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Bool, false)"] 0.33 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Bool, true)"] 1.17 (15%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int64, false)"] 0.17 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, false)"] 0.20 (15%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Int8, true)"] 1.71 (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.65
Commit e2de9b3 (2018-06-28 03:45 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   36545810 s        278 s    3809928 s  757020774 s          7 s
       #2  3501 MHz  167116280 s          0 s    2330967 s  629954388 s          4 s
       #3  3501 MHz   22891323 s       2377 s    1889453 s  774295959 s         12 s
       #4  3501 MHz   21408138 s          0 s    2173821 s  775630411 s          8 s
       
  Memory: 31.383651733398438 GB (3901.9296875 MB free)
  Uptime: 7.998845e6 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)