Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@eca9dfb39302a8dfd2324c62681510e28149674f vs JuliaLang/julia@2723d745c484b07f604ebce1acdf656e52acfb98

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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", "comprehension", "(\"collect\", \"Array{Float64,1}\")"]`	0.63 (15%) ✅	1.00 (1%)
`["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"]`	0.74 (15%) ✅	1.00 (1%)
`["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"]`	0.66 (15%) ✅	1.00 (1%)
`["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"]`	0.75 (15%) ✅	1.00 (1%)
`["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"]`	0.83 (15%) ✅	1.00 (1%)
`["array", "growth", "(\"prerend!\", 2048)"]`	0.84 (15%) ✅	1.00 (1%)
`["array", "growth", "(\"push_multiple!\", 8)"]`	0.84 (15%) ✅	1.00 (1%)
`["array", "index", "(\"sumrange_view\", \"1:100000\")"]`	1.56 (50%) ❌	1.00 (1%)
`["array", "subarray", "(\"lucompletepivCopy!\", 1000)"]`	0.83 (15%) ✅	1.00 (1%)
`["array", "subarray", "(\"lucompletepivCopy!\", 250)"]`	0.85 (15%) ✅	1.00 (1%)
`["array", "subarray", "(\"lucompletepivCopy!\", 500)"]`	0.84 (15%) ✅	1.00 (1%)
`["broadcast", "mix_scalar_tuple", "(3, \"scal_tup\")"]`	1.20 (15%) ❌	1.00 (1%)
`["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"]`	1.17 (15%) ❌	1.00 (1%)
`["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"]`	1.20 (15%) ❌	1.00 (1%)
`["broadcast", "sparse", "((1000, 1000), 2)"]`	1.17 (15%) ❌	1.00 (1%)
`["broadcast", "typeargs", "(\"array\", 10)"]`	1.09 (15%)	1.10 (1%) ❌
`["broadcast", "typeargs", "(\"array\", 3)"]`	1.02 (15%)	1.14 (1%) ❌
`["broadcast", "typeargs", "(\"array\", 5)"]`	1.06 (15%)	1.13 (1%) ❌
`["broadcast", "typeargs", "(\"tuple\", 10)"]`	1.31 (15%) ❌	Inf (1%) ❌
`["collection", "iteration", "(\"Set\", \"Any\", \"start\")"]`	0.74 (25%) ✅	1.00 (1%)
`["dates", "accessor", "year"]`	0.85 (15%) ✅	1.00 (1%)
`["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"]`	1.26 (15%) ❌	1.00 (1%)
`["find", "findprev", "(\"ispos\", \"Array{Int64,1}\")"]`	1.20 (15%) ❌	1.00 (1%)
`["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"]`	1.24 (15%) ❌	1.00 (1%)
`["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"]`	0.41 (45%) ✅	1.00 (1%)
`["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"]`	0.41 (45%) ✅	1.00 (1%)
`["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"]`	0.83 (15%) ✅	1.00 (1%)
`["problem", "laplacian", "laplace_iter_sub"]`	0.84 (15%) ✅	1.00 (1%)
`["problem", "laplacian", "laplace_iter_vec"]`	0.83 (15%) ✅	1.00 (1%)
`["problem", "ziggurat", "ziggurat"]`	0.82 (15%) ✅	1.00 (1%)
`["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:4294967295\")"]`	1.31 (25%) ❌	1.00 (1%)
`["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:1\")"]`	0.73 (25%) ✅	1.00 (1%)
`["random", "ranges", "(\"RangeGenerator\", \"Int128\", \"1:4294967295\")"]`	0.74 (25%) ✅	1.00 (1%)
`["random", "types", "(\"randexp\", \"RandomDevice\", \"Float64\")"]`	0.74 (25%) ✅	1.00 (1%)
`["scalar", "acos", "(\"one\", \"positive argument\", \"Float64\")"]`	0.48 (15%) ✅	1.00 (1%)
`["scalar", "arithmetic", "(\"add\", \"BigInt\", \"UInt64\")"]`	1.62 (50%) ❌	1.00 (1%)
`["scalar", "arithmetic", "(\"add\", \"Float32\", \"BigFloat\")"]`	1.53 (50%) ❌	1.00 (1%)
`["scalar", "arithmetic", "(\"add\", \"UInt64\", \"BigInt\")"]`	0.49 (50%) ✅	1.00 (1%)
`["scalar", "arithmetic", "(\"mul\", \"BigInt\", \"UInt64\")"]`	1.62 (50%) ❌	1.00 (1%)
`["scalar", "arithmetic", "(\"mul\", \"Complex{BigInt}\", \"Complex{BigInt}\")"]`	0.45 (50%) ✅	1.00 (1%)
`["scalar", "arithmetic", "(\"sub\", \"BigInt\", \"Int64\")"]`	1.55 (50%) ❌	1.00 (1%)
`["scalar", "arithmetic", "(\"sub\", \"Complex{BigInt}\", \"UInt64\")"]`	1.57 (50%) ❌	1.00 (1%)
`["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"]`	1.85 (50%) ❌	1.00 (1%)
`["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float64\")"]`	1.22 (15%) ❌	1.00 (1%)
`["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"]`	0.79 (15%) ✅	1.00 (1%)
`["scalar", "atan2", "(\"x zero\", \"y negative\", \"Float32\")"]`	0.57 (15%) ✅	1.00 (1%)
`["scalar", "atan2", "(\"y infinite\", \"y positive\", \"x infinite\", \"x negative\", \"Float64\")"]`	1.39 (15%) ❌	1.00 (1%)
`["scalar", "atan2", "(\"y zero\", \"y positive\", \"x negative\", \"Float32\")"]`	1.25 (15%) ❌	1.00 (1%)
`["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"]`	0.80 (15%) ✅	1.00 (1%)
`["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"positive argument\", \"Float32\")"]`	0.80 (15%) ✅	1.00 (1%)
`["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"negative argument\", \"Float32\")"]`	1.59 (15%) ❌	1.00 (1%)
`["scalar", "cosh", "(\"zero\", \"Float32\")"]`	0.75 (15%) ✅	1.00 (1%)
`["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"]`	1.38 (15%) ❌	1.00 (1%)
`["scalar", "expm1", "(\"huge\", \"positive argument\", \"Float64\")"]`	1.19 (15%) ❌	1.00 (1%)
`["scalar", "expm1", "(\"large\", \"negative argument\", \"Float64\")"]`	1.19 (15%) ❌	1.00 (1%)
`["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float64\")"]`	1.33 (15%) ❌	1.00 (1%)
`["scalar", "fastmath", "(\"add\", \"BigInt\")"]`	1.45 (40%) ❌	1.00 (1%)
`["scalar", "fastmath", "(\"mul\", \"Complex{BigInt}\")"]`	0.55 (40%) ✅	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) < 4π/4\", \"negative argument\", \"Float64\")"]`	0.82 (15%) ✅	1.00 (1%)
`["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"]`	1.18 (15%) ❌	1.00 (1%)
`["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 7π/4\", \"negative argument\", \"Float64\")"]`	0.82 (15%) ✅	1.00 (1%)
`["tuple", "linear algebra", "(\"matmat\", (2, 2), (2, 2))"]`	1.22 (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", "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.4651
Commit eca9dfb (2018-03-20 17:58 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  123193622 s          0 s   21792750 s  5560700596 s        106 s
       #2  3501 MHz  545282480 s          0 s   13577334 s  5160625348 s         26 s
       #3  3501 MHz  101034772 s          0 s   11551606 s  5607467675 s         90 s
       #4  3501 MHz   96650030 s          0 s   11738618 s  5611659303 s         24 s
       
  Memory: 31.383651733398438 GB (5657.73828125 MB free)
  Uptime: 5.7227309e7 sec
  Load Avg:  0.9736328125  1.00048828125  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)

Comparison Build

Julia Version 0.7.0-DEV.4647
Commit 2723d74 (2018-03-20 17:46 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  123283660 s          0 s   21803021 s  5561525927 s        107 s
       #2  3501 MHz  546156146 s          0 s   13587316 s  5160670046 s         27 s
       #3  3501 MHz  101121314 s          0 s   11559252 s  5608301924 s         90 s
       #4  3501 MHz   96734467 s          0 s   11746437 s  5612495534 s         24 s
       
  Memory: 31.383651733398438 GB (4942.171875 MB free)
  Uptime: 5.72366e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-3.9.1 (ORCJIT, haswell)

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