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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@00f1a7a51aad4b8ebe2502a91bd2f0a26ba4f219 vs JuliaLang/julia@8ca6e8d25fbb25cc8d72055f5dcfd61b4a758220

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\")"] 1.58 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"all\", \"Array{Float32,1}\")"] 0.63 (5%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"BitArray\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "cat", "4467"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 1.16 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal UnitRange{Int64}\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 256)"] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 256)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "index", "3d"] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000000,), 1)"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", "((1000, 1000), 1)"] 1.14 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"BitArray{1}\", \"10-90\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 0.87 (5%) ✅ 0.91 (1%) ✅
["linalg", "arithmetic", "(\"+\", \"Matrix\", \"Matrix\", 256)"] 0.43 (45%) ✅ 1.00 (1%)
["linalg", "factorization", "(\"eigen\", \"Diagonal\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["misc", "afoldl", "Int"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.48 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 1024)"] 1.06 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 2)"] 1.07 (5%) ❌ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 64)"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_devec"] 1.09 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 0.73 (25%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"2 <= abs(x) < 2^28\", \"positive argument\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"BigInt\", \"UInt64\")"] 1.68 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Int64\", \"BigInt\")"] 1.64 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"Complex{BigInt}\")"] 1.65 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Int64\", \"BigInt\")"] 0.52 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"UInt64\", \"BigInt\")"] 1.54 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.70 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.29 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"positive argument\", \"Float32\")"] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"huge\", \"positive argument\", \"Float3\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"huge\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"mul\", \"BigInt\")"] 1.60 (40%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"negative argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["shootout", "fannkuch"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1000"] 1.13 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 50000"] 1.14 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.69 (5%) ❌ 1.00 (1%)
["string", "replace"] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (true, true))"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, true)"] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, false)"] 2.53 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (true, true))"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (false, false))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (false, true))"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (true, true))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, false)"] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.47 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 1.37 (5%) ❌ 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"]
  • ["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", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["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", "sparse matvec"]
  • ["sparse", "sparse solves"]
  • ["sparse", "transpose"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.6.0-DEV.246
Commit 00f1a7a (2020-06-17 20:09 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 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  145285376 s       5056 s   16427441 s  6849576907 s         35 s
       #2  3501 MHz  1097292238 s        217 s   21874789 s  5902313653 s         27 s
       #3  3501 MHz  130258823 s       3312 s    9766155 s  6881205019 s         38 s
       #4  3501 MHz  122304139 s         43 s   14043786 s  6882959783 s         28 s
       
  Memory: 31.383651733398438 GB (18955.98828125 MB free)
  Uptime: 7.0270608e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.6.0-DEV.244
Commit 8ca6e8d (2020-06-17 19:41 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 14.04.5 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  145454781 s       5056 s   16437137 s  6850751539 s         35 s
       #2  3501 MHz  1098534112 s        217 s   21902010 s  5902402610 s         27 s
       #3  3501 MHz  130403106 s       3312 s    9772622 s  6882412075 s         38 s
       #4  3501 MHz  122456323 s         43 s   14049864 s  6884158670 s         28 s
       
  Memory: 31.383651733398438 GB (18519.98046875 MB free)
  Uptime: 7.0284192e7 sec
  Load Avg:  0.95263671875  1.00927734375  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)