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Benchmark Report

Job Properties

Commit(s): jakobnissen/julia@ed75ff2fa6d7593b8ef48bf74fcb3f057ad89019 vs JuliaLang/julia@2d4f4d26a0c5a74717d826dc7e1e62f7650a2e9d

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", "accumulate", "(\"cumsum!\", \"Float64\", \"dim1\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 0.87 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hvcat_setind\", 5)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 2048)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.90 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 5)"] 0.57 (5%) ✅ 1.00 (1%)
["broadcast", "26942"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000000,), 1)"] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 1.08 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"tup_tup\")"] 1.05 (5%) ❌ 1.00 (1%)
["collection", "deletion", "(\"Dict\", \"Int\", \"filter!\")"] 1.50 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"first\")"] 1.29 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 0.94 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"ISODateTimeFormat\")"] 1.36 (5%) ❌ 1.00 (1%)
["dates", "query", "(\"daysofweekinmonth\", \"Date\")"] 1.33 (25%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 0.95 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.03 (5%) 1.04 (1%) ❌
["io", "serialization", "(\"deserialize\", \"Matrix{Float64}\")"] 0.95 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["linalg", "factorization", "(\"eigen\", \"Diagonal\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "18129"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 0.85 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.94 (5%) ✅ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"Complex{Float32}\")"] 1.28 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 0.52 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 0.58 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"UInt64\", \"BigInt\")"] 1.51 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"negative argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.29 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x negative\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"y zero\", \"y positive\", \"x positive\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"no reduction\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 5π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 9π/4\", \"negative argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2f-12\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.68 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"0 <= abs(x) < 2.0^-28\", \"positive argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 10)"] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 1000)"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 100)"] 1.13 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 1.06 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.71 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, false))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Bool, (true, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int8, (true, true))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigInt\")"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigInt, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigInt, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 1.43 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigInt, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Complex{Float64}, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigInt, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, BigInt}, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", BigInt, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, BigInt}, false)"] 0.93 (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 1.4.0-DEV.110
Commit ed75ff2 (2019-09-10 00:29 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   51366099 s       2440 s   14179776 s  4518363124 s         15 s
       #2  3501 MHz  310502475 s         36 s    5860616 s  4279046857 s         21 s
       #3  3501 MHz   42406487 s       3190 s    5045019 s  4548011353 s         34 s
       #4  3501 MHz   40912689 s         16 s    3831384 s  4552497130 s         30 s
       
  Memory: 31.383651733398438 GB (14867.1640625 MB free)
  Uptime: 4.5986763e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.4.0-DEV.108
Commit 2d4f4d2 (2019-09-09 22:10 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   51470225 s       2440 s   14188511 s  4519587699 s         15 s
       #2  3501 MHz  311761400 s         36 s    5885475 s  4279105119 s         21 s
       #3  3501 MHz   42520215 s       3190 s    5049955 s  4549234103 s         34 s
       #4  3501 MHz   41004709 s         16 s    3835752 s  4553742715 s         30 s
       
  Memory: 31.383651733398438 GB (14562.59765625 MB free)
  Uptime: 4.6000186e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)