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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@9267bbf1fcd783278d820efa7e02e9357f962cc6

Triggered By: link

Tag Predicate: ALL

Daily Job: 2020-07-28 vs 2020-07-27

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", "accumulate", "(\"cumsum!\", \"Int\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "any/all", "(\"all\", \"BitArray\")"] 0.92 (5%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"BitArray\")"] 1.10 (5%) ❌ 1.00 (1%)
["array", "any/all", "(\"any\", \"UnitRange{Int64}\")"] 0.67 (5%) ✅ 1.00 (1%)
["array", "any/all", "(\"any\", \"Vector{Float64} generator\")"] 1.52 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hcat\", 5)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Vector{Int64} isequal Vector{Int64}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_single!\", 256)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "index", "(\"sumcartesian_view\", \"SubArray{Int32,2,Base.ReshapedArray{Int32,2,SubArray{Int32,3,Array{Int32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},true}\")"] 1.59 (50%) ❌ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"push!\", \"new\")"] 1.38 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"String\", \"pop!\", \"unspecified\")"] 1.70 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"Vector{Bool}\", \"50-50\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Vector{Float32}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Vector{Int8}\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Vector{UInt64}\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Vector{Int64}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Vector{Int8}\")"] 1.12 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Matrix{Float64}(10000, 10000)\")"] 1.06 (5%) ❌ 1.00 (1%)
["io", "read", "readstring"] 0.93 (5%) ✅ 1.00 (1%)
["linalg", "factorization", "(\"eigen\", \"typename(Diagonal)\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 1.05 (5%) ❌ 1.00 (1%)
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.79 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 24, 1)"] 0.93 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Dict\")"] 1.41 (25%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 0.58 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Complex{BigInt}\", \"BigInt\")"] 1.78 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0.00024414062f0 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 6π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 8π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float32\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 1000)"] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 10)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"SymTridiagonal\", 10)"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"range\", 1000)"] 1.30 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B!\", \"sparse 40x400, dense 40x400 -> dense 400x400\")"] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), matrix rhs"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "sparse solves", "square system (lu), vector rhs"] 0.95 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (8, 8), (8, 8))"] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4, 4))"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 0.85 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, ComplexF64, (false, true))"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, ComplexF64, (true, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float64, (false, false))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, ComplexF64, false)"] 1.65 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, ComplexF64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, BigInt, (false, true))"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", ComplexF64, true)"] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigInt, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.67 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Int64}, false)"] 1.11 (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.548
Commit 9267bbf (2020-07-27 16:57 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  152111233 s       5060 s   17073600 s  7189764152 s         38 s
       #2  3501 MHz  1152728810 s        217 s   23179445 s  6193705696 s         28 s
       #3  3501 MHz  137458362 s       3324 s   10183383 s  7221200552 s         39 s
       #4  3501 MHz  128725102 s         43 s   14718956 s  7223716066 s         28 s
       
  Memory: 31.383651733398438 GB (18460.8515625 MB free)
  Uptime: 7.3753671e7 sec
  Load Avg:  1.27294921875  1.07568359375  1.0615234375
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)