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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@3fd5790e88bb85ed8a10209309836fc2fecdde67 vs JuliaLang/julia@b8e9a9ecc62ab49003bd4f1834771bdeb8cb1aa2

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", "(\"accumulate\", \"Int\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 2048)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 2048)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_single!\", 256)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "index", "3d"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"mean\", \"Int64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"perf_mapreduce\", \"Int64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 2)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 5)"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.72 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 10)"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 0.94 (5%) ✅ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"Any\", \"iterate\")"] 1.38 (25%) ❌ 1.00 (1%)
["collection", "iteration", "(\"Set\", \"Int\", \"iterate\")"] 1.47 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"false\")"] 1.27 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"pop!\", \"specified\")"] 1.33 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"push!\", \"overwrite\")"] 1.31 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"first\")"] 1.35 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 1.15 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.04 (5%) 1.04 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.05 (5%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"*\", \"Bidiagonal\", \"Vector\", 1024)"] 1.57 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 0.46 (45%) ✅ 1.00 (1%)
["micro", "fib"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "imdb", "centrality"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 0.90 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.05 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large String\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small String\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.39 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randexp!\", \"ImplicitRNG\", \"Float64\")"] 0.57 (25%) ✅ 1.00 (1%)
["random", "types", "(\"randexp!\", \"MersenneTwister\", \"Float32\")"] 0.65 (25%) ✅ 1.00 (1%)
["random", "types", "(\"randexp!\", \"MersenneTwister\", \"Float64\")"] 0.61 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"negative argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 1.69 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"UInt64\", \"BigInt\")"] 0.53 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Float64\", \"BigFloat\")"] 1.54 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (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", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y negative\", \"x positive\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float64\")"] 0.72 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x positive\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 4π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.19 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"2.7755602085408512e-17 <= abs(x) < 22.0\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"2.7755602085408512e-17 <= abs(x) < 22.0\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (easy) abs(x) < 4π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"22.0 <= abs(x) < 709.7822265633563\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 10)"] 0.94 (5%) ✅ 1.00 (1%)
["string", "findfirst", "Char"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.59 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (false, true))"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, false))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Bool, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int64, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int8, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, true))"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, true)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, false)"] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigInt, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Nothing, BigFloat}, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigFloat, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Bool}, false)"] 0.63 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, Int8}, false)"] 1.59 (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
Commit 3fd5790 (2020-04-10 10:01 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  132412616 s       5056 s   15185756 s  6273787453 s         35 s
       #2  3501 MHz  993257869 s        217 s   19320886 s  5418619711 s         26 s
       #3  3501 MHz  117054908 s       3288 s    9025678 s  6304685128 s         37 s
       #4  3501 MHz  109878065 s         43 s   12976194 s  6305891165 s         26 s
       
  Memory: 31.383651733398438 GB (18768.15234375 MB free)
  Uptime: 6.4359135e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-8.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.4.0
Commit b8e9a9e (2020-03-21 16:36 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  132549049 s       5056 s   15194931 s  6275023956 s         35 s
       #2  3501 MHz  994537172 s        217 s   19346891 s  5418700979 s         26 s
       #3  3501 MHz  117185954 s       3288 s    9031145 s  6305933539 s         37 s
       #4  3501 MHz  110004141 s         43 s   12981634 s  6307146131 s         26 s
       
  Memory: 31.383651733398438 GB (18328.03515625 MB free)
  Uptime: 6.4373004e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-8.0.1 (ORCJIT, haswell)