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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@8ce701c88026831e2cc265d23815332bf296e822 vs JuliaLang/julia@86ee57cdd77d402ea63108c16df7117d0ce83dc7

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\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"catnd\", 5)"] 0.85 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hcat\", 5)"] 1.13 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hvcat\", 5)"] 1.20 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hvcat_setind\", 5)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.53 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.75 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.57 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.75 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.85 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "convert", "(\"Complex{Float64}\", \"Int\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 8)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 8)"] 0.92 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 0.89 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"perf_reduce\", \"Int64\")"] 1.13 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"gramschmidt!\", 100)"] 1.14 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"gramschmidt!\", 1000)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"gramschmidt!\", 250)"] 1.20 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"gramschmidt!\", 500)"] 1.39 (5%) ❌ 1.00 (1%)
["broadcast", "26942"] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000000,), 1)"] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 1.13 (5%) ❌ 1.00 (1%)
["broadcast", "sparse", "((1000, 1000), 2)"] 0.94 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"first\")"] 1.35 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"IdDict\", \"Int\", \"first\")"] 1.26 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"in\", \"true\")"] 1.30 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"pop!\", \"unspecified\")"] 1.83 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"in\", \"true\")"] 0.71 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Int\", \"setindex!\")"] 0.44 (25%) ✅ 1.00 (1%)
["dates", "parse", "Date"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"10-90\")"] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"50-50\")"] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"Array{Bool,1}\", \"90-10\")"] 0.86 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"10-90\")"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 1.06 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 0.99 (5%) 1.04 (1%) ❌
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 2.29 (45%) ❌ 1.00 (1%)
["linalg", "factorization", "(\"eigen\", \"Diagonal\", 256)"] 2.15 (45%) ❌ 1.00 (1%)
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Int"] 0.86 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt\", \"UInt\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.44 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 1.12 (5%) ❌ 1.00 (1%)
["misc", "repeat", "(200, 1, 24)"] 0.94 (5%) ✅ 1.00 (1%)
["parallel", "remotecall", "(\"identity\", 2)"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "go", "go_game"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_devec"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "seismic", "(\"seismic\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["random", "types", "(\"randn\", \"MersenneTwister\", \"Complex{Float32}\")"] 1.71 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"negative argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"2 <= abs(x) < 2^28\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Complex{BigInt}\", \"BigInt\")"] 1.70 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 0.50 (40%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 0.59 (40%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"0 <= abs(x) < 2^-28\", \"positive argument\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float32\")"] 1.24 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.47 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.30 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"negative argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"small\", \"positive argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"huge\", \"positive argument\", \"Float3\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 2π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 2π/4\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 5π/4\", \"positive argument\", \"Float32\")"] 1.15 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["shootout", "nbody"] 1.00 (5%) 1.11 (1%) ❌
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 1.10 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 100)"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 10)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 1000)"] 1.10 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 0.85 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.59 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 0.85 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float64, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float32, (false, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Float32, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, false)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (true, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"BigInt\")"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, false)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.37 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Bool, true)"] 0.73 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 1.42 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, BigFloat, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, BigInt, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.74 (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 1.5.0-DEV.697
Commit 8ce701c (2020-04-25 22:11 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  135391404 s       5056 s   15495968 s  6409688000 s         35 s
       #2  3501 MHz  1018581907 s        217 s   19957708 s  5532062047 s         26 s
       #3  3501 MHz  120140687 s       3296 s    9183004 s  6440484605 s         38 s
       #4  3501 MHz  112816936 s         43 s   13217028 s  6442084077 s         27 s
       
  Memory: 31.383651733398438 GB (18946.19921875 MB free)
  Uptime: 6.5754071e7 sec
  Load Avg:  1.00634765625  1.01611328125  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.5.0-DEV.689
Commit 86ee57c (2020-04-25 20:17 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  135539670 s       5056 s   15505806 s  6410914341 s         35 s
       #2  3501 MHz  1019857006 s        217 s   19984756 s  5532148680 s         26 s
       #3  3501 MHz  120288480 s       3296 s    9189277 s  6441717772 s         38 s
       #4  3501 MHz  112978905 s         43 s   13223118 s  6443304797 s         27 s
       
  Memory: 31.383651733398438 GB (18914.140625 MB free)
  Uptime: 6.5767963e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-9.0.1 (ORCJIT, haswell)