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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@d36a5d5d71d466026289f84beb8b01d1f5ffa3cc vs JuliaLang/julia@8604233664ddb696186bb8816fb80f603c940671

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", "comprehension", "(\"collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 1.10 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 1.10 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 1.13 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"append!\", 2048)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"prerend!\", 256)"] 0.91 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"Statistics.mean\", \"Float64\")"] 0.95 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sum\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs2\", \"Float64\")"] 0.89 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 1)"] 0.92 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 2)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 5)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 1.15 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"tup_tup\")"] 1.11 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 3)"] 1.05 (5%) ❌ 1.00 (1%)
["collection", "iteration", "(\"BitSet\", \"Int\", \"iterate\")"] 0.54 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"pop!\", \"unspecified\")"] 0.61 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"push!\", \"new\")"] 0.56 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Int\", \"setindex!\", \"new\")"] 0.60 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Vector\", \"Any\", \"getindex\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff!\", \"big\")"] 1.45 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union!\", \"big\")"] 1.37 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"ISODateTimeFormat\")"] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", "(\"BitArray{1}\", \"50-50\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float32,1}\")"] 0.86 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Float64,1}\")"] 0.89 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] 1.13 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 1.14 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.11 (5%) ❌ 1.10 (1%) ❌
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.13 (5%) ❌ 1.00 (1%)
["io", "read", "readstring"] 1.13 (5%) ❌ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Matrix{Float64}\")"] 0.88 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"NPDUpperTriangular\", 1024)"] 1.61 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UnitUpperTriangular\", 1024)"] 2.45 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", "(\"sqrt\", \"UpperTriangular\", 1024)"] 2.47 (45%) ❌ 1.00 (1%)
["misc", "20517"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 0.86 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "go", "go_game"] 1.14 (5%) ❌ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.11 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Dict\")"] 1.38 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"small Set\")"] 1.28 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:170141183460469231731687303715884105728\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 0.73 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"UInt64\", \"Complex{BigInt}\")"] 1.58 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"BigInt\", \"Int64\")"] 1.51 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"BigInt\")"] 2.27 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y negative\", \"x positive\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x positive\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.35 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float64\")"] 1.20 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"9f0 <= abs(x) < 88.72283f0\", \"positive argument\", \"Float32\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"positive argument\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"negative argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"positive argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.83 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 1.07 (5%) ❌ 1.00 (1%)
["shootout", "pidigits"] 1.09 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 10)"] 1.18 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 1000)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "index", "(\"spvec\", \"integer\", 100000)"] 1.35 (30%) ❌ 1.00 (1%)
["sparse", "sparse solves", "least squares (default), matrix rhs"] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "least squares (default), vector rhs"] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "least squares (qr), matrix rhs"] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "least squares (qr), vector rhs"] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "transpose", "(\"adjoint!\", (20000, 10000))"] 1.39 (30%) ❌ 1.00 (1%)
["sparse", "transpose", "(\"adjoint!\", (20000, 20000))"] 1.63 (30%) ❌ 1.00 (1%)
["sparse", "transpose", "(\"transpose!\", (20000, 20000))"] 1.50 (30%) ❌ 1.00 (1%)
["string", "join"] 1.53 (40%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (16, 16), (16, 16))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 0.86 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Int64, false)"] 4.66 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Bool, (false, true))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Bool, false)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Nothing, BigInt}, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Missing, BigFloat}, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Int8}, false)"] 1.13 (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 1.2.0-DEV.46
Commit d36a5d5 (2018-12-20 17:21 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   41771261 s       2418 s    7472524 s  2260878644 s         11 s
       #2  3501 MHz  231845564 s         14 s    4122084 s  2079422441 s         18 s
       #3  3501 MHz   32836154 s       3141 s    3771585 s  2278626373 s         26 s
       #4  3501 MHz   31569036 s         11 s    2918136 s  2281827737 s         22 s
       
  Memory: 31.383651733398438 GB (4934.06640625 MB free)
  Uptime: 2.3172887e7 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 1.2.0-DEV.44
Commit 8604233 (2018-12-20 16:55 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   41885904 s       2418 s    7483430 s  2262021210 s         11 s
       #2  3501 MHz  233035312 s         14 s    4137928 s  2079489193 s         18 s
       #3  3501 MHz   32959621 s       3141 s    3778782 s  2279767880 s         26 s
       #4  3501 MHz   31686541 s         11 s    2925128 s  2282975660 s         22 s
       
  Memory: 31.383651733398438 GB (5608.828125 MB free)
  Uptime: 2.3185617e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)