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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@038c2176a4a427799f5319a1aae81a095755dfe1 vs JuliaLang/julia@341587592daccd144f5653c86cc1e362fe209838

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", "bool", "boolarray_bool_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"append!\", 256)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"tup_tup\")"] 0.95 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.09 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] 0.72 (25%) ✅ 1.00 (1%)
["dates", "parse", "(\"Date\", \"DateFormat\")"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", "Date"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Int8,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float32,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int8,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 0.93 (5%) ✅ 1.00 (1%)
["io", "skipchars"] 0.99 (5%) 1.15 (1%) ❌
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt\", \"UInt\")"] 0.88 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "json", "parse_json"] 6.49 (5%) ❌ 2.68 (1%) ❌
["problem", "laplacian", "laplace_iter_sub"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 7.24 (5%) ❌ 2.11 (1%) ❌
["random", "ranges", "(\"RangeGenerator\", \"BigInt\", \"1:4294967295\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.35 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acosh", "(\"1 <= abs(x) < 2\", \"positive argument\", \"Float32\")"] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Int64\", \"BigInt\")"] 1.88 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.975 <= abs(x) < 1.0\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 1.21 (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\", \"Float32\")"] 1.29 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"negative argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float64\")"] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"positive argument\", Float32)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"very small\", \"negative argument\", \"Float64\")"] 1.29 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"positive argument\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"very small\", \"positive argument\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"zero\", \"Float32\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"zero\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"2f-12 <= abs(x) < 9f0\", \"negative argument\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 1.60 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.71 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", "(\"2f0^-12 <= abs(x) < 1f0\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["shootout", "mandelbrot"] 0.99 (5%) 1.04 (1%) ❌
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 10)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 100)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"OneTo\", 1000)"] 0.67 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"array\", 1000)"] 0.59 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"logical\", 1000)"] 0.49 (30%) ✅ 1.00 (1%)
["sparse", "index", "(\"spmat\", \"row\", \"range\", 1000)"] 0.65 (30%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B!\", \"dense 40x4000, sparse 40x40 -> dense 4000x40\")"] 0.62 (30%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 0.91 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.85 (5%) ✅ 1.00 (1%)
["string", "replace"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.27 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (false, true))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int8, (false, false))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float64, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigInt, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Float64, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Int8, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigFloat, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Missing, BigFloat}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Missing, Bool}, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, BigFloat}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 0.83 (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.219
Commit 038c217 (2019-01-25 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   72826805 s       5014 s    8132072 s  2540549081 s         23 s
       #2  3501 MHz  424684334 s        203 s    7001286 s  2194147545 s         19 s
       #3  3501 MHz   56401130 s       3224 s    4772736 s  2564559547 s         26 s
       #4  3501 MHz   52762197 s          2 s    6190924 s  2566155282 s         17 s
       
  Memory: 31.383651733398438 GB (4493.29296875 MB free)
  Uptime: 2.6279445e7 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.217
Commit 3415875 (2019-01-25 16:48 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   72948096 s       5014 s    8142429 s  2541648680 s         23 s
       #2  3501 MHz  425839320 s        203 s    7017438 s  2194211807 s         19 s
       #3  3501 MHz   56514631 s       3224 s    4780151 s  2565673884 s         26 s
       #4  3501 MHz   52879958 s          2 s    6198000 s  2567265683 s         17 s
       
  Memory: 31.383651733398438 GB (4314.125 MB free)
  Uptime: 2.6291803e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)