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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@8377ea65c327b4ff9cc008d7425bbf3e36e0e55e vs JuliaLang/julia@0ec17276a6055fea31971eaad109d5888b9edd16

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_true_load!"] 1.26 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hcat\", 500)"] 0.83 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hcat_setind\", 500)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"hvcat\", 500)"] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"vcat\", 500)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", "(\"vcat_setind\", 500)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 0.89 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}\")"] 0.91 (5%) ✅ 1.00 (1%)
["array", "comprehension", "(\"comprehension_iteration\", \"Array{Float64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "convert", "(\"Float64\", \"Int\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Float32,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 2048)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"append!\", 256)"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_mapreduce\", \"Int64\")"] 1.11 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"BaseBenchmarks.ArrayBenchmarks.perf_reduce\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "reverse", "rev_load_fast!"] 0.95 (5%) ✅ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 1000)"] 0.86 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 0.93 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 0.89 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 0.88 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 250)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", "(\"Float64\", (1000, 1000), 2)"] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"tup_tup\")"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"tup_tup\")"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 3)"] 1.14 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"pop!\", \"specified\")"] 0.70 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"push!\", \"new\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"push!\", \"overwrite\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"setindex!\", \"new\")"] 0.74 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"String\", \"in\", \"true\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"union!\", \"big\")"] 1.31 (25%) ❌ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 0.90 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 0.94 (5%) ✅ 1.00 (1%)
["micro", "parseint"] 0.90 (5%) ✅ 0.86 (1%) ✅
["misc", "18129"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 1.14 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float16"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "issue 12165", "Float32"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "issue 12165", "Float64"] 0.86 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1, 1:1)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.94 (5%) ✅ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.06 (5%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.38 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"zero\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 1.72 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"abs(x) < 0.5\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"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\", \"negative argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x negative\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.45 (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\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"one\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float32\", \"cos_kernel\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 0.00024414062f0\", \"negative argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"0 <= abs(x) < 2.7755602085408512e-17\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow3\", \"positive argument\", \"Float32\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "fastmath", "(\"add\", \"BigInt\")"] 1.46 (40%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\")"] 0.67 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (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", "(\"medium\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["shootout", "binary_trees"] 0.94 (5%) ✅ 1.00 (1%)
["shootout", "pidigits"] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B!\", \"dense 40x4000, sparse 40x40 -> dense 4000x40\")"] 1.37 (30%) ❌ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (8, 8), (8, 8))"] 1.88 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (8,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 0.90 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 0.87 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 0.77 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4,))"] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.26 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (true, true))"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Int8, (false, false))"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, BigFloat, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, BigFloat, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, BigFloat, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (true, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Int64, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.75 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, false)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Int64, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.80 (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.244
Commit 8377ea6 (2019-02-01 04:47 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   43960730 s       2428 s    8572994 s  2623575018 s         12 s
       #2  3501 MHz  247730063 s         14 s    4425872 s  2430226312 s         18 s
       #3  3501 MHz   34971980 s       3143 s    4038998 s  2643189858 s         27 s
       #4  3501 MHz   33675565 s         14 s    3158819 s  2646528582 s         23 s
       
  Memory: 31.383651733398438 GB (4303.30078125 MB free)
  Uptime: 2.6844616e7 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.242
Commit 0ec1727 (2019-02-01 02:45 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   44084892 s       2428 s    8584175 s  2624728640 s         12 s
       #2  3501 MHz  248935532 s         14 s    4442230 s  2430297437 s         18 s
       #3  3501 MHz   35097148 s       3143 s    4046434 s  2644350270 s         27 s
       #4  3501 MHz   33789064 s         14 s    3166275 s  2647700742 s         23 s
       
  Memory: 31.383651733398438 GB (4950.42578125 MB free)
  Uptime: 2.6857553e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)