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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@ceb8dcf2d4a36d151691ab361f9ded624a68e8cd vs JuliaLang/julia@f0ab5bbd9a2ac1144e7c2f077870c40dded51962

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", "cat", "4467"] 1.47 (5%) ❌ 1.65 (1%) ❌
["array", "equality", "(\"isequal\", \"Array{Int64,1} isequal Array{Int64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 1)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 3)"] 1.08 (5%) ❌ 1.00 (1%)
["array", "setindex!", "(\"setindex!\", 4)"] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.92 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 10)"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 5)"] 0.94 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"setindex!\", \"new\")"] 1.39 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"==\", \"BitSet\")"] 1.28 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff\", \"BitSet\", \"BitSet\")"] 1.65 (25%) ❌ 1.07 (1%) ❌
["collection", "set operations", "(\"BitSet\", \"Int\", \"symdiff\", \"Set\", \"Set\")"] 1.17 (25%) 1.05 (1%) ❌
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Titlecase\")"] 1.13 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 0.89 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 0.92 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"Array{Bool,1}\", \"50-50\")"] 1.21 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 0.63 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 1.07 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 0.94 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 0.94 (5%) ✅ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 0.93 (5%) ✅ 1.00 (1%)
["io", "read", "readstring"] 0.93 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Matrix{Float64}\")"] 0.84 (5%) ✅ 1.00 (1%)
["io", "serialization", "(\"deserialize\", \"Vector{String}\")"] 0.88 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", "(\"-\", \"Matrix\", \"Matrix\", 256)"] 0.42 (45%) ✅ 1.00 (1%)
["linalg", "factorization", "(\"svd\", \"Diagonal\", 1024)"] 1.00 (45%) 1.07 (1%) ❌
["linalg", "factorization", "(\"svd\", \"Diagonal\", 256)"] 1.00 (45%) 1.02 (1%) ❌
["micro", "fib"] 0.87 (5%) ✅ 1.00 (1%)
["micro", "printfd"] 1.01 (5%) 1.04 (1%) ❌
["misc", "fastmath many args"] 1.58 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large BitSet\")"] 1.39 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.37 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"UInt32\")"] 0.62 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Int64\", \"BigInt\")"] 1.76 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"UInt64\", \"BigInt\")"] 1.44 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"Int64\", \"BigInt\")"] 1.58 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"sub\", \"UInt64\", \"BigInt\")"] 1.69 (50%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"positive argument\", \"Float32\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"zero\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"39/16 <= abs(x) < 2^66\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very large\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"zero\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y negative\", \"x negative\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x negative\", \"Float32\")"] 0.76 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x positive\", \"Float32\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float32\")"] 1.38 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"x one\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 0.76 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (hard) abs(x) < 8π/4\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float32\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow1023\", \"negative argument\", Float64)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) > 2.0^20*π/2\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 0.58 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"zero\", \"Float32\")"] 0.88 (5%) ✅ 1.00 (1%)
["shootout", "binary_trees"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 100)"] 1.09 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 100)"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Tridiagonal\", 1000)"] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_B\", \"dense 5x50, sparse 50x500 -> dense 5x500\")"] 1.38 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_B\", \"dense 5x500, sparse 500x500 -> dense 5x500\")"] 1.39 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_B\", \"sparse 50x500, dense 500x5 -> dense 50x5\")"] 1.31 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_Bt\", \"sparse 500x500, dense 5x500 -> dense 500x5\")"] 1.32 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"A_mul_Bt\", \"sparse 50x500, dense 5x500 -> dense 50x5\")"] 1.38 (30%) ❌ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B\", \"dense 500x5, sparse 500x500 -> dense 5x500\")"] 0.69 (30%) ✅ 1.00 (1%)
["sparse", "matmul", "(\"At_mul_B\", \"dense 50x5, sparse 50x500 -> dense 5x500\")"] 0.69 (30%) ✅ 1.00 (1%)
["sparse", "transpose", "(\"transpose\", (20000, 20000))"] 1.41 (30%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 1.05 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.60 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (4, 4), (4, 4))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (2, 2))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16, 16))"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 1.05 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (4, 4))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8,))"] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4, 4))"] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Complex{Float64}, (true, true))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (false, true))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, Float32, (true, true))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Bool, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", abs, Float32, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"broadcast\", identity, Complex{Float64}, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, true))"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (true, true))"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (false, true))"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int64, (true, true))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Complex{Float64}, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, false))"] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Complex{Float64}, (false, true))"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_binaryop\", *, Float64, (false, false))"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, false)"] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Complex{Float64}, true)"] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float64, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Complex{Float64}, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, false)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Complex{Float64}, true)"] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float64, true)"] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", Union{Missing, BigFloat}, true)"] 1.06 (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-DEV.303
Commit ceb8dcf (2019-10-11 21:31 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   52546206 s       2441 s   14948871 s  4784315765 s         16 s
       #2  3501 MHz  320599965 s         40 s    6142473 s  4537373954 s         22 s
       #3  3501 MHz   43579240 s       3194 s    5157025 s  4815258654 s         34 s
       #4  3501 MHz   42040113 s         16 s    3968887 s  4819945860 s         31 s
       
  Memory: 31.383651733398438 GB (14812.046875 MB free)
  Uptime: 4.8674696e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1-jl (ORCJIT, haswell)

Comparison Build

Julia Version 1.4.0-DEV.301
Commit f0ab5bb (2019-10-11 21:30 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   52651780 s       2441 s   14957675 s  4785530206 s         16 s
       #2  3501 MHz  321841188 s         40 s    6167528 s  4537441154 s         22 s
       #3  3501 MHz   43687399 s       3194 s    5161721 s  4816478651 s         34 s
       #4  3501 MHz   42143896 s         16 s    3973335 s  4821171067 s         31 s
       
  Memory: 31.383651733398438 GB (14687.01171875 MB free)
  Uptime: 4.8688034e7 sec
  Load Avg:  0.9228515625  0.998046875  1.0400390625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1-jl (ORCJIT, haswell)