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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@d5583e02ee42d43953419ceb04cb72b7d7c6ddb6 vs JuliaLang/julia@7132c635ab8da723c0177a9d6617bf01f4e7460a

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", "(\"cumsum\", \"Float64\", \"dim1\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Float64\", \"dim2\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Int\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_true_load!"] 1.26 (5%) ❌ 1.00 (1%)
["array", "cat", "(\"hvcat_setind\", 500)"] 1.05 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"collect\", \"Array{Float64,1}\")"] 1.11 (5%) ❌ 1.00 (1%)
["array", "comprehension", "(\"comprehension_collect\", \"Array{Float64,1}\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 0.94 (5%) ✅ 1.00 (1%)
["array", "index", "(\"mapr_access\", \"Array{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"Array{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32,2}\")"] 0.01 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32,2}\")"] 0.01 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"BitArray{2}\")"] 0.01 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Array{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Base.ReshapedArray{Float32,2,SubArray{Float32,3,Array{Float32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},true}\")"] 0.05 (50%) ✅ 0.08 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,Base.ReshapedArray{Float32,2,SubArray{Float32,3,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false},Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},false}\")"] 0.10 (50%) ✅ 0.09 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Float32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Base.ReshapedArray{Int32,2,SubArray{Int32,3,Array{Int32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},true},Tuple{}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},true}\")"] 0.05 (50%) ✅ 0.09 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Base.ReshapedArray{Int32,2,SubArray{Int32,3,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,3},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false},Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64},Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}},Tuple{Base.Slice{Base.OneTo{Int64}},UnitRange{Int64}},false}\")"] 0.10 (50%) ✅ 0.10 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,2},Tuple{Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32,3},Tuple{Int64,Base.Slice{Base.OneTo{Int64}},Base.Slice{Base.OneTo{Int64}}},false}\")"] 0.02 (50%) ✅ 0.00 (1%) ✅
["array", "reductions", "(\"Statistics.mean\", \"Float64\")"] 1.05 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs2\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", "(\"sumabs\", \"Int64\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "reverse", "rev_load_slow!"] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 250)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivCopy!\", 500)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 500)"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(10, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 10)"] 0.75 (5%) ✅ 1.00 (1%)
["collection", "iteration", "(\"IdDict\", \"String\", \"iterate\")"] 0.57 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"BitSet\", \"Int\", \"in\", \"true\")"] 1.29 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"String\", \"getindex\")"] 1.32 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Any\", \"pop!\", \"specified\")"] 1.35 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", "(\"Set\", \"Int\", \"pop!\", \"unspecified\")"] 1.45 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"RFC1123Format\", \"Mixedcase\")"] 1.18 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"Date\", \"DateFormat\")"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 0.89 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{Int8,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float64,1}\")"] 0.91 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int64,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Int8,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt8,1}\")"] 1.09 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,1}(100000000,)\")"] 1.12 (5%) ❌ 1.01 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(10000, 10000)\")"] 1.20 (5%) ❌ 1.00 (1%)
["io", "array_limit", "(\"display\", \"Array{Float64,2}(100000000, 1)\")"] 1.10 (5%) ❌ 1.01 (1%)
["io", "skipchars"] 1.16 (5%) ❌ 1.00 (1%)
["misc", "18129"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "20517"] 0.02 (5%) ✅ 0.01 (1%) ✅
["misc", "23042", "Float64"] 1.18 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"Int\")"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"Int\", \"UInt\")"] 1.23 (5%) ❌ 1.00 (1%)
["misc", "bitshift", "(\"UInt32\", \"UInt32\")"] 0.81 (5%) ✅ 1.00 (1%)
["misc", "bitshift", "(\"UInt\", \"UInt\")"] 1.20 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 1.42 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "parse", "DateTime"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "parse", "Float64"] 0.95 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "json", "parse_json"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.06 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_sparse_matvec"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 1.06 (5%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"large Set\")"] 1.43 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Dict\")"] 1.33 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Vector\")"] 1.28 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"ImplicitRNG\", \"Int\", \"1:1000\")"] 1.28 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:170141183460469231731687303715884105728)\")"] 1.26 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"rand\", \"MersenneTwister\", \"BigInt\", \"RangeGenerator(1:2^10000)\")"] 1.35 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{UInt16}\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Complex{UInt32}\")"] 1.27 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand\", \"MersenneTwister\", \"ImplicitFloat64\")"] 1.29 (25%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"add\", \"Int64\", \"BigInt\")"] 1.56 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Bool\", \"BigInt\")"] 1.43 (40%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 0.59 (40%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"very large\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"positive argument\", \"Float64\")"] 1.25 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y negative\", \"x positive\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x positive\", \"Float64\")"] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x negative\", \"Float32\")"] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y positive\", \"x positive\", \"Float64\")"] 1.07 (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", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"negative argument\", \"Float64\")"] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float64\", \"sin_kernel\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"negative argument\", \"Float64\", \"cos_kernel\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", "(\"no reduction\", \"positive argument\", \"Float64\", \"cos_kernel\")"] 1.05 (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\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"negative argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very large\", \"positive argument\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"negative argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"very small\", \"positive argument\", \"Float32\")"] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction II\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"arg reduction I\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"one\", \"Float32\")"] 0.94 (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", "sin", "(\"argument reduction (paynehanek) abs(x) > 2.0^20*π/2\", \"negative argument\", \"Float32\", \"sin_kernel\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"positive argument\", \"Float32\", \"sin_kernel\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"0 <= abs(x) < 2.0^-28\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sinh", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float32\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"medium\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 100)"] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Diagonal\", 1000)"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "sparse solves", "square system (ldlt), vector rhs"] 1.06 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matmat\", (8, 8), (8, 8))"] 1.25 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"minimum\", (16,))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (16,))"] 0.84 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2, 2))"] 1.17 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (2,))"] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Int8, (false, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Int8, false)"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Bool, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", identity, Float64, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int64, true)"] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int64\")"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigInt, true)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 1.30 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", BigFloat, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Int8, true)"] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Complex{Float64}, true)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigFloat, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", BigFloat, true)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Union{Nothing, BigFloat}, false)"] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, BigFloat, false)"] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Bool}, true)"] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Nothing, BigFloat}, false)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Bool}, false)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"sort\", Union{Nothing, Int64}, false)"] 0.86 (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 1.1.1-pre.34
Commit d5583e0 (2019-04-15 12:34 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   46632525 s       2433 s   10320750 s  3250301248 s         12 s
       #2  3501 MHz  269883219 s         14 s    4868582 s  3040367257 s         19 s
       #3  3501 MHz   37639168 s       3165 s    4557831 s  3272783013 s         28 s
       #4  3501 MHz   36297602 s         15 s    3427638 s  3276676836 s         25 s
       
  Memory: 31.383651733398438 GB (4815.2578125 MB free)
  Uptime: 3.3176189e7 sec
  Load Avg:  1.0830078125  1.03125  1.05078125
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)

Comparison Build

Julia Version 1.1.1-pre.2
Commit 7132c63 (2019-04-12 11:45 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   46747418 s       2433 s   10331641 s  3251431448 s         12 s
       #2  3501 MHz  271059109 s         14 s    4884262 s  3040435571 s         19 s
       #3  3501 MHz   37762514 s       3165 s    4564737 s  3273912740 s         28 s
       #4  3501 MHz   36411974 s         15 s    3434362 s  3277815920 s         25 s
       
  Memory: 31.383651733398438 GB (4887.73046875 MB free)
  Uptime: 3.3188796e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, haswell)