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Benchmark Report

Job Properties

Commit(s): JuliaLang/julia@421e5c800780370ddb73fef0efc2a95a55a8a667 vs JuliaLang/julia@5b7e8d9d4e6065c6c57834c86304ed0d12e632c2

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\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "accumulate", "(\"cumsum!\", \"Float64\", \"dim2\")"] 0.89 (5%) ✅ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Float64\", \"dim2\")"] 0.94 (5%) ✅ 1.00 (1%)
["array", "accumulate", "(\"cumsum\", \"Int\")"] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", "(\"==\", \"Array{Int64,1}\")"] 0.90 (5%) ✅ 1.00 (1%)
["array", "growth", "(\"prerend!\", 2048)"] 1.11 (5%) ❌ 1.00 (1%)
["array", "growth", "(\"push_multiple!\", 8)"] 0.90 (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}\")"] 0.00 (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}\")"] 0.01 (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}\")"] 0.01 (50%) ✅ 0.04 (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}\")"] 0.00 (50%) ✅ 0.00 (1%) ✅
["array", "index", "(\"mapr_access\", \"SubArray{Int32,2,Array{Int32,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}\")"] 0.03 (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}\")"] 0.01 (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}\")"] 0.01 (50%) ✅ 0.04 (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}\")"] 0.03 (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", "subarray", "(\"lucompletepivCopy!\", 1000)"] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", "(\"lucompletepivSub!\", 1000)"] 1.05 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup\")"] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"scal_tup_x3\")"] 0.88 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(3, \"tup_tup\")"] 0.93 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", "(5, \"scal_tup_x3\")"] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 3)"] 1.14 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"array\", 5)"] 1.11 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", "(\"tuple\", 3)"] 0.91 (5%) ✅ 1.00 (1%)
["collection", "queries & updates", "(\"Dict\", \"Any\", \"getindex\")"] 1.33 (25%) ❌ 1.00 (1%)
["collection", "set operations", "(\"BitSet\", \"Int\", \"⊆\", \"Vector\")"] 1.33 (25%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"DateFormat\")"] 1.05 (5%) ❌ 1.00 (1%)
["dates", "parse", "(\"DateTime\", \"ISODateTimeFormat\")"] 0.93 (5%) ✅ 1.00 (1%)
["dates", "parse", "(\"Date\", \"DateFormat\")"] 1.09 (5%) ❌ 1.00 (1%)
["dates", "parse", "DateTime"] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", "(\"ispos\", \"Array{Int8,1}\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", "(\"ispos\", \"Array{UInt8,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", "(\"Array{Bool,1}\", \"50-50\")"] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Bool,1}\")"] 1.20 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{Float32,1}\")"] 1.21 (5%) ❌ 1.00 (1%)
["find", "findprev", "(\"ispos\", \"Array{UInt64,1}\")"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "20517"] 0.02 (5%) ✅ 0.01 (1%) ✅
["misc", "23042", "Complex{Float32}"] 1.09 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 1.51 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["random", "collections", "(\"rand\", \"ImplicitRNG\", \"small Set\")"] 1.33 (25%) ❌ 1.00 (1%)
["random", "collections", "(\"rand\", \"MersenneTwister\", \"large Set\")"] 1.29 (25%) ❌ 1.00 (1%)
["random", "ranges", "(\"RangeGenerator\", \"UInt64\", \"1:4294967295\")"] 1.50 (25%) ❌ 1.00 (1%)
["random", "types", "(\"rand!\", \"MersenneTwister\", \"Float16\")"] 1.26 (25%) ❌ 1.00 (1%)
["random", "types", "(\"randexp\", \"ImplicitRNG\", \"Float64\")"] 0.71 (25%) ✅ 1.00 (1%)
["random", "types", "(\"randexp\", \"ImplicitRNG\", \"ImplicitFloat64\")"] 0.67 (25%) ✅ 1.00 (1%)
["random", "types", "(\"randexp\", \"MersenneTwister\", \"Float16\")"] 0.64 (25%) ✅ 1.00 (1%)
["random", "types", "(\"randexp\", \"MersenneTwister\", \"ImplicitFloat64\")"] 0.72 (25%) ✅ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float32\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"0.5 <= abs(x) < 1\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "acos", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", "(\"mul\", \"UInt64\", \"BigInt\")"] 1.59 (50%) ❌ 1.00 (1%)
["scalar", "arithmetic", "(\"rem type\", \"Char\", \"BigInt\")"] 1.69 (40%) ❌ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"0.5 <= abs(x) < 0.975\", \"negative argument\", \"Float64\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"one\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asin", "(\"small\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", "(\"2^-28 <= abs(x) < 2\", \"positive argument\", \"Float64\")"] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"very small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", "(\"zero\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"0 <= abs(x) < 7/16\", \"negative argument\", \"Float32\")"] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"11/16 <= abs(x) < 19/16\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"19/16 <= abs(x) < 39/16\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"negative argument\", \"Float64\")"] 0.80 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"7/16 <= abs(x) < 11/16\", \"positive argument\", \"Float64\")"] 0.78 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", "(\"very small\", \"positive argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x negative\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) high\", \"y positive\", \"x negative\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (large)\", \"y positive\", \"x positive\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) safe (small)\", \"y negative\", \"x positive\", \"Float32\")"] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan2", "(\"abs(y/x) small\", \"y positive\", \"x positive\", \"Float32\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atanh", "(\"very small\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float32\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "cosh", "(\"zero\", \"Float64\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", "(\"2pow127\", \"negative argument\", Float32)"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", "(\"2pow35\", \"negative argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", "(\"large\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", "(\"medium\", \"negative argument\", \"Float32\")"] 0.79 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (easy) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (hard) abs(x) < 8π/4\", \"negative argument\", \"Float64\")"] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", "(\"argument reduction (hard) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 2π/4\", \"negative argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 2π/4\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 3π/4\", \"negative argument\", \"Float64\")"] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (easy) abs(x) < 3π/4\", \"positive argument\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 4π/4\", \"positive argument\", \"Float64\")"] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", "(\"argument reduction (hard) abs(x) < 6π/4\", \"negative argument\", \"Float64\")"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sin", "(\"no reduction\", \"zero\", \"Float32\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 2.0^20π/4\", \"negative argument\", \"Float32\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"argument reduction (easy) abs(x) < 8π/4\", \"positive argument\", \"Float64\")"] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", "(\"no reduction\", \"zero\", \"Float64\")"] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"negative argument\", \"Float64\")"] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float32\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"small\", \"positive argument\", \"Float64\")"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", "(\"very small\", \"positive argument\", \"Float64\")"] 0.41 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"Bidiagonal\", 100)"] 0.91 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IJV\", 100)"] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", "(\"IV\", 10)"] 0.88 (5%) ✅ 1.00 (1%)
["string", "join"] 1.41 (40%) ❌ 1.00 (1%)
["string", "replace"] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", "(\"matvec\", (8, 8), (8,))"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sum\", (8, 8))"] 0.90 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (16,))"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (2, 2))"] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (4,))"] 0.82 (5%) ✅ 1.00 (1%)
["tuple", "reduction", "(\"sumabs\", (8,))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (false, true))"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"broadcast\", *, BigInt, (true, true))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (false, true))"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, BigInt, (true, true))"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", *, Complex{Float64}, (false, false))"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, BigInt, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Bool, true)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", abs, Float32, true)"] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", "(\"map\", abs, Float64, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Float32, true)"] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", "(\"map\", identity, Int8, false)"] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Bool\")"] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_countequals\", \"Int8\")"] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", BigFloat, false)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Bool, true)"] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Float32, true)"] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int64, true)"] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_simplecopy\", Int8, true)"] 0.79 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Bool, true)"] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Float64, true)"] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum2\", Int8, false)"] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Complex{Float64}, true)"] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum3\", Float64, true)"] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum4\", BigInt, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum4\", Int8, true)"] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", "(\"perf_sum\", Float32, true)"] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", "(\"perf_sum\", Int8, true)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", collect, Int64, false)"] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Complex{Float64}}, true)"] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float32}, true)"] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", "(\"skipmissing\", sum, Union{Missing, Float64}, true)"] 0.90 (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 1.0.4-pre.25
Commit 421e5c8 (2019-04-15 11:05 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   84807458 s       5022 s    9605448 s  3222973191 s         24 s
       #2  3501 MHz  527721559 s        203 s    8858588 s  2786176119 s         20 s
       #3  3501 MHz   68022943 s       3234 s    5730639 s  3248998549 s         29 s
       #4  3501 MHz   63939635 s         12 s    7592851 s  3250221973 s         18 s
       
  Memory: 31.383651733398438 GB (5083.76953125 MB free)
  Uptime: 3.3253704e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)

Comparison Build

Julia Version 1.0.4-pre.0
Commit 5b7e8d9 (2018-12-19 09:38 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   84929346 s       5022 s    9615346 s  3224096703 s         24 s
       #2  3501 MHz  528896259 s        203 s    8873906 s  2786245755 s         20 s
       #3  3501 MHz   68134541 s       3234 s    5738017 s  3250138883 s         29 s
       #4  3501 MHz   64053880 s         12 s    7599700 s  3251360244 s         18 s
       
  Memory: 31.383651733398438 GB (4053.84765625 MB free)
  Uptime: 3.3266305e7 sec
  Load Avg:  1.0029296875  1.0146484375  1.04541015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)