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Benchmark Report

Job Properties

Commits: JuliaLang/julia@cb532d5cbca9cff82e6b1545c5120c4d492e64c8 vs JuliaLang/julia@430e5e002b5a07b3966e694d2f681992c2123f1f

Comparison Diff: link

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", "equality", ("==", "Vector{Int16}")] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", ("append!", 8)] 1.06 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_multiple!", 2048)] 1.07 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_multiple!", 256)] 1.07 (5%) ❌ 1.00 (1%)
["array", "index", ("sumelt", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Float32}, 2, Float32, Matrix{Float32}, false}")] 1.54 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 1.85 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "100000:-1:1")] 2.00 (50%) ❌ 1.00 (1%)
["array", "reductions", ("sum", "Int64")] 1.10 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 100)] 0.94 (5%) ✅ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "sparse", ("(1000, 1000)", 2)] 1.06 (5%) ❌ 1.00 (1%)
["collection", "queries & updates", ("Set", "String", "in", "true")] 0.71 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", ("Vector", "Int", "in", "true")] 1.31 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "BitSet")] 1.42 (25%) ❌ 1.00 (1%)
["dates", "parse", "DateTime"] 0.89 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 0.89 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("Vector{Bool}", "50-50")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findprev", ("Vector{Bool}", "50-50")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 1.10 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt64}")] 0.86 (5%) ✅ 1.00 (1%)
["io", "read", "read"] 1.33 (5%) ❌ 1.00 (1%)
["io", "read", "readstring"] 0.94 (5%) ✅ 1.00 (1%)
["io", "serialization", ("serialize", "Vector{String}")] 1.20 (5%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float32"] 1.10 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.32 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 0.86 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.19 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.79 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 2.84 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float16"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "issue 12165", "Float32"] 0.83 (5%) ✅ 1.00 (1%)
["misc", "issue 12165", "Float64"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000)"] 0.85 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000, 1:1000)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "perf highdim generator"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 24, 1)] 0.83 (5%) ✅ 1.00 (1%)
["problem", "json", "parse_json"] 1.07 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.07 (5%) ❌ 1.00 (1%)
["random", "collections", ("rand!", "ImplicitRNG", "large String")] 0.69 (25%) ✅ 1.00 (1%)
["random", "collections", ("rand!", "ImplicitRNG", "small String")] 0.63 (25%) ✅ 1.00 (1%)
["random", "types", ("randn!", "ImplicitRNG", "Float64")] 1.28 (25%) ❌ 1.00 (1%)
["scalar", "acosh", ("2 <= abs(x) < 2^28", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.975 <= abs(x) < 1.0", "negative argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "negative argument", "Float32")] 1.42 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float64")] 1.16 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("0 <= abs(x) < 2^-28", "negative argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("0 <= abs(x) < 2^-28", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "negative argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("11/16 <= abs(x) < 19/16", "positive argument", "Float32")] 0.81 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("39/16 <= abs(x) < 2^66", "negative argument", "Float32")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("7/16 <= abs(x) < 11/16", "negative argument", "Float32")] 0.82 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("zero", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("zero", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 1.35 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float64")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("zero", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.30 (5%) ❌ 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) < 7π/4", "negative argument", "Float64")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float32", "sin_kernel")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64", "sin_kernel")] 0.77 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 2.0^20π/4", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("zero", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["shootout", "fannkuch"] 1.10 (5%) ❌ 1.00 (1%)
["simd", ("auto_axpy!", "Float32", 4096)] 0.67 (20%) ✅ 1.00 (1%)
["simd", ("axpy!", "Float32", 4096)] 0.67 (20%) ✅ 1.00 (1%)
["simd", ("manual_example!", "Float64", 4095)] 1.20 (20%) ❌ 1.00 (1%)
["simd", ("manual_example!", "Float64", 4096)] 1.24 (20%) ❌ 1.00 (1%)
["sort", "insertionsort", ("sort reverse", "ascending")] 0.67 (30%) ✅ 1.00 (1%)
["sort", "insertionsort", ("sort! reverse", "ascending")] 0.67 (30%) ✅ 1.00 (1%)
["sort", "insertionsort", ("sort! reverse", "descending")] 1.51 (30%) ❌ 1.00 (1%)
["sort", "insertionsort", ("sortperm! reverse", "descending")] 0.66 (30%) ✅ 1.00 (1%)
["sort", "issorted", ("forwards", "ones")] 1.32 (30%) ❌ 1.00 (1%)
["sort", "issorted", ("reverse", "ones")] 1.32 (30%) ❌ 1.00 (1%)
["sort", "mergesort", ("sort forwards", "ascending")] 1.30 (30%) ❌ 1.00 (1%)
["sort", "mergesort", ("sort reverse", "ones")] 1.44 (30%) ❌ 1.00 (1%)
["sort", "mergesort", ("sort! forwards", "ascending")] 1.31 (30%) ❌ 1.00 (1%)
["sort", "mergesort", ("sort! forwards", "ones")] 0.69 (30%) ✅ 1.00 (1%)
["sort", "mergesort", ("sort! reverse", "ones")] 1.49 (30%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 1000)] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "sparse matvec", "adjoint"] 1.31 (5%) ❌ 1.00 (1%)
["sparse", "sparse matvec", "non-adjoint"] 1.25 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 1.09 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 0.87 (5%) ✅ 1.00 (1%)
["string", "readuntil", "backtracking"] 1.07 (5%) ❌ 1.00 (1%)
["string", "readuntil", "barbarian backtrack"] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1000"] 0.88 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.93 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 50000"] 0.85 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.64 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "misc", "longtuple"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4, 4)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 0)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "ComplexF64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 0)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float32", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Float64", 1)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int64", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int64", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "Int8", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(true, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "BigInt", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "ComplexF64", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Bool", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "ComplexF64", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Float32", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Float64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int64", 0)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int8", 0)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigFloat}", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigInt}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Bool}", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, ComplexF64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float32}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Float64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int64}", 1)] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int8}", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Bool}", 0)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float32}", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float64}", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int64}", 0)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int8}", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Float32", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Bool}", 1)] 1.10 (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", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["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", "==(::AbstractString, ::AbstractString)"]
  • ["string", "==(::SubString, ::String)"]
  • ["string", "findfirst"]
  • ["string"]
  • ["string", "readuntil"]
  • ["string", "repeat"]
  • ["tuple", "index"]
  • ["tuple", "linear algebra"]
  • ["tuple", "misc"]
  • ["tuple", "reduction"]
  • ["union", "array"]

Version Info

Primary Build

Julia Version 1.8.0-DEV.190
Commit cb532d5cbc (2021-07-15 18:31 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.2 LTS
  uname: Linux 5.4.0-1037-aws #39-Ubuntu SMP Thu Jan 14 02:56:06 UTC 2021 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz: 
              speed         user         nice          sys         idle          irq
       #1  3401 MHz     330219 s       2773 s      33826 s  123152054 s          0 s
       #2  3399 MHz   13031155 s        974 s     702934 s  109787911 s          0 s
       #3  3403 MHz     231736 s        928 s      11091 s  123281357 s          0 s
       #4  3415 MHz     259192 s        945 s      12284 s  123251997 s          0 s
       #5  3410 MHz     146897 s        893 s      10564 s  123340316 s          0 s
       #6  3404 MHz     182590 s        951 s       9942 s  123332156 s          0 s
       #7  3418 MHz     152019 s        780 s      10454 s  123362455 s          0 s
       #8  3417 MHz     146977 s        964 s       9664 s  123357082 s          0 s
       
  Memory: 30.362831115722656 GB (7657.44140625 MB free)
  Uptime: 1.2352833e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.0 (ORCJIT, skylake-avx512)

Comparison Build

Julia Version 1.8.0-DEV.186
Commit 430e5e002b (2021-07-15 18:31 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.2 LTS
  uname: Linux 5.4.0-1037-aws #39-Ubuntu SMP Thu Jan 14 02:56:06 UTC 2021 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz: 
              speed         user         nice          sys         idle          irq
       #1  3427 MHz     330293 s       2774 s      33853 s  123260681 s          0 s
       #2  3403 MHz   13132431 s        974 s     709443 s  109788868 s          0 s
       #3  3399 MHz     231792 s        928 s      11105 s  123390029 s          0 s
       #4  3403 MHz     259658 s        945 s      12313 s  123360244 s          0 s
       #5  3401 MHz     147335 s        893 s      10581 s  123448603 s          0 s
       #6  3411 MHz     182627 s        951 s       9954 s  123440848 s          0 s
       #7  3421 MHz     152046 s        780 s      10466 s  123471158 s          0 s
       #8  3412 MHz     147030 s        964 s       9677 s  123465746 s          0 s
       
  Memory: 30.362831115722656 GB (7563.53125 MB free)
  Uptime: 1.2363707e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-12.0.0 (ORCJIT, skylake-avx512)