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Benchmark Report

Job Properties

Commit: JuliaLang/julia@29d78fae2121eda08d03ebf1abeb4626859ef62b

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-11-10 vs 2023-11-07

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
["alloc", "arrays"] 0.70 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("accumulate", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 1.17 (5%) ❌ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 1.07 (5%) ❌ 1.00 (1%)
["array", "cat", "4467"] 0.93 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 0.83 (5%) ✅ 1.02 (1%) ❌
["array", "cat", ("catnd_setind", 5)] 1.01 (5%) 1.04 (1%) ❌
["array", "cat", ("catnd_setind", 500)] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.64 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 0.85 (5%) ✅ 1.00 (1%)
["array", "index", ("sumcartesian_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 3.50 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcartesian_view", "Base.ReinterpretArray{Int32, 3, Float64, Array{Float64, 3}, false}")] 1.55 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.92 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Float32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Float32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.91 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Float32, 2, Matrix{Float32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.84 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Float32, 2, Matrix{Float32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.93 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.89 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.94 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Int32, 2, Matrix{Int32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.89 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumcolon_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Float32}, 2, Float32, Matrix{Float32}, false}")] 0.23 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 0.36 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach", "Base.ReinterpretArray{Int32, 3, Float64, Array{Float64, 3}, false}")] 0.33 (50%) ✅ 1.00 (1%)
["array", "index", ("sumeach_view", "BitMatrix")] 0.06 (50%) ✅ 0.00 (1%) ✅
["array", "index", ("sumelt", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Float32}, 2, Float32, Matrix{Float32}, false}")] 0.25 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 0.08 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt", "Base.ReinterpretArray{Int32, 3, Float64, Array{Float64, 3}, false}")] 0.28 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Float32}, 2, Float32, Matrix{Float32}, false}")] 0.10 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 0.15 (50%) ✅ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "Base.ReinterpretArray{Int32, 3, Float64, Array{Float64, 3}, false}")] 0.29 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear", "Base.ReinterpretArray{Int32, 3, Float64, Array{Float64, 3}, false}")] 0.33 (50%) ✅ 1.00 (1%)
["array", "index", ("sumlinear_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 1.61 (50%) ❌ 1.00 (1%)
["array", "index", ("sumlinear_view", "BitMatrix")] 0.06 (50%) ✅ 0.00 (1%) ✅
["array", "index", ("sumrange", "Base.ReinterpretArray{Float32, 2, Int32, Matrix{Int32}, false}")] 0.84 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Float32, 2}")] 0.88 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32, 2}")] 0.87 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Float32, 2}")] 0.86 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 0.89 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 2}")] 0.84 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "BitMatrix")] 1.18 (50%) 1.25 (1%) ❌
["array", "index", ("sumrange", "Matrix{Float32}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "Matrix{Int32}")] 0.84 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.92 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Float32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.84 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Float32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.92 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Float32, 2, Matrix{Float32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.85 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Float32, 2, Matrix{Float32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.96 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.95 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.89 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 0.93 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Int32, 2, Matrix{Int32}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.89 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange", "SubArray{Int32, 2, Matrix{Int32}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}")] 0.96 (50%) 0.98 (1%) ✅
["array", "index", ("sumrange_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Float32}, 2, Float32, Matrix{Float32}, false}")] 0.13 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int32, Matrix{Int32}, false}")] 0.20 (50%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 1000)] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 250)] 1.05 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 500)] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "26942"] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 3)] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("array", 5)] 0.92 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 2.32 (25%) ❌ 1.00 (1%)
["collection", "queries & updates", ("BitSet", "Int", "length")] 2.35 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "==", "self")] 2.61 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union", "BitSet")] 0.68 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Set")] 1.59 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "⊆", "Vector")] 1.86 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "union!", "BitSet")] 0.91 (25%) 0.00 (1%) ✅
["collection", "set operations", ("Set", "Int", "union!", "Set")] 0.90 (25%) 0.00 (1%) ✅
["collection", "set operations", ("Set", "Int", "union!", "Vector")] 0.90 (25%) 0.00 (1%) ✅
["dates", "parse", ("Date", "DateFormat")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "10-90")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.89 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 1.20 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 0.88 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 1.07 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "broadcasting"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_invoke_calls"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 0.99 (5%) 0.99 (1%) ✅
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 1.04 (5%) 1.02 (1%) ❌
["inference", "optimization", "REPL.REPLCompletions.completions"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "broadcasting"] 1.02 (5%) 1.07 (1%) ❌
["inference", "optimization", "many_local_vars"] 0.90 (5%) ✅ 1.00 (1%)
["inference", "optimization", "println(::QuoteNode)"] 0.89 (5%) ✅ 1.00 (1%)
["io", "read", "read"] 1.13 (5%) ❌ 1.00 (1%)
["io", "read", "readstring"] 1.24 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["linalg", "small exp #29116"] 0.94 (5%) ✅ 0.98 (1%) ✅
["micro", "fib"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 0.82 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 0.91 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 0.51 (5%) ✅ 1.00 (1%)
["misc", "parse", "Float64"] 0.95 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 0.88 (5%) ✅ 1.00 (1%)
["misc", "repeat", (200, 24, 1)] 0.93 (5%) ✅ 1.00 (1%)
["problem", "chaosgame", "chaosgame"] 0.77 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 0.91 (5%) ✅ 1.00 (1%)
["problem", "simplex", "simplex"] 0.90 (5%) ✅ 1.00 (1%)
["problem", "stockcorr", "stockcorr"] 0.79 (5%) ✅ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.36 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float32")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("very large", "positive argument", "Float32")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("2 <= abs(x) < 2^28", "positive argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) small", "y positive", "x positive", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.63 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.75 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y negative", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y finite", "y negative", "x infinite", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x negative", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("zero", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float32")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float32", "sin_kernel")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64", "sin_kernel")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float32", "sin_kernel")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64", "sin_kernel")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64", "cos_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64", "cos_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float32", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "cos_kernel")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("0 <= abs(x) < 0.00024414062f0", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very small", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("very small", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("zero", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float3")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "fastmath", "13786"] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 6π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 7π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64", "sin_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64", "sin_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2f-12 <= abs(x) < 9f0", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2f-12 <= abs(x) < 9f0", "positive argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("9f0 <= abs(x) < 88.72283f0", "negative argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("9f0 <= abs(x) < 88.72283f0", "positive argument", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2f0^-12", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1f0 <= abs(x) < 9f0", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("1f0 <= abs(x) < 9f0", "positive argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very large", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["shootout", "k_nucleotide"] 0.94 (5%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Float32", 4, 32)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.86 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 2, 63)] 1.37 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 4, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int32", 4095)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "auto_sum_reduce", "Int32", 4096)] 1.33 (20%) ❌ 1.00 (1%)
["simd", ("Linear", "sum_reduce", "Int32", 4096)] 1.33 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 1000)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.90 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.84 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IJV", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 100)] 0.93 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 10)] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 10)] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "index", ("spmat", "array", 10)] 0.99 (30%) 0.96 (1%) ✅
["sparse", "index", ("spmat", "col", "array", 10)] 0.94 (30%) 0.94 (1%) ✅
["sparse", "index", ("spmat", "col", "array", 100)] 0.99 (30%) 0.99 (1%) ✅
["sparse", "index", ("spmat", "col", "logical", 10)] 0.92 (30%) 0.94 (1%) ✅
["sparse", "index", ("spmat", "col", "logical", 100)] 0.97 (30%) 0.98 (1%) ✅
["sparse", "index", ("spmat", "logical", 10)] 0.94 (30%) 0.95 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 2000x20, dense 20x20 -> dense 2000x20")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 2000x200, dense 20x200 -> dense 2000x20")] 0.98 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 2000x2000, dense 20x2000 -> dense 2000x20")] 1.14 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 200x20, dense 200x20 -> dense 200x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 200x200, dense 200x200 -> dense 200x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 200x2000, dense 20x2000 -> dense 200x20")] 1.16 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 20x20, dense 2000x20 -> dense 20x2000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bc!", "sparse 20x200, dense 200x200 -> dense 20x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 4000x40, dense 40x40 -> dense 4000x40")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 4000x400, dense 40x400 -> dense 4000x40")] 1.02 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 4000x4000, dense 40x4000 -> dense 4000x40")] 1.01 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 400x40, dense 400x40 -> dense 400x400")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 400x400, dense 400x400 -> dense 400x400")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 400x4000, dense 40x4000 -> dense 400x40")] 1.01 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 40x40, dense 4000x40 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("A_mul_Bt!", "sparse 40x400, dense 400x400 -> dense 40x400")] 1.03 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 2000x20, sparse 2000x200 -> dense 20x200")] 0.93 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 2000x20, sparse 2000x2000 -> dense 20x2000")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 200x20, sparse 200x2000 -> dense 20x2000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 200x200, sparse 200x20 -> dense 200x20")] 1.01 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 200x200, sparse 200x200 -> dense 200x200")] 0.91 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 20x20, sparse 20x2000 -> dense 20x2000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 20x200, sparse 20x200 -> dense 200x200")] 0.91 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_B!", "dense 20x2000, sparse 20x20 -> dense 2000x20")] 1.02 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 2000x20, sparse 2000x2000 -> dense 20x2000")] 1.05 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 2000x20, sparse 200x2000 -> dense 20x200")] 1.03 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 200x20, sparse 2000x200 -> dense 20x2000")] 1.06 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 200x200, sparse 200x200 -> dense 200x200")] 1.08 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 200x200, sparse 20x200 -> dense 200x20")] 1.06 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 20x20, sparse 2000x20 -> dense 20x2000")] 1.07 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 20x200, sparse 200x20 -> dense 200x200")] 1.10 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "dense 20x2000, sparse 20x20 -> dense 2000x20")] 1.10 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 2000x200, dense 20x2000 -> dense 200x20")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 2000x2000, dense 20x2000 -> dense 2000x20")] 0.91 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 200x20, dense 200x200 -> dense 20x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 200x200, dense 200x200 -> dense 200x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 200x2000, dense 20x200 -> dense 2000x20")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 20x20, dense 2000x20 -> dense 20x2000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 20x200, dense 200x20 -> dense 200x200")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("Ac_mul_Bc!", "sparse 20x2000, dense 20x20 -> dense 2000x20")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 4000x40, sparse 4000x400 -> dense 40x400")] 0.97 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 4000x40, sparse 4000x4000 -> dense 40x4000")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 400x40, sparse 400x4000 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 400x400, sparse 400x40 -> dense 400x40")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 400x400, sparse 400x400 -> dense 400x400")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 40x40, sparse 40x4000 -> dense 40x4000")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 40x400, sparse 40x400 -> dense 400x400")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_B!", "dense 40x4000, sparse 40x40 -> dense 4000x40")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 4000x40, sparse 4000x4000 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 4000x40, sparse 400x4000 -> dense 40x400")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 400x40, sparse 4000x400 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 400x400, sparse 400x400 -> dense 400x400")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 400x400, sparse 40x400 -> dense 400x40")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 40x40, sparse 4000x40 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 40x400, sparse 400x40 -> dense 400x400")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "dense 40x4000, sparse 40x40 -> dense 4000x40")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 4000x400, dense 40x4000 -> dense 400x40")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 4000x4000, dense 40x4000 -> dense 4000x40")] 1.04 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 400x40, dense 400x400 -> dense 40x400")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 400x400, dense 400x400 -> dense 400x400")] 0.98 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 400x4000, dense 40x400 -> dense 4000x40")] 1.13 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 40x40, dense 4000x40 -> dense 40x4000")] 1.00 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 40x400, dense 400x40 -> dense 400x400")] 0.98 (30%) 0.00 (1%) ✅
["sparse", "matmul", ("At_mul_Bt!", "sparse 40x4000, dense 40x40 -> dense 4000x40")] 0.99 (30%) 0.00 (1%) ✅
["sparse", "transpose", ("transpose", "(20000, 10000)")] 1.33 (30%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different length"] 1.07 (5%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "equal"] 1.07 (5%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "identical"] 0.70 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.86 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 0.95 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.73 (5%) ✅ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, false)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, false)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 1)] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "Bool", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, false)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, true)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(true, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, false)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 1.37 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(true, true)")] 1.44 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, false)")] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, true)")] 1.47 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(true, true)")] 1.48 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, false)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 1.54 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, false)")] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, false)")] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, false)")] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, false)")] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, false)")] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(true, true)")] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, false)")] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigFloat")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 0)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 0.72 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float32", 0)] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float32", 1)] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Float64", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int64", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 0)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.76 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int64", 0)] 0.72 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigInt", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int64", 0)] 0.72 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigInt", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Float32", 0)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int64", 0)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Bool}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, Int8}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, ComplexF64}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float32}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Float64}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, Int64}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, BigInt}", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, Float32}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "BigInt", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Float32", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Int64", 0)] 0.84 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Int8", 0)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Float32}", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Float64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Int64}", 1)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Int8}", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Int8", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigInt}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, Int64}", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigInt", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.77 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "BigInt", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 0.95 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["alloc"]
  • ["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"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["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 1.11.0-DEV.879
Commit 29d78fae21 (2023-11-09 15:04 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-76-generic #83-Ubuntu SMP Thu Jun 15 19:16:32 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1   800 MHz     472636 s        145 s     158662 s  109190294 s          0 s
       #2  3500 MHz    9800753 s        146 s     277646 s   99761767 s          0 s
       #3  3700 MHz     473045 s        135 s     138772 s  109128640 s          0 s
       #4  3900 MHz     391205 s        162 s     150231 s  109167618 s          0 s
       #5   800 MHz     384414 s         83 s     154924 s  108832534 s          0 s
       #6   800 MHz     405380 s        108 s     149482 s  109227443 s          0 s
       #7  2500 MHz     432348 s         59 s     170097 s  109212187 s          0 s
       #8   800 MHz     413190 s         78 s     134338 s  109269113 s          0 s
  Memory: 31.301593780517578 GB (19316.8203125 MB free)
  Uptime: 1.099364857e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores