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Benchmark Report

Job Properties

Commit: JuliaLang/julia@9c42df6e7474f9e6d33bb97813c921c57e94a499

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-11-06 vs 2023-11-03

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", "strings"] 1.08 (5%) ❌ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "cat", ("hcat", 5)] 1.05 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 1.17 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 1.15 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 1.14 (5%) ❌ 1.00 (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}")] 2.36 (50%) ❌ 1.00 (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}")] 1.90 (50%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 2)] 0.93 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 3)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 4)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 5)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "scal_tup")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.57 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "tup_tup")] 0.32 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 1.17 (5%) ❌ 1.00 (1%)
["collection", "initialization", ("Vector", "Any", "iterator")] 0.64 (25%) ✅ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 0.58 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "<", "Set")] 1.30 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "==", "Set")] 1.30 (25%) ❌ 1.00 (1%)
["collection", "set operations", ("Set", "Int", "⊆", "Vector")] 1.26 (25%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 0.85 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.82 (5%) ✅ 1.00 (1%)
["dates", "parse", "DateTime"] 0.95 (5%) ✅ 1.00 (1%)
["dates", "string", "DateTime"] 1.21 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 0.64 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.59 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{Float64}")] 0.51 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{Int64}")] 0.63 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.70 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{UInt64}")] 0.81 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.5", "Vector{UInt8}")] 0.67 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("> q0.8", "Vector{Bool}")] 0.37 (5%) ✅ 0.06 (1%) ✅
["find", "findall", ("> q0.8", "Vector{Float32}")] 0.36 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.8", "Vector{Float64}")] 0.34 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.8", "Vector{Int64}")] 0.52 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.8", "Vector{Int8}")] 0.48 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.8", "Vector{UInt64}")] 0.75 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.8", "Vector{UInt8}")] 0.50 (5%) ✅ 0.31 (1%) ✅
["find", "findall", ("> q0.95", "Vector{Bool}")] 0.38 (5%) ✅ 0.06 (1%) ✅
["find", "findall", ("> q0.95", "Vector{Float32}")] 0.31 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.95", "Vector{Float64}")] 0.27 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.95", "Vector{Int64}")] 0.51 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.95", "Vector{Int8}")] 0.45 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.95", "Vector{UInt64}")] 0.75 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.95", "Vector{UInt8}")] 0.44 (5%) ✅ 0.14 (1%) ✅
["find", "findall", ("> q0.99", "Vector{Bool}")] 0.36 (5%) ✅ 0.06 (1%) ✅
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.29 (5%) ✅ 0.08 (1%) ✅
["find", "findall", ("> q0.99", "Vector{Float64}")] 0.25 (5%) ✅ 0.08 (1%) ✅
["find", "findall", ("> q0.99", "Vector{Int64}")] 0.51 (5%) ✅ 0.08 (1%) ✅
["find", "findall", ("> q0.99", "Vector{Int8}")] 0.41 (5%) ✅ 0.07 (1%) ✅
["find", "findall", ("> q0.99", "Vector{UInt64}")] 0.74 (5%) ✅ 0.08 (1%) ✅
["find", "findall", ("> q0.99", "Vector{UInt8}")] 0.42 (5%) ✅ 0.08 (1%) ✅
["find", "findall", ("BitVector", "90-10")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.65 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("ispos", "Vector{Float32}")] 0.58 (5%) ✅ 0.67 (1%) ✅
["find", "findall", ("ispos", "Vector{Float64}")] 0.59 (5%) ✅ 0.67 (1%) ✅
["find", "findall", ("ispos", "Vector{Int64}")] 0.48 (5%) ✅ 0.51 (1%) ✅
["find", "findall", ("ispos", "Vector{Int8}")] 0.64 (5%) ✅ 0.50 (1%) ✅
["find", "findall", ("ispos", "Vector{UInt64}")] 0.55 (5%) ✅ 0.67 (1%) ✅
["find", "findall", ("ispos", "Vector{UInt8}")] 0.67 (5%) ✅ 0.67 (1%) ✅
["find", "findnext", ("Vector{Bool}", "50-50")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.15 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "broadcasting"] 0.90 (5%) ✅ 0.95 (1%) ✅
["inference", "abstract interpretation", "many_invoke_calls"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "println(::QuoteNode)"] 0.94 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "allinference", "broadcasting"] 0.85 (5%) ✅ 0.88 (1%) ✅
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 0.85 (5%) ✅ 1.00 (1%)
["inference", "optimization", "many_method_matches"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "sin(42)"] 0.90 (5%) ✅ 1.00 (1%)
["io", "read", "readstring"] 1.07 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 1.13 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1)"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1)"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1, 1:1, 1:1)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000)"] 1.15 (5%) ❌ 1.00 (1%)
["misc", "julia", ("parse", "function")] 0.63 (5%) ✅ 1.00 (1%)
["misc", "julia", ("parse", "nested")] 0.48 (5%) ✅ 1.00 (1%)
["problem", "grigoriadis khachiyan", "grigoriadis_khachiyan"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "json", "parse_json"] 0.92 (5%) ✅ 1.00 (1%)
["problem", "spellcheck", "spellcheck"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "ziggurat", "ziggurat"] 0.95 (5%) ✅ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "Int16", "1:1")] 1.26 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt16", "1:1")] 1.26 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt64", "1:18446744073709551615")] 1.28 (25%) ❌ 1.00 (1%)
["random", "ranges", ("RangeGenerator", "UInt8", "1:1")] 1.28 (25%) ❌ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 0.94 (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", "arithmetic", ("mul", "Int64", "ComplexF64")] 4.06 (50%) ❌ 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", ("very small", "negative argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("zero", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("0 <= abs(x) < 7/16", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very small", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.69 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 0.60 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x zero", "y positive", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative 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")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 0.94 (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", ("medium", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 0.95 (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", "rem_pio2", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "sin_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "sin_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2f-12", "negative argument", "Float32")] 1.22 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("0 <= abs(x) < 2f-12", "positive argument", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("zero", "Float32")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float32")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("very small", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("zero", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 4, 63)] 1.58 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.80 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int64", 4, 31)] 0.78 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int64", 4, 64)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "manual_partition!", "Int32", 3, 31)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "two_reductions", "Float64", 2, 63)] 0.79 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("IJV", 10)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 1.07 (5%) ❌ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "equal"] 1.07 (5%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.86 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "equal"] 1.09 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1000"] 1.36 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 50000"] 1.37 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.06 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 2"] 1.07 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 0.90 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.32 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(16,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4, 4)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4,)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8,)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16, 16)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4, 4)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 0.76 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 1.21 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(8,)")] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, false)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 1.16 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Float64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, false)")] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "BigFloat", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Float64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countnothing", "Bool", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "BigFloat", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int8", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "BigFloat", 1)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, BigFloat}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Missing, Float64}", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigFloat}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigInt}", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, ComplexF64}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, Float32}", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, BigFloat}", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 0.85 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigFloat}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigFloat}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int64}", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int8}", 0)] 1.06 (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.843
Commit 9c42df6e74 (2023-11-05 12:56 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     436187 s        139 s     156066 s  105891607 s          0 s
       #2  3535 MHz    9433794 s        141 s     271132 s   96796661 s          0 s
       #3  2500 MHz     437228 s        122 s     136789 s  105827757 s          0 s
       #4  3900 MHz     359947 s        161 s     148381 s  105864731 s          0 s
       #5   800 MHz     350862 s         83 s     153136 s  105540079 s          0 s
       #6  2500 MHz     372186 s        106 s     147640 s  105925258 s          0 s
       #7   800 MHz     397733 s         59 s     168252 s  105910591 s          0 s
       #8  3900 MHz     379351 s         78 s     132363 s  105966853 s          0 s
  Memory: 31.301593780517578 GB (19385.71875 MB free)
  Uptime: 1.065962321e7 sec
  Load Avg:  1.0  1.01  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores