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Benchmark Report

Job Properties

Commits: JuliaLang/julia@3105aadf377050edd447d3fa3078ef7913928f69 vs JuliaLang/julia@54e68997108d33a6478bc1bfbbc2b7d1ea072202

Comparison Diff: link

Triggered By: link

Tag Predicate: !"scalar"

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"] 0.94 (5%) ✅ 1.00 (1%)
["array", "cat", ("catnd", 5)] 1.05 (5%) ❌ 1.00 (1%)
["array", "cat", ("hvcat_setind", 5)] 1.88 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 0.87 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 1.13 (5%) ❌ 1.00 (1%)
["array", "index", "sub2ind"] 1.55 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "BaseBenchmarks.ArrayBenchmarks.ArrayLF{Int32, 2}")] 1.51 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 1.58 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 1.60 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.41 (50%) ✅ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.75 (50%) ❌ 1.00 (1%)
["array", "index", ("sumcolon_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.75 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "100000:-1:1")] 2.75 (50%) ❌ 1.00 (1%)
["array", "index", ("sumlinear_view", "1:100000")] 0.41 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "BaseBenchmarks.ArrayBenchmarks.ArrayLSLS{Int32, 2}")] 1.62 (50%) ❌ 1.00 (1%)
["array", "index", ("sumrange_view", "BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}")] 1.61 (50%) ❌ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 0.37 (50%) ✅ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 2}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.77 (50%) ❌ 1.00 (1%)
["array", "index", ("sumrange_view", "SubArray{Int32, 2, BaseBenchmarks.ArrayBenchmarks.ArrayLS{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, false}")] 1.75 (50%) ❌ 1.00 (1%)
["array", "index", ("sumvector_view", "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}")] 1.63 (50%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 100)] 1.27 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 1000)] 1.11 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 250)] 1.15 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 500)] 1.91 (5%) ❌ 1.00 (1%)
["broadcast", "26942"] 1.18 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 6.21 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 1)] 1.53 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.69 (5%) ❌ 1.00 (1%)
["broadcast", "fusion", ("Float64", "(1000, 1000)", 2)] 1.79 (5%) ❌ 1.00 (1%)
["broadcast", "fusion", ("Float64", "(1000000,)", 1)] 1.78 (5%) ❌ 1.00 (1%)
["broadcast", "fusion", ("Float64", "(1000000,)", 2)] 1.79 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 3)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("array", 5)] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 0.91 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 5)] 0.73 (5%) ✅ 1.00 (1%)
["collection", "deletion", ("Set", "Int", "filter!")] 1.84 (25%) ❌ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 0.66 (25%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Year")] 0.82 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 1.51 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float64}")] 1.29 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 1.45 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt64}")] 1.30 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 1.45 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 1.66 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 1.30 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 1.55 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt64}")] 1.33 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 1.53 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float32}")] 1.84 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Float64}")] 1.39 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int8}")] 1.65 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt64}")] 1.36 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{UInt8}")] 1.67 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 1.89 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float64}")] 1.42 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 1.71 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt64}")] 1.36 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{UInt8}")] 1.72 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 1.35 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float64}")] 1.19 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int64}")] 1.31 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 1.63 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 1.25 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt8}")] 1.43 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("BitVector", "10-90")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "domsort_ssa!"] 0.97 (5%) 1.02 (1%) ❌
["inference", "abstract interpretation", "many_invoke_calls"] 0.92 (5%) ✅ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 0.99 (5%) 1.01 (1%) ❌
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] 0.94 (5%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("*", "typename(SymTridiagonal)", "typename(SymTridiagonal)", 1024)] 0.24 (45%) ✅ 1.00 (1%)
["linalg", "arithmetic", ("+", "Matrix", "Matrix", 256)] 1.52 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(Diagonal)", "typename(Diagonal)", 1024)] 1.46 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(LowerTriangular)", "typename(LowerTriangular)", 256)] 1.49 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(SymTridiagonal)", "typename(SymTridiagonal)", 1024)] 1.50 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("+", "typename(UpperTriangular)", "typename(UpperTriangular)", 256)] 1.52 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("-", "Matrix", "Matrix", 256)] 1.48 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(Bidiagonal)", "typename(Bidiagonal)", 1024)] 1.48 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(LowerTriangular)", "typename(LowerTriangular)", 256)] 1.53 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(SymTridiagonal)", "typename(SymTridiagonal)", 1024)] 1.50 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("-", "typename(UpperTriangular)", "typename(UpperTriangular)", 256)] 1.53 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("/", "typename(Diagonal)", "typename(Diagonal)", 1024)] 1.66 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("/", "typename(Diagonal)", "typename(Diagonal)", 256)] 1.50 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("\\", "typename(Diagonal)", "Vector", 1024)] 1.66 (45%) ❌ 1.00 (1%)
["linalg", "arithmetic", ("\\", "typename(Diagonal)", "Vector", 256)] 1.49 (45%) ❌ 1.00 (1%)
["linalg", "small exp #29116"] 0.81 (5%) ✅ 1.00 (1%)
["micro", "pisum"] 0.60 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Int"] 0.31 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.73 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.53 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 1.06 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 0.94 (5%) ✅ 1.00 (1%)
["misc", "iterators", "zip(1:1000, 1:1000, 1:1000)"] 0.93 (5%) ✅ 1.00 (1%)
["problem", "laplacian", "laplace_iter_devec"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 1.10 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_vec"] 1.28 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.09 (5%) ❌ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "large Vector")] 0.65 (25%) ✅ 1.00 (1%)
["random", "collections", ("rand", "ImplicitRNG", "small Vector")] 0.65 (25%) ✅ 1.00 (1%)
["random", "ranges", ("rand", "ImplicitRNG", "Int", "1:1000")] 0.65 (25%) ✅ 1.00 (1%)
["shootout", "nbody_vec"] 1.10 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 2, 32)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 3, 32)] 1.69 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 3, 63)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 3, 64)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 3, 31)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 3, 32)] 1.38 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 3, 63)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float64", 3, 64)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 3, 32)] 1.61 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int32", 3, 64)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 3, 32)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 31)] 2.13 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Float64", 3, 64)] 1.36 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Float64", 4, 64)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 3, 31)] 1.27 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 3, 32)] 1.57 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 3, 63)] 1.33 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 3, 64)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 4, 31)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 4, 32)] 1.47 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 4, 64)] 1.41 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int64", 3, 31)] 1.35 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int64", 3, 32)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int64", 4, 31)] 1.23 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int64", 4, 32)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float32", 3, 32)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Float64", 3, 32)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 3, 31)] 1.44 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 3, 32)] 1.36 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 3, 63)] 1.33 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int32", 3, 64)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int64", 2, 31)] 1.22 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "manual_example!", "Int64", 3, 31)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float32", 3, 32)] 1.24 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float32", 3, 64)] 1.38 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float64", 3, 32)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Float64", 3, 64)] 1.30 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 2, 32)] 1.26 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 3, 31)] 1.45 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 3, 32)] 1.42 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 3, 63)] 1.28 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "two_reductions", "Int64", 3, 64)] 1.24 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 1.05 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "matmul", ("Ac_mul_B!", "sparse 200x2000, dense 200x20 -> dense 2000x20")] 0.59 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x50 -> dense 5x50")] 0.61 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x500 -> dense 5x500")] 0.56 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 0.54 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x50, sparse 50x50 -> dense 50x50")] 0.58 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 5x5, sparse 5x500 -> dense 5x500")] 0.58 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 5x50, sparse 5x50 -> dense 50x50")] 0.61 (30%) ✅ 1.00 (1%)
["string", "==(::AbstractString, ::AbstractString)", "different"] 0.92 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different"] 0.83 (5%) ✅ 1.00 (1%)
["string", "readuntil", "backtracking"] 0.95 (5%) ✅ 1.00 (1%)
["string", "readuntil", "barbarian backtrack"] 0.94 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 1000"] 0.87 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.94 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 50000"] 0.93 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 1.12 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16, 16)")] 2.29 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.17 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(16,)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.24 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, false)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, false)")] 1.57 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 1.37 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, false)")] 1.57 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(false, true)")] 1.35 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float64", "(true, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, false)")] 1.57 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(false, true)")] 1.32 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int64", "(true, true)")] 1.31 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, false)")] 1.59 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 1.25 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.40 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "ComplexF64", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "ComplexF64", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.29 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float64", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 1.39 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "ComplexF64", 1)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 1.33 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float64", 1)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int64", 1)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 1.39 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, false)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(true, true)")] 1.23 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 1.18 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "ComplexF64")] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_countequals", "Int64")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Bool", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Bool", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int64", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, ComplexF64}", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float32}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "ComplexF64", 0)] 2.10 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Float32", 0)] 1.55 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Float64", 0)] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Int64", 0)] 1.27 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Int8", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Bool}", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Float32}", 1)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Float64}", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Int64}", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, Int8}", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Bool}", 0)] 1.30 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Float32}", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Float64}", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int64}", 0)] 1.22 (5%) ❌ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, Int8}", 0)] 1.25 (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"]
  • ["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 1.9.0-DEV.1642
Commit 3105aadf37 (2022-10-23 19:58 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  2639 MHz     181753 s        375 s      42014 s   64597122 s          0 s
       #2  3009 MHz    4598966 s        126 s     139749 s   60123971 s          0 s
       #3  2936 MHz     213419 s        177 s      34189 s   64612435 s          0 s
       #4  3411 MHz     154159 s        184 s      33186 s   64632174 s          0 s
       #5  2921 MHz     196431 s         78 s      33413 s   64293804 s          0 s
       #6  3444 MHz     162946 s        138 s      32833 s   64652309 s          0 s
       #7  3465 MHz     202438 s        224 s      33842 s   64627137 s          0 s
       #8  2990 MHz     186254 s        131 s      33018 s   64619160 s          0 s
  Memory: 31.320838928222656 GB (16930.48828125 MB free)
  Uptime: 6.49161225e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores

Comparison Build

Julia Version 1.9.0-DEV.1637
Commit 54e6899710 (2022-10-23 04:10 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.4 LTS
  uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3168 MHz     182376 s        375 s      42184 s   64698286 s          0 s
       #2  3150 MHz    4696748 s        126 s     142211 s   60125929 s          0 s
       #3  3117 MHz     213916 s        177 s      34204 s   64714108 s          0 s
       #4  2965 MHz     154200 s        184 s      33192 s   64734240 s          0 s
       #5  3000 MHz     196482 s         78 s      33419 s   64395801 s          0 s
       #6  2671 MHz     163004 s        138 s      32839 s   64754446 s          0 s
       #7  3276 MHz     202927 s        224 s      33853 s   64728830 s          0 s
       #8  3147 MHz     186658 s        131 s      33027 s   64720938 s          0 s
  Memory: 31.320838928222656 GB (17283.11328125 MB free)
  Uptime: 6.50183261e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores