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Benchmark Report

Job Properties

Commits: JuliaLang/julia@c11a4fd298f471e9a9d3e8ffaa59ec4eb9f3aac2 vs JuliaLang/julia@50ad4d96847c4a8153bc9435056d8d5e70e99716

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", "structs"] 0.95 (5%) ✅ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 0.91 (5%) ✅ 1.00 (1%)
["array", "convert", ("Complex{Float64}", "Int")] 1.24 (5%) ❌ 1.00 (1%)
["array", "convert", ("Float64", "Int")] 0.66 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64}")] 0.78 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.91 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float32}")] 1.08 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 1.14 (5%) ❌ 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}")] 1.09 (50%) 1.02 (1%) ❌
["array", "index", ("sumcolon", "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}")] 1.54 (50%) ❌ 1.67 (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}")] 1.09 (50%) 1.02 (1%) ❌
["array", "index", ("sumcolon", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 1.06 (50%) 1.02 (1%) ❌
["array", "index", ("sumcolon", "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}")] 1.50 (50%) 1.67 (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}")] 1.05 (50%) 1.02 (1%) ❌
["array", "index", ("sumelt_boundscheck", "Base.ReinterpretArray{BaseBenchmarks.ArrayBenchmarks.PairVals{Int32}, 2, Int64, Matrix{Int64}, false}")] 3.43 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "Matrix{Int32}")] 3.99 (50%) ❌ 1.00 (1%)
["array", "index", ("sumelt_boundscheck", "Matrix{Int64}")] 2.11 (50%) ❌ 1.00 (1%)
["array", "index", ("sumrange", "SubArray{Float32, 2, Array{Float32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 1.16 (50%) 1.02 (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}")] 1.16 (50%) 1.02 (1%) ❌
["array", "index", ("sumrange", "SubArray{Int32, 2, Array{Int32, 3}, Tuple{Int64, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}")] 1.13 (50%) 1.02 (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}")] 1.12 (50%) 1.02 (1%) ❌
["array", "index", ("sumvector_view", "SubArray{Float32, 2, Base.ReshapedArray{Float32, 2, SubArray{Float32, 3, Array{Float32, 3}, Tuple{Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}, Base.Slice{Base.OneTo{Int64}}}, true}, Tuple{}}, Tuple{Base.Slice{Base.OneTo{Int64}}, UnitRange{Int64}}, true}")] 0.42 (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}")] 0.40 (50%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "setindex!", ("setindex!", 4)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 5)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 100)] 1.21 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 1000)] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 250)] 1.09 (5%) ❌ 1.00 (1%)
["array", "subarray", ("gramschmidt!", 500)] 1.38 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 0.90 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.92 (5%) ✅ 1.00 (1%)
["collection", "deletion", ("Set", "String", "filter!")] 1.52 (25%) ❌ 1.00 (1%)
["collection", "deletion", ("Vector", "Any", "filter!")] 0.73 (25%) ✅ 1.00 (1%)
["dates", "accessor", "millisecond"] 0.92 (5%) ✅ 1.00 (1%)
["dates", "accessor", "minute"] 0.68 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.08 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "parse", "Date"] 1.06 (5%) ❌ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 1.07 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 1.09 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 1.08 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{UInt8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float32}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "90-10")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 0.76 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "50-50")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 0.87 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.92 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{UInt64}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Bool}")] 1.16 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.14 (5%) ❌ 1.00 (1%)
["find", "findprev", ("BitVector", "90-10")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float32}")] 0.85 (5%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 0.89 (5%) ✅ 1.00 (1%)
["inference", "allinference", "many_const_calls"] 0.93 (5%) ✅ 1.00 (1%)
["inference", "optimization", "REPL.REPLCompletions.completions"] 0.90 (5%) ✅ 1.00 (1%)
["inference", "optimization", "broadcasting"] 0.95 (5%) 0.92 (1%) ✅
["inference", "optimization", "many_invoke_calls"] 0.91 (5%) ✅ 1.00 (1%)
["micro", "fib"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "23042", "ComplexF32"] 1.24 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.19 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.66 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.50 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.84 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.51 (5%) ✅ 1.00 (1%)
["misc", "perf highdim generator"] 1.37 (5%) ❌ 1.00 (1%)
["misc", "repeat", (200, 1, 24)] 1.24 (5%) ❌ 1.00 (1%)
["misc", "repeat", (200, 24, 1)] 1.14 (5%) ❌ 1.00 (1%)
["problem", "go", "go_game"] 0.95 (5%) ✅ 1.00 (1%)
["shootout", "meteor_contest"] 1.26 (5%) ❌ 1.00 (1%)
["shootout", "nbody_vec"] 0.88 (5%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 31)] 0.76 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 3, 63)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 3, 31)] 0.75 (20%) ✅ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.00 (20%) 1.03 (1%) ❌
["sort", "length = 3", "sort!(rand(2n, 2n, n); dims=1)"] 1.21 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 1.09 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 1.06 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 1000)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 1.06 (5%) ❌ 1.00 (1%)
["string", "readuntil", "target length 1"] 0.93 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 1.05 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 1.06 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat str len 16"] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.31 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(16,)")] 0.80 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4, 4)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 0.80 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4, 4)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.20 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(8,)")] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(true, true)")] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 0)] 0.83 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 1)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 0)] 0.71 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigFloat", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 0)] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "BigInt", 1)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Float32", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Float32", "(false, false)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int64", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 1.17 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 0)] 0.70 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigFloat", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "BigInt", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Float32", 1)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "BigFloat", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(false, true)")] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "ComplexF64", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 0)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 0.81 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigInt", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 1)] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "BigInt", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigFloat", 0)] 0.90 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigInt", 0)] 0.87 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int8", 0)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigFloat}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigInt}", 1)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 0.88 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigInt}", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, Int64}", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int64", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int64}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, Int64}", 0)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Bool", 0)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "BigInt", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Missing, BigInt}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("sort", "Union{Nothing, BigInt}", 0)] 0.94 (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", "issues"]
  • ["sort", "length = 10"]
  • ["sort", "length = 100"]
  • ["sort", "length = 1000"]
  • ["sort", "length = 10000"]
  • ["sort", "length = 3"]
  • ["sort", "length = 30"]
  • ["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 1.12.0-DEV.1556
Commit c11a4fd298 (2024-11-05 14:02 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     537298 s        168 s     156035 s  127760062 s          0 s
       #2  3500 MHz    4014418 s        120 s     152054 s  124291578 s          0 s
       #3  3500 MHz     384086 s        138 s      82346 s  128021051 s          0 s
       #4  3499 MHz     365560 s         82 s      83699 s  128042834 s          0 s
       #5  3503 MHz     320695 s         64 s      60631 s  128000220 s          0 s
       #6  3503 MHz     330817 s        130 s      68309 s  127364390 s          0 s
       #7  3504 MHz     370566 s         85 s      68905 s  127930090 s          0 s
       #8  3504 MHz     367526 s         76 s      72458 s  128013103 s          0 s
  Memory: 31.30147933959961 GB (19371.0234375 MB free)
  Uptime: 1.285619557e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.12.0-DEV.1554
Commit 50ad4d9684 (2024-11-05 12:53 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     538991 s        168 s     157012 s  127950196 s          0 s
       #2  3500 MHz    4205008 s        120 s     153965 s  124292637 s          0 s
       #3  3500 MHz     384738 s        138 s      82375 s  128213891 s          0 s
       #4  3500 MHz     365749 s         82 s      83713 s  128236166 s          0 s
       #5  3500 MHz     320750 s         64 s      60639 s  128193538 s          0 s
       #6  3500 MHz     330893 s        130 s      68319 s  127557553 s          0 s
       #7  3502 MHz     370609 s         85 s      68914 s  128123579 s          0 s
       #8  3503 MHz     367597 s         76 s      72472 s  128206536 s          0 s
  Memory: 31.30147933959961 GB (19481.03125 MB free)
  Uptime: 1.287555155e7 sec
  Load Avg:  1.0  1.04  1.01
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)