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Benchmark Report

Job Properties

Commit: JuliaLang/julia@a6e6fc9ff3d073006a0222c04bf9b4136abd4c35

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-02-16 vs 2023-02-14

Results

Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.

Below is a table of this job's results, obtained by running the benchmarks found in JuliaCI/BaseBenchmarks.jl. The values listed in the ID column have the structure [parent_group, child_group, ..., key], and can be used to index into the BaseBenchmarks suite to retrieve the corresponding benchmarks.

The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.

A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["array", "accumulate", ("accumulate!", "Int")] 1.20 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("accumulate", "Int")] 0.95 (5%) ✅ 1.00 (1%)
["array", "cat", "4467"] 1.21 (5%) ❌ 1.00 (1%)
["array", "cat", ("catnd", 5)] 1.05 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.09 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 0.87 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.84 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float32}")] 1.05 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Float64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 0.93 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["broadcast", "typeargs", ("tuple", 10)] 1.08 (5%) ❌ 1.00 (1%)
["dates", "accessor", "millisecond"] 1.08 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.91 (5%) ✅ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 1.15 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "DateFormat")] 1.17 (5%) ❌ 1.00 (1%)
["dates", "query", ("dayofyear", "DateTime")] 0.44 (25%) ✅ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int64}")] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "broadcasting"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_invoke_calls"] 1.09 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "rand(Float64)"] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "sin(42)"] 1.09 (5%) ❌ 1.00 (1%)
["inference", "allinference", "many_const_calls"] 1.07 (5%) ❌ 1.00 (1%)
["inference", "allinference", "many_invoke_calls"] 1.10 (5%) ❌ 1.00 (1%)
["inference", "allinference", "sin(42)"] 1.08 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_invoke_calls"] 1.07 (5%) ❌ 1.00 (1%)
["inference", "optimization", "many_method_matches"] 1.06 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.88 (5%) ✅ 1.00 (1%)
["micro", "fib"] 1.17 (5%) ❌ 1.00 (1%)
["misc", "23042", "ComplexF32"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "23042", "Float64"] 1.05 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.65 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 1.53 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.09 (5%) ❌ 1.00 (1%)
["misc", "fastmath many args"] 0.92 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 0.30 (5%) ✅ 1.00 (1%)
["misc", "perf highdim generator"] 1.09 (5%) ❌ 1.00 (1%)
["problem", "go", "go_game"] 1.27 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float32")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("one", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acosh", ("very large", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "arithmetic", ("div", "Float32", "ComplexF64")] 3.70 (50%) ❌ 1.00 (1%)
["scalar", "asin", ("0.5 <= abs(x) < 0.975", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "negative argument", "Float32")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("abs(x) < 0.5", "positive argument", "Float32")] 1.13 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("one", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("one", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "asin", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("small", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asin", ("zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "negative argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "atan", ("very large", "negative argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float32")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "atan", ("very large", "positive argument", "Float64")] 0.94 (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", "atan", ("zero", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x positive", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 1.33 (5%) ❌ 1.00 (1%)
["scalar", "atanh", ("very small", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("very large", "positive argument", "Float32")] 0.40 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("one", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("small", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "exp2", ("zero", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction I", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction I", "positive argument", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction I", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("arg reduction II", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("huge", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("medium", "positive argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("one", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "expm1", ("zero", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "mod2pi", ("argument reduction (easy) abs(x) > 2.0^20*π/2", "negative argument", "Float64")] 0.66 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64")] 1.17 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64")] 1.05 (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) < 9π/4", "positive argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float32")] 2.72 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64")] 2.74 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float32")] 2.72 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32")] 1.26 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("small", "positive argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tan", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2.0^-28", "negative argument", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2.0^-28", "positive argument", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("2.0^-28 <= abs(x) < 1.0", "negative argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("2.0^-28 <= abs(x) < 1.0", "positive argument", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very small", "negative argument", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very small", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("zero", "Float64")] 0.87 (5%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 0.54 (20%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 10)] 0.92 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Bidiagonal", 100)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.90 (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", ("IJV", 100)] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 10)] 0.88 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 10)] 0.90 (5%) ✅ 1.00 (1%)
["string", "readuntil", "target length 2"] 0.90 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 1"] 0.94 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat char 2"] 0.94 (5%) ✅ 1.00 (1%)
["string", "repeat", "repeat str len 1"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(16, 16)", "(16, 16)")] 1.11 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.64 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.74 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.24 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 1.19 (5%) ❌ 1.00 (1%)
["tuple", "misc", "longtuple"] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 0.84 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(8,)")] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(16,)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Bool", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Bool", 1)] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 1.15 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 0)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float64", 1)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Bool", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "ComplexF64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Float32", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Float64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Int64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, Bool}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Missing, Int8}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, BigFloat}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, BigInt}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Bool}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, ComplexF64}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Float32}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Float64}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Int64}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Int8}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "BigInt", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Bool", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "ComplexF64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Float32", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Float64", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Int64", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigFloat}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Missing, BigInt}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, BigFloat}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, BigInt}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Bool}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, ComplexF64}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Float32}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Float64}", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Int64}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Int8}", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int8}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, ComplexF64}", 0)] 0.90 (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 1.10.0-DEV.621
Commit a6e6fc9ff3 (2023-02-16 13:25 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.1 LTS
  uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3900 MHz      63744 s       3228 s      58219 s   11892329 s          0 s
       #2  3900 MHz    1293266 s       1780 s      66685 s   10681845 s          0 s
       #3  3510 MHz      70151 s       1521 s      49745 s   11915650 s          0 s
       #4  3900 MHz      46652 s       1789 s      45206 s   11929661 s          0 s
  Memory: 31.313323974609375 GB (19563.953125 MB free)
  Uptime: 1.20677054e6 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores