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Benchmark Report

Job Properties

Commits: JuliaLang/julia@e493dc1029c19a7d8e1112daf0d7595367e11d63 vs JuliaLang/julia@5c891de4bc718c27a52bba306411bd10bc1bd71c

Comparison Diff: link

Triggered By: link

Tag Predicate: ALL

Results

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

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

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

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

ID time ratio memory ratio
["alloc", "arrays"] 1.09 (5%) ❌ 1.00 (1%)
["alloc", "grow_array"] 0.52 (5%) ✅ 1.00 (1%)
["alloc", "strings"] 1.27 (5%) ❌ 1.00 (1%)
["alloc", "structs"] 1.08 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 0.84 (5%) ✅ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.37 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.19 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.92 (5%) ✅ 1.00 (1%)
["array", "growth", ("push_multiple!", 8)] 1.10 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 2048)] 1.10 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 256)] 1.09 (5%) ❌ 1.00 (1%)
["array", "growth", ("push_single!", 8)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 4)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 100)] 1.07 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 1000)] 1.08 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 250)] 1.08 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivCopy!", 500)] 1.09 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 1000)] 1.06 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 250)] 1.05 (5%) ❌ 1.00 (1%)
["array", "subarray", ("lucompletepivSub!", 500)] 1.06 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 1)] 1.15 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000000,)", 2)] 1.15 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup_x3")] 2.82 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 0.88 (5%) ✅ 1.00 (1%)
["collection", "deletion", ("Set", "Int", "filter!")] 0.75 (25%) ✅ 1.00 (1%)
["collection", "queries & updates", ("Dict", "Any", "in", "false")] 0.74 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "big")] 0.62 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "symdiff!", "small")] 0.63 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "big")] 0.62 (25%) ✅ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "union!", "small")] 0.63 (25%) ✅ 1.00 (1%)
["dates", "accessor", "month"] 0.88 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Lowercase")] 1.06 (5%) ❌ 1.00 (1%)
["dates", "string", "Date"] 1.09 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("BitVector", "50-50")] 0.90 (5%) ✅ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "10-90")] 1.15 (5%) ❌ 1.00 (1%)
["find", "findall", ("Vector{Bool}", "90-10")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Bool}")] 0.95 (5%) ✅ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 0.91 (5%) ✅ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float64}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{UInt8}")] 1.05 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "Base.init_stdio(::Ptr{Cvoid})"] 1.14 (5%) ❌ 1.15 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 0.95 (5%) ✅ 1.00 (1%)
["inference", "allinference", "Base.init_stdio(::Ptr{Cvoid})"] 1.15 (5%) ❌ 1.17 (1%) ❌
["inference", "allinference", "many_const_calls"] 0.96 (5%) 0.99 (1%) ✅
["inference", "allinference", "rand(Float64)"] 0.95 (5%) ✅ 0.98 (1%) ✅
["inference", "allinference", "sin(42)"] 0.94 (5%) ✅ 0.98 (1%) ✅
["io", "read", "readstring"] 1.73 (5%) ❌ 1.00 (1%)
["misc", "afoldl", "Complex{Float64}"] 1.38 (5%) ❌ 1.00 (1%)
["misc", "afoldl", "Int"] 0.93 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 0.66 (5%) ✅ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.66 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("Int", "Int")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("Int", "UInt")] 1.08 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt", "UInt")] 1.17 (5%) ❌ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 0.84 (5%) ✅ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 0.90 (5%) ✅ 1.00 (1%)
["misc", "julia", ("macroexpand", "evalpoly")] 1.09 (5%) ❌ 1.00 (1%)
["misc", "perf highdim generator"] 1.08 (5%) ❌ 1.00 (1%)
["problem", "monte carlo", "euro_option_vec"] 1.07 (5%) ❌ 1.00 (1%)
["random", "collections", ("rand!", "ImplicitRNG", "large BitSet")] 0.73 (25%) ✅ 1.00 (1%)
["random", "collections", ("rand!", "ImplicitRNG", "small BitSet")] 0.72 (25%) ✅ 1.00 (1%)
["scalar", "acos", ("0.5 <= abs(x) < 1", "negative argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("0 <= abs(x) < 2^-28", "negative argument", "Float64")] 1.66 (5%) ❌ 1.00 (1%)
["scalar", "asinh", ("very large", "negative argument", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very large", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y positive", "x negative", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("x one", "Float32")] 0.67 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("0.5 <= abs(x) < 1", "positive argument", "Float64")] 0.89 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "negative argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float32", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "negative argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (paynehanek) abs(x) > 2.0^20*π/2", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float32")] 0.87 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float64")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "negative argument", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("2.7755602085408512e-17 <= abs(x) < 22.0", "positive argument", "Float64")] 1.14 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cosh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow1023", "positive argument", "Float64")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "positive argument", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 6π/4", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float64", "cos_kernel")] 1.09 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 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")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float32")] 0.85 (5%) ✅ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "negative argument", "Float64")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("2.0^-28 <= abs(x) < 22.0", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "negative argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "sinh", ("22.0 <= abs(x) < 709.7822265633563", "positive argument", "Float64")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "negative argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "negative argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("medium", "positive argument", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("1.0 <= abs(x) < 22.0", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["shootout", "k_nucleotide"] 1.11 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Float32", 2, 64)] 0.71 (20%) ✅ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int32", 2, 63)] 1.21 (20%) ❌ 1.00 (1%)
["simd", ("Cartesian", "inner", "Int32", 2, 31)] 0.77 (20%) ✅ 1.00 (1%)
["sort", "issues", "partialsort!(rand(10_000), 1:3, rev=true)"] 1.00 (20%) 1.04 (1%) ❌
["sort", "length = 3", "all same"] 0.78 (20%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 0.85 (5%) ✅ 1.00 (1%)
["string", "==(::SubString, ::String)", "equal"] 1.37 (5%) ❌ 1.00 (1%)
["string", "findfirst", "Char"] 0.94 (5%) ✅ 1.00 (1%)
["string", "findfirst", "String"] 1.15 (5%) ❌ 1.00 (1%)
["string", "repeat", "repeat char 1"] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.23 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 1.13 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 0.83 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.25 (5%) ❌ 1.00 (1%)
["tuple", "misc", "11899"] 0.91 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("minimum", "(2, 2)")] 1.06 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.88 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(true, true)")] 1.14 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "ComplexF64", "(false, true)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Float32", "(true, true)")] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "BigFloat", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.28 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigFloat", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "BigInt", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Float32", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "all", "Int64", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Bool", "(false, true)")] 0.91 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "ComplexF64", "(false, false)")] 0.82 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(false, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "*", "Int8", "(true, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Float64", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "identity", "Int64", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Bool", "(true, true)")] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float32", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int64", "(true, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Int8", "(false, true)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "BigFloat", 1)] 1.09 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 0)] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Int8", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Int8", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum3", "Int64", 1)] 0.86 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum4", "Int8", 1)] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "filter", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Int8}", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Int8", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, BigFloat}", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Nothing, BigFloat}", 0)] 1.05 (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", "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.218
Commit e493dc1029 (2024-03-19 14:39 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  3501 MHz     837808 s        252 s     178825 s  221037654 s          0 s
       #2  3500 MHz    8710055 s        491 s     293522 s  212943526 s          0 s
       #3  3498 MHz     823364 s        262 s     220140 s  221013799 s          0 s
       #4  3500 MHz     682725 s        218 s     162504 s  221020713 s          0 s
       #5  3501 MHz     706124 s        239 s     207251 s  220194853 s          0 s
       #6  3503 MHz     729049 s        162 s     191035 s  221039360 s          0 s
       #7  3501 MHz     794694 s        250 s     183690 s  221000959 s          0 s
       #8  3504 MHz     760008 s        248 s     224699 s  221061763 s          0 s
  Memory: 31.301593780517578 GB (19346.72265625 MB free)
  Uptime: 2.222373969e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Comparison Build

Julia Version 1.12.0-DEV.216
Commit 5c891de4bc (2024-03-19 14:39 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  3501 MHz     838771 s        252 s     179039 s  221180079 s          0 s
       #2  3500 MHz    8850628 s        491 s     295768 s  212944600 s          0 s
       #3  3500 MHz     823795 s        262 s     220151 s  221157232 s          0 s
       #4  3666 MHz     682764 s        218 s     162510 s  221164436 s          0 s
       #5  3501 MHz     706234 s        239 s     207257 s  220338387 s          0 s
       #6  3502 MHz     729107 s        162 s     191039 s  221183182 s          0 s
       #7  3501 MHz     795010 s        250 s     183700 s  221144506 s          0 s
       #8  3503 MHz     760107 s        248 s     224707 s  221205541 s          0 s
  Memory: 31.301593780517578 GB (19419.02734375 MB free)
  Uptime: 2.223812911e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)