Skip to content

Latest commit

 

History

History
347 lines (328 loc) · 21.7 KB

report.md

File metadata and controls

347 lines (328 loc) · 21.7 KB
Raw

Benchmark Report

Job Properties

Commit: JuliaLang/julia@d90fa45c6ac5da8398e6864128579df48edbf00c

Comparison Range: link

Triggered By: link

Tag Predicate: ALL

Daily Job: 2023-12-14 vs 2023-12-13

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", "grow_array"] 1.06 (5%) ❌ 1.00 (1%)
["alloc", "strings"] 1.12 (5%) ❌ 1.00 (1%)
["array", "accumulate", ("cumsum!", "Int")] 1.17 (5%) ❌ 1.00 (1%)
["array", "any/all", ("any", "Vector{Int64} generator")] 0.86 (5%) ✅ 1.00 (1%)
["array", "bool", "bitarray_true_fill!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "bool", "boolarray_bool_load!"] 1.06 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "BitArray")] 1.06 (5%) ❌ 1.00 (1%)
["array", "index", "3d"] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_mapreduce", "Int64")] 1.07 (5%) ❌ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "dotop", ("Float64", "(1000, 1000)", 2)] 1.13 (5%) ❌ 1.00 (1%)
["collection", "set operations", ("BitSet", "Int", "intersect", "BitSet", "BitSet")] 0.79 (25%) 0.95 (1%) ✅
["collection", "set operations", ("BitSet", "Int", "intersect", "Vector", "Vector")] 0.91 (25%) 0.99 (1%) ✅
["dates", "accessor", "millisecond"] 0.85 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("Date", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Day")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Hour")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Millisecond")] 0.91 (5%) ✅ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Minute")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "arithmetic", ("DateTime", "Second")] 1.10 (5%) ❌ 1.00 (1%)
["dates", "conversion", "Date -> DateTime"] 0.82 (5%) ✅ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 1.05 (5%) ❌ 1.00 (1%)
["dates", "parse", ("DateTime", "ISODateTimeFormat")] 0.95 (5%) ✅ 1.00 (1%)
["dates", "parse", ("DateTime", "RFC1123Format", "Mixedcase")] 1.14 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{Float32}")] 1.25 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Float64}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int8}")] 1.11 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "many_opaque_closures"] 1.03 (5%) 1.02 (1%) ❌
["inference", "allinference", "REPL.REPLCompletions.completions"] 0.98 (5%) 0.99 (1%) ✅
["io", "array_limit", ("display", "Matrix{Float64}(10000, 10000)")] 1.07 (5%) ❌ 1.00 (1%)
["io", "serialization", ("deserialize", "Matrix{Float64}")] 0.94 (5%) ✅ 1.00 (1%)
["micro", "fib"] 0.89 (5%) ✅ 1.00 (1%)
["misc", "afoldl", "Int"] 1.07 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "conditional"] 1.16 (5%) ❌ 1.00 (1%)
["misc", "allocation elision view", "no conditional"] 0.79 (5%) ✅ 1.00 (1%)
["misc", "bitshift", ("UInt32", "UInt32")] 1.20 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...))"] 1.11 (5%) ❌ 1.00 (1%)
["misc", "perf highdim generator"] 1.05 (5%) ❌ 1.00 (1%)
["problem", "laplacian", "laplace_iter_sub"] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "acos", ("one", "negative argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("one", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "acos", ("small", "positive argument", "Float32")] 0.86 (5%) ✅ 1.00 (1%)
["scalar", "arithmetic", ("div", "Float32", "ComplexF64")] 0.26 (50%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("very small", "positive argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "asinh", ("zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y infinite", "y negative", "x finite", "x negative", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) high", "y negative", "x negative", "Float32")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("abs(y/x) safe (large)", "y positive", "x negative", "Float32")] 3.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("x one", "Float64")] 1.59 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y finite", "y positive", "x infinite", "x positive", "Float64")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x negative", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x finite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y negative", "x infinite", "x positive", "Float32")] 1.10 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x negative", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x finite", "x positive", "Float32")] 0.91 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x negative", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y infinite", "y positive", "x infinite", "x positive", "Float64")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x negative", "Float32")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y negative", "x positive", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x negative", "Float32")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "atan2", ("y zero", "y positive", "x positive", "Float32")] 0.88 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("one", "Float64")] 0.92 (5%) ✅ 1.00 (1%)
["scalar", "atanh", ("zero", "Float64")] 0.93 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "negative argument", "Float32")] 0.84 (5%) ✅ 1.00 (1%)
["scalar", "cbrt", ("large", "positive argument", "Float32")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float32")] 1.21 (5%) ❌ 1.00 (1%)
["scalar", "cbrt", ("zero", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float32", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float32", "sin_kernel")] 1.12 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float64", "cos_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float32", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 5π/4", "positive argument", "Float64", "cos_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float32", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32", "cos_kernel")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "cos", ("no reduction", "zero", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow127", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "exp2", ("2pow35", "positive argument", "Float64")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "expm1", ("large", "positive argument", "Float64")] 0.90 (5%) ✅ 1.00 (1%)
["scalar", "rem_pio2", ("argument reduction (hard) abs(x) < 8π/4", "positive argument", "Float64")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2.0^20π/4", "negative argument", "Float64", "sin_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 2π/4", "positive argument", "Float64", "cos_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 3π/4", "positive argument", "Float64", "cos_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 7π/4", "positive argument", "Float32", "sin_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "negative argument", "Float64", "sin_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 8π/4", "positive argument", "Float64", "sin_kernel")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "negative argument", "Float64", "sin_kernel")] 1.06 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (easy) abs(x) < 9π/4", "positive argument", "Float64", "sin_kernel")] 1.08 (5%) ❌ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 2π/4", "negative argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("argument reduction (hard) abs(x) < 6π/4", "positive argument", "Float32", "cos_kernel")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "sin", ("no reduction", "zero", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "sincos", ("argument reduction (easy) abs(x) < 4π/4", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "negative argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "sincos", ("argument reduction (hard) abs(x) < 4π/4", "positive argument", "Float32")] 1.05 (5%) ❌ 1.00 (1%)
["scalar", "tan", ("large", "positive argument", "Float64")] 0.94 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("0 <= abs(x) < 2f0^-12", "negative argument", "Float32")] 0.95 (5%) ✅ 1.00 (1%)
["scalar", "tanh", ("very large", "negative argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "negative argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float32")] 1.07 (5%) ❌ 1.00 (1%)
["scalar", "tanh", ("very large", "positive argument", "Float64")] 1.11 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "conditional_loop!", "Int64", 4, 31)] 0.77 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 63)] 1.27 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Float64", 4, 31)] 1.38 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "inner", "Int32", 2, 31)] 0.62 (20%) ✅ 1.00 (1%)
["sparse", "transpose", ("adjoint", "(600, 600)")] 0.68 (30%) ✅ 1.00 (1%)
["sparse", "transpose", ("transpose", "(20000, 10000)")] 2.13 (30%) ❌ 1.00 (1%)
["string", "readuntil", "target length 2"] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(2, 2)", "(2, 2)")] 1.10 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(4, 4)", "(4, 4)")] 0.81 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matmat", "(8, 8)", "(8, 8)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.89 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(2, 2)", "(2,)")] 0.78 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(4, 4)", "(4,)")] 1.08 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4, 4)")] 0.92 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.94 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(8, 8)")] 1.29 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(8,)")] 1.18 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(4,)")] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "*", "Int64", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("map", "identity", "Int8", 1)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(false, true)")] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_binaryop", "*", "Float64", "(true, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "ComplexF64", 1)] 0.89 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Int8", 0)] 1.08 (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{Missing, Int64}", 1)] 1.06 (5%) ❌ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["alloc"]
  • ["array", "accumulate"]
  • ["array", "any/all"]
  • ["array", "bool"]
  • ["array", "cat"]
  • ["array", "comprehension"]
  • ["array", "convert"]
  • ["array", "equality"]
  • ["array", "growth"]
  • ["array", "index"]
  • ["array", "reductions"]
  • ["array", "reverse"]
  • ["array", "setindex!"]
  • ["array", "subarray"]
  • ["broadcast"]
  • ["broadcast", "dotop"]
  • ["broadcast", "fusion"]
  • ["broadcast", "mix_scalar_tuple"]
  • ["broadcast", "sparse"]
  • ["broadcast", "typeargs"]
  • ["collection", "deletion"]
  • ["collection", "initialization"]
  • ["collection", "iteration"]
  • ["collection", "optimizations"]
  • ["collection", "queries & updates"]
  • ["collection", "set operations"]
  • ["dates", "accessor"]
  • ["dates", "arithmetic"]
  • ["dates", "construction"]
  • ["dates", "conversion"]
  • ["dates", "parse"]
  • ["dates", "query"]
  • ["dates", "string"]
  • ["find", "findall"]
  • ["find", "findnext"]
  • ["find", "findprev"]
  • ["frontend"]
  • ["inference", "abstract interpretation"]
  • ["inference", "allinference"]
  • ["inference", "optimization"]
  • ["io", "array_limit"]
  • ["io", "read"]
  • ["io", "serialization"]
  • ["io"]
  • ["linalg", "arithmetic"]
  • ["linalg", "blas"]
  • ["linalg", "factorization"]
  • ["linalg"]
  • ["micro"]
  • ["misc"]
  • ["misc", "23042"]
  • ["misc", "afoldl"]
  • ["misc", "allocation elision view"]
  • ["misc", "bitshift"]
  • ["misc", "foldl"]
  • ["misc", "issue 12165"]
  • ["misc", "iterators"]
  • ["misc", "julia"]
  • ["misc", "parse"]
  • ["misc", "repeat"]
  • ["misc", "splatting"]
  • ["problem", "chaosgame"]
  • ["problem", "fem"]
  • ["problem", "go"]
  • ["problem", "grigoriadis khachiyan"]
  • ["problem", "imdb"]
  • ["problem", "json"]
  • ["problem", "laplacian"]
  • ["problem", "monte carlo"]
  • ["problem", "raytrace"]
  • ["problem", "seismic"]
  • ["problem", "simplex"]
  • ["problem", "spellcheck"]
  • ["problem", "stockcorr"]
  • ["problem", "ziggurat"]
  • ["random", "collections"]
  • ["random", "randstring"]
  • ["random", "ranges"]
  • ["random", "sequences"]
  • ["random", "types"]
  • ["scalar", "acos"]
  • ["scalar", "acosh"]
  • ["scalar", "arithmetic"]
  • ["scalar", "asin"]
  • ["scalar", "asinh"]
  • ["scalar", "atan"]
  • ["scalar", "atan2"]
  • ["scalar", "atanh"]
  • ["scalar", "cbrt"]
  • ["scalar", "cos"]
  • ["scalar", "cosh"]
  • ["scalar", "exp2"]
  • ["scalar", "expm1"]
  • ["scalar", "fastmath"]
  • ["scalar", "floatexp"]
  • ["scalar", "intfuncs"]
  • ["scalar", "iteration"]
  • ["scalar", "mod2pi"]
  • ["scalar", "predicate"]
  • ["scalar", "rem_pio2"]
  • ["scalar", "sin"]
  • ["scalar", "sincos"]
  • ["scalar", "sinh"]
  • ["scalar", "tan"]
  • ["scalar", "tanh"]
  • ["shootout"]
  • ["simd"]
  • ["sort", "insertionsort"]
  • ["sort", "issorted"]
  • ["sort", "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 1.11.0-DEV.1069
Commit d90fa45c6a (2023-12-10 15:45 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   900 MHz     645475 s        187 s     175821 s  138332597 s          0 s
       #2  3516 MHz   12498609 s        173 s     331999 s  126348278 s          0 s
       #3  2500 MHz     604620 s        162 s     149339 s  138326553 s          0 s
       #4   800 MHz     499068 s        182 s     160004 s  138366370 s          0 s
       #5   800 MHz     496228 s         97 s     164307 s  137954308 s          0 s
       #6   800 MHz     522413 s        136 s     158830 s  138427646 s          0 s
       #7   800 MHz     550935 s         95 s     179966 s  138417697 s          0 s
       #8   800 MHz     531936 s         99 s     144414 s  138473902 s          0 s
  Memory: 31.301593780517578 GB (19311.71875 MB free)
  Uptime: 1.392906113e7 sec
  Load Avg:  1.0  1.0  1.0
  WORD_SIZE: 64
  LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
  Threads: 1 on 8 virtual cores