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Benchmark Report

Job Properties

Commits: ianatol/julia@0c08729cabc1c52fb001bd1a766204e8ffdf4737 vs JuliaLang/julia@902a5c199d590552758f7a91cc75c47ea67de5f2

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
["array", "bool", "boolarray_bool_load!"] 0.94 (5%) ✅ 1.00 (1%)
["array", "comprehension", ("collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.82 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("collect", "Vector{Float64}")] 4.29 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.82 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_collect", "Vector{Float64}")] 2.35 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_indexing", "Vector{Float64}")] 1.39 (30%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}")] 1.24 (5%) ❌ 1.00 (1%)
["array", "comprehension", ("comprehension_iteration", "Vector{Float64}")] 1.42 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "UnitRange{Int64}")] 1.10 (5%) ❌ 1.00 (1%)
["array", "equality", ("==", "Vector{Int64} == UnitRange{Int64}")] 1.11 (5%) ❌ 1.00 (1%)
["array", "equality", ("isequal", "UnitRange{Int64}")] 0.82 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal UnitRange{Int64}")] 0.89 (5%) ✅ 1.00 (1%)
["array", "equality", ("isequal", "Vector{Int64} isequal Vector{Int64}")] 0.94 (5%) ✅ 1.00 (1%)
["array", "reductions", ("perf_reduce", "Int64")] 1.08 (5%) ❌ 1.00 (1%)
["array", "reductions", ("sumabs2", "Float64")] 1.07 (5%) ❌ 1.00 (1%)
["array", "setindex!", ("setindex!", 1)] 1.07 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (10, "tup_tup")] 0.84 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (3, "scal_tup")] 0.83 (5%) ✅ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup")] 1.10 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "scal_tup_x3")] 1.09 (5%) ❌ 1.00 (1%)
["broadcast", "mix_scalar_tuple", (5, "tup_tup")] 0.91 (5%) ✅ 1.00 (1%)
["collection", "optimizations", ("Vector", "concrete", "Nothing")] 0.71 (25%) ✅ 1.00 (1%)
["dates", "parse", ("Date", "DateFormat")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Bool}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Float32}")] 0.94 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.5", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Float64}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{Int8}")] 1.12 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt64}")] 1.05 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.8", "Vector{UInt8}")] 1.07 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.95", "Vector{Int8}")] 1.13 (5%) ❌ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Float32}")] 0.93 (5%) ✅ 1.00 (1%)
["find", "findall", ("> q0.99", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findall", ("ispos", "Vector{Int8}")] 1.06 (5%) ❌ 1.00 (1%)
["find", "findnext", ("ispos", "Vector{UInt64}")] 1.16 (5%) ❌ 1.00 (1%)
["find", "findprev", ("ispos", "Vector{Int64}")] 1.16 (5%) ❌ 1.00 (1%)
["inference", "abstract interpretation", "abstract_call_gf_by_type"] 1.12 (5%) ❌ 1.06 (1%) ❌
["inference", "abstract interpretation", "construct_ssa!"] 1.10 (5%) ❌ 1.04 (1%) ❌
["inference", "abstract interpretation", "domsort_ssa!"] 1.10 (5%) ❌ 1.05 (1%) ❌
["inference", "abstract interpretation", "println(::QuoteNode)"] 1.06 (5%) ❌ 1.05 (1%) ❌
["inference", "abstract interpretation", "rand(Float64)"] 1.06 (5%) ❌ 1.04 (1%) ❌
["inference", "abstract interpretation", "sin(42)"] 1.08 (5%) ❌ 1.06 (1%) ❌
["inference", "abstract_call_gf_by_type"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "construct_ssa!"] 1.03 (5%) 0.99 (1%) ✅
["inference", "domsort_ssa!"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "optimization", "abstract_call_gf_by_type"] 0.99 (5%) 0.95 (1%) ✅
["inference", "optimization", "println(::QuoteNode)"] 1.13 (5%) ❌ 1.01 (1%) ❌
["inference", "optimization", "rand(Float64)"] 1.08 (5%) ❌ 1.00 (1%)
["inference", "println(::QuoteNode)"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "rand(Float64)"] 1.06 (5%) ❌ 1.00 (1%)
["inference", "sin(42)"] 1.06 (5%) ❌ 1.00 (1%)
["misc", "23042", "ComplexF32"] 0.83 (5%) ✅ 1.00 (1%)
["misc", "23042", "Float64"] 0.87 (5%) ✅ 1.00 (1%)
["misc", "fastmath many args"] 1.25 (5%) ❌ 1.00 (1%)
["misc", "foldl", "foldl(+, filter(...); init = 0.0)"] 1.08 (5%) ❌ 1.00 (1%)
["misc", "parse", "Float64"] 1.12 (5%) ❌ 1.00 (1%)
["problem", "simplex", "simplex"] 1.09 (5%) ❌ 1.00 (1%)
["simd", ("Cartesian", "axpy!", "Int64", 4, 64)] 0.75 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "axpy!", "Int64", 4, 64)] 0.75 (20%) ✅ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 31)] 1.25 (20%) ❌ 1.00 (1%)
["simd", ("CartesianPartition", "conditional_loop!", "Int32", 2, 63)] 1.69 (20%) ❌ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 10)] 0.95 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("Diagonal", 100)] 0.94 (5%) ✅ 1.00 (1%)
["sparse", "constructors", ("IV", 10)] 1.08 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("SymTridiagonal", 100)] 1.10 (5%) ❌ 1.00 (1%)
["sparse", "constructors", ("Tridiagonal", 100)] 1.07 (5%) ❌ 1.00 (1%)
["sparse", "index", ("spmat", "integer", 10)] 0.68 (30%) ✅ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 500x5, sparse 500x500 -> dense 5x500")] 1.66 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 50x5, sparse 50x500 -> dense 5x500")] 1.66 (30%) ❌ 1.00 (1%)
["sparse", "matmul", ("At_mul_B", "dense 5x5, sparse 5x500 -> dense 5x500")] 1.42 (30%) ❌ 1.00 (1%)
["string", "==(::SubString, ::String)", "different length"] 1.09 (5%) ❌ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(16, 16)", "(16,)")] 0.95 (5%) ✅ 1.00 (1%)
["tuple", "linear algebra", ("matvec", "(8, 8)", "(8,)")] 1.07 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("minimum", "(4, 4)")] 0.84 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2, 2)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(2,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sum", "(4, 4)")] 1.14 (5%) ❌ 1.00 (1%)
["tuple", "reduction", ("sum", "(4,)")] 0.93 (5%) ✅ 1.00 (1%)
["tuple", "reduction", ("sumabs", "(2, 2)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, false)")] 1.08 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "*", "Bool", "(false, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(false, true)")] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "*", "Int8", "(true, true)")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Bool", 1)] 1.20 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Float32", 1)] 1.11 (5%) ❌ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int64", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "abs", "Int8", 1)] 0.80 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Bool", 1)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "ComplexF64", 1)] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", ("broadcast", "identity", "Int8", 1)] 1.21 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("collect", "filter", "BigInt", 0)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Bool", 1)] 1.19 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("map", "abs", "Int8", 1)] 0.78 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_countequals", "BigInt")] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_simplecopy", "Int8", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Float32", 1)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum", "Float64", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "BigFloat", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("perf_sum2", "Float32", 1)] 0.73 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum2", "Float64", 1)] 0.74 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Bool", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("perf_sum3", "Float32", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "BigInt", 0)] 1.10 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Int64", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Missing, BigFloat}", 1)] 1.06 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "collect", "Union{Nothing, BigFloat}", 0)] 1.13 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Bool", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "ComplexF64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Float32", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Float64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Int64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, BigFloat}", 0)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Bool}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, ComplexF64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Float32}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Float64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Int64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "eachindex", "Union{Nothing, Int8}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "BigFloat", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "BigInt", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Bool", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "ComplexF64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Float32", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Float64", 0)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Int64", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Int8", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, BigFloat}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, BigInt}", 0)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Bool}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, ComplexF64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Float32}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Float64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Int64}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "keys", "Union{Nothing, Int8}", 0)] 0.93 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "BigFloat", 0)] 1.07 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Bool}", 1)] 0.92 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Missing, Float64}", 1)] 0.94 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, BigFloat}", 0)] 1.05 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "perf_sumskipmissing", "Union{Nothing, ComplexF64}", 0)] 1.12 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, ComplexF64}", 1)] 1.26 (5%) ❌ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Float32}", 1)] 0.95 (5%) ✅ 1.00 (1%)
["union", "array", ("skipmissing", "sum", "Union{Missing, Float64}", 1)] 1.08 (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"]
  • ["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.477
Commit 0c08729cab (2022-05-06 09:31 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3500 MHz     326219 s        912 s      63959 s   96944007 s          0 s
       #2  3500 MHz    5544787 s        618 s     234809 s   91622502 s          0 s
       #3  3500 MHz     341729 s        607 s      50317 s   97000476 s          0 s
       #4  3500 MHz     232805 s        705 s      48749 s   96745433 s          0 s
  Memory: 31.32097625732422 GB (15623.82421875 MB free)
  Uptime: 9.74873936e6 sec
  Load Avg:  1.07  1.02  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores

Comparison Build

Julia Version 1.9.0-DEV.470
Commit 902a5c199d (2022-05-05 15:00 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 20.04.3 LTS
  uname: Linux 5.4.0-94-generic #106-Ubuntu SMP Thu Jan 6 23:58:14 UTC 2022 x86_64 x86_64
  CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz: 
              speed         user         nice          sys         idle          irq
       #1  3764 MHz     326861 s        912 s      64124 s   97044784 s          0 s
       #2  3511 MHz    5640441 s        618 s     239044 s   91624377 s          0 s
       #3  3506 MHz     342260 s        607 s      50337 s   97101668 s          0 s
       #4  3503 MHz     233675 s        705 s      48778 s   96846099 s          0 s
  Memory: 31.32097625732422 GB (16136.25390625 MB free)
  Uptime: 9.75891604e6 sec
  Load Avg:  1.09  1.02  1.0
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-13.0.1 (ORCJIT, haswell)
  Threads: 1 on 4 virtual cores