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Letícia Maria Pequeno Madureira edited this page Aug 14, 2024 · 2 revisions

The profiling technique involves the mapping of memory usage and allocations in the code. Instructions to profile this code are:

using Profile
@profile myfunc()

And to save such results in a file, we have:

open("/Users/leticiamadureira/OohataHuzinaga.jl/benchmarking/profile_08142024_1033AM.res", "w") do s
           Profile.print(IOContext(s, :displaysize => (24, 500)))
       end
image

This is the change on the BasisSets.jl package

julia> @benchmark parsebasis(mol, "6-21g")
BenchmarkTools.Trial: 132 samples with 1 evaluation.
 Range (min … max):  26.997 ms … 129.966 ms  ┊ GC (min … max): 0.00% … 0.00%
 Time  (median):     35.509 ms               ┊ GC (median):    0.00%
 Time  (mean ± σ):   38.202 ms ±  11.909 ms  ┊ GC (mean ± σ):  0.00% ± 0.00%

    ▁ ▁ █ ▆
  ▃▄█▅█▇█▅███▄█▄▄▃▄▃▃▃▃▃▁▃▁▁▁▃▁▃▁▃▃▁▁▁▁▁▁▁▁▁▁▃▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▃ ▃
  27 ms           Histogram: frequency by time         87.5 ms <

 Memory estimate: 114.91 KiB, allocs estimate: 1232.
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