Nerd-sniping: can you make this faster?

General Usage Performance
35

Yes, I confirm the regression:

julia> @benchmark update_dot_exposure!($(data_soa())...)
BenchmarkTools.Trial: 10000 samples with 994 evaluations per sample.
 Range (min … max):  31.229 ns … 72.302 ns  ┊ GC (min … max): 0.00% … 0.00%
 Time  (median):     31.284 ns              ┊ GC (median):    0.00%
 Time  (mean ± σ):   31.424 ns ±  0.680 ns  ┊ GC (mean ± σ):  0.00% ± 0.00%

  ▃█▇▁                              ▁                      ▂▄ ▁
  ████▅▄▄▁▁▁▃▁▁▃▃▄▃▁▁▃▃▁▁▄▃▄▁▃▃▃▁▃▃▇████▇▆▆▅▅▅▄▄▄▅▄▄▃▃▅▄▄▃▁██ █
  31.2 ns      Histogram: log(frequency) by time      32.9 ns <

 Memory estimate: 0 bytes, allocs estimate: 0.

vs Nerd-sniping: can you make this faster? - #25 by lmiq

edit: although in my actual application it is much smaller:

% time julia +1.12 --project -e "using PDBTools; @time(sasa(atomic_sasa(read_pdb(\"6co8.pdb\"))))"
  5.331173 seconds (55.80 M allocations: 1.993 GiB, 21.69% gc time, 3.27% compilation time)

real	0m5,899s
user	0m6,837s
sys	0m0,339s

#vs

% time julia +1.11 --project -e "using PDBTools; @time(sasa(atomic_sasa(read_pdb(\"6co8.pdb\"))))"
  4.853135 seconds (55.80 M allocations: 1.987 GiB, 17.68% gc time, 0.22% compilation time: 100% of which was recompilation)

real	0m5,400s
user	0m6,273s
sys	0m0,391s
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