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<p>There’s more to <code>OpenMP</code>. I invite you to go over a set of experiments where I compare different strategies of implementing the same function here: <a href="https://github.com/UofUEpiBio/r-parallel-benchmark">https://github.com/UofUEpiBio/r-parallel-benchmark</a></p>
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<p>Before continuing to the next section. Try to apply what we just learned to include OpenMP the function <code>K4B_v1</code>.</p>
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<p>Two ways of doing it: Single or multiple jobs (using job arrays.) To submit the job, I have created two bash (slurm) scripts we can submit with the <code>sbatch</code> function. Most of the time, we will be submitting single jobs (time consuming operations, large memory, etc.) Job arrays are useful when the entire script can be parallelized.</p>
<li id="fn1"><p>The <code>distance.R</code> R script can be downloaded <a href="week-08/distance.R">here</a>.<a href="#fnref1" class="footnote-back" role="doc-backlink">↩︎</a></p></li>
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