title: Is there a way to modify the cluster resources allocated futures when using a furrr function?
body: <p>I'm using the <strong>future</strong>, <strong>future.batchtools</strong> and <strong>furrr</strong> packages within my R script, in order to run code on a <strong>slurm</strong>-managed remote machine.</p>
  <p>When I define my future topology, I pass a template file to <code>future.bacthtools::batchtools_slurm()</code> and define the computational resources for the slurm jobs with the <code>resources =</code> argument.</p>
  <p>When I then run the <code>furrr::future_pwalk()</code> function, every future is evaluated with the same resources, namely the ones that I defined in <code>batchtools_slurm()</code>.</p>
  <p>Is there a way to have the jobs use different resources, depending on a variable passed to <code>furrr::future_pwalk()</code>?</p>
  <p>Thanks in advance for any help!</p>