Grace Cagle

Thanks. Should we set the threads differently for parallel? The performance I'm getting seems strange. Testing -c1 -b2 on 1 query file (~60 million 150-bp reads) on 4 and 10...

The log is attached. Seems like it worked normally without the MPI wrapper and multiprocessing flags. CPU and load were perfect. resources_used.vmem=37029428kb resources_used.walltime=01:52:25 resources_used.mem=35217360kb [diamond.log](https://github.com/bbuchfink/diamond/files/6523764/diamond.log)

+1 for using multiple_rarefactions.py output with summarize_taxa_through_plots.py