Many scientific computing tasks are memory intensive - operations on large matrices, R and Python both tend to keep their data in memory rather than writing it

Many scientific computing tasks are memory intensive - operations on large matrices, R and Python both tend to keep their data in memory rather than writing it to disk, heavy simulation, etc. I've slammed a cluster node with 1 TB of RAM pretty hard, I can easily see exceeding the 64 GB the Mac Pro comes with. Though my solution to this is admittedly "Toss it on the cluster".