README.md

Rdsm

Distributed Shared Memory for R. Useful for:

  1. Parallel computation under the shared-memory paradigm.
  2. Running background/asynchronous jobs in R, including shared state if needed.


matloff/Rdsm documentation built on May 18, 2019, 8:08 p.m.