I implemented a fork of {targets} which provides the necessary changes to support {mori} shared memory regions! Check out the discussion thread below to learn more about the implementation:
github.com/ropensci/tar...
And try out the primary fork here:
github.com/tylermorganw...
#RStats
Help I understand and agree to https://books.ropensci.org/targets/help.html. Description I wanted to start a discussion before opening PRs, per the contributing guide. I have two related branches i...
This is really big (if it works!)—a big limitation for the use of R in simulation up to this point has been memory bloat. I’ve had to turn off parallel processing/reduce the number of workers many times in my {targets} workflows due to OOM errors. Hopefully this will solve that problem
#RStats
Tyler Morgan-Wall
Just released mori 0.1.0 on CRAN — a new R package for shared memory across processes. Parallel R no longer has to mean duplicating your dataset in every worker's RAM.
opensource.posit.co/blog/2026-04...
🧵 1/3
mori is a new R package for sharing R objects across processes via OS-level shared memory. Parallel workers get zero-copy, lazy ALTREP access to the same physical pages — share once, read anywhere.
