crew.cluster: crew launcher plugins for traditional high-performance computing clusters

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The crew.cluster package extends the mirai-powered crew package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages mirai, future, rrq, clustermq, and batchtools.

Attribution

The template files at https://github.com/mschubert/clustermq/tree/master/inst informed the development of the crew launcher plugins in crew.cluster, and we would like to thank Michael Schubert for developing clustermq and releasing it under the permissive Apache License 2.0. See the NOTICE and README.md files in the crew.cluster source code for additional attribution.