A Multi-Process 'dplyr' Backend
Cluster utitility functions
Default cluster
multidplyr: A Multi-Process 'dplyr' Backend
Create a new cluster with sensible defaults.
Partition data across workers in a cluster
A party_df partitioned data frame
Objects exported from other packages
Call a function on each node of a cluster
Partition a data frame across multiple worker processes to provide simple multicore parallelism.
Useful links