SharedObject: Sharing R objects across multiple R processes without memory duplication

This package is developed for facilitating parallel computing in R. It is capable to create an R object in the shared memory space and share the data across multiple R processes. It avoids the overhead of memory dulplication and data transfer, which make sharing big data object across many clusters possible.

Package details

AuthorJiefei Wang [aut, cre]
Bioconductor views Infrastructure
MaintainerJiefei Wang <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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SharedObject documentation built on Nov. 8, 2020, 8:17 p.m.