This is the development version of SharedObject; for the stable release version, see SharedObject.
Sharing R objects across multiple R processes without memory duplicationBioconductor version: Development (3.22)
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.
Author: Jiefei Wang [aut, cre], Martin Morgan [aut]
Maintainer: Jiefei Wang <szwjf08 at gmail.com>
Citation (from within R, entercitation("SharedObject")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SharedObject")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SharedObject")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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