DOI: 10.18129/B9.bioc.SharedObject  

This is the development version of SharedObject; for the stable release version, see SharedObject.

Sharing R objects across multiple R processes without memory duplication

Bioconductor version: Development (3.19)

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>

Citation (from within R, enter citation("SharedObject")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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biocViews Infrastructure, Software
Version 1.17.0
In Bioconductor since BioC 3.10 (R-3.6) (4 years)
License GPL-3
Depends R (>= 3.6.0)
Imports Rcpp, methods, stats, BiocGenerics
LinkingTo BH, Rcpp
Suggests testthat, parallel, knitr, rmarkdown, BiocStyle
SystemRequirements GNU make, C++11
Depends On Me
Imports Me NewWave
Suggests Me
Links To Me
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Source Package SharedObject_1.17.0.tar.gz
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