Package: SharedObject
Type: Package
Title: Sharing R objects across multiple R processes without memory
        duplication
Version: 1.1.0
Date: 2019-6-10
Author: Jiefei Wang
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Description: 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.
License: GPL-3
LinkingTo: BH, Rcpp
Depends: R (>= 3.6.0)
Imports: Rcpp, methods, stats, xptr, BiocGenerics
biocViews: Infrastructure
BugReports: https://github.com/Jiefei-Wang/SharedObject/issues
Suggests: testthat, parallel, knitr, rmarkdown, BiocStyle
RoxygenNote: 6.1.1
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/SharedObject
git_branch: master
git_last_commit: 3ab2039
git_last_commit_date: 2019-10-29
Date/Publication: 2019-11-06
NeedsCompilation: yes
Packaged: 2019-11-07 05:02:35 UTC; biocbuild
Built: R 4.0.0; i386-w64-mingw32; 2019-11-07 08:35:14 UTC; windows
Archs: i386, x64
