Package: SharedObject
Type: Package
Title: Sharing R objects across multiple R processes without memory
        duplication
Version: 1.4.0
Date: 2019-6-10
Authors@R: person("Jiefei", "Wang", email = "jwang96@buffalo.edu",
  role = c("aut", "cre"))
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, BiocGenerics
biocViews: Infrastructure
BugReports: https://github.com/Jiefei-Wang/SharedObject/issues
Suggests: testthat, parallel, knitr, rmarkdown, BiocStyle
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr
SystemRequirements: GNU make, C++11
Encoding: UTF-8
git_url: https://git.bioconductor.org/packages/SharedObject
git_branch: RELEASE_3_12
git_last_commit: 12c5c42
git_last_commit_date: 2020-10-28
Date/Publication: 2020-10-28
NeedsCompilation: yes
Packaged: 2020-10-29 03:24:02 UTC; biocbuild
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <jwang96@buffalo.edu>
Built: R 4.0.3; i386-w64-mingw32; 2020-10-29 13:55:44 UTC; windows
Archs: i386, x64
