Package: SharedObject
Type: Package
Title: Sharing R objects across multiple R processes without memory
        duplication
Version: 1.23.0
Date: 2023-8-9
Authors@R: c(
    person(
        "Jiefei", "Wang",
        email = "szwjf08@gmail.com",
        role = c("aut", "cre")
    ),
    person("Martin", "Morgan", role = "aut"))
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: devel
git_last_commit: 34e1c89
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.22
Date/Publication: 2025-10-07
NeedsCompilation: yes
Packaged: 2025-10-08 00:07:46 UTC; biocbuild
Author: Jiefei Wang [aut, cre],
  Martin Morgan [aut]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-29 17:51:30 UTC; windows
Archs: x64
