Package: SharedObject
Type: Package
Title: Sharing R objects across multiple R processes without memory
        duplication
Version: 1.25.0
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
Config/pak/sysreqs: make
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 14:54:16 UTC
RemoteUrl: https://github.com/bioc/SharedObject
RemoteRef: HEAD
RemoteSha: 1ded86d8ddcb7d179d19c932ff3ea09a5ee111aa
NeedsCompilation: yes
Packaged: 2025-11-02 04:11:13 UTC; root
Author: Jiefei Wang [aut, cre],
  Martin Morgan [aut]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 04:17:39 UTC; windows
Archs: x64
