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Package: SharedObject
Type: Package
Title: Sharing R objects across multiple R processes without memory duplication
Version: 1.27.2
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 duplication and data transfer, which make sharing big data objects 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