SharedObject
Sharing R objects across multiple R processes without memory duplication
Bioconductor version: 3.24 · Package version: 1.27.2
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SharedObject")Details
| Maintainer | Jiefei Wang <szwjf08@gmail.com> |
| Author | Jiefei Wang [aut, cre], Martin Morgan [aut] |
| License | GPL-3 |
| Bug Reports | https://github.com/Jiefei-Wang/SharedObject/issues |
| System Requirements | GNU make, C++11 |
| Downloads rank | 475 |
| Source branch | devel |
| biocViews | Infrastructure, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SharedObject_1.27.2.tar.gz |
| Windows binary (x86_64) | SharedObject_1.27.2.zip |
| macOS binary (arm64) | SharedObject_1.27.2.tgz |
| macOS binary (x86_64) | SharedObject_1.27.2.tgz |