memshare: Shared Memory Multithreading (original) (raw)

This project extends 'R' with a mechanism for efficient parallel data access by utilizing 'C++' shared memory. Large data objects can be accessed and manipulated directly from 'R' without redundant copying, providing both speed and memory efficiency.

Version: 1.0.3.1
Depends: R (≥ 4.3.0)
Imports: Rcpp (≥ 1.0.14), parallel
LinkingTo: Rcpp
Suggests: ScatterDensity (≥ 0.1.1), DataVisualizations (≥ 1.1.5), mpmi, rmarkdown (≥ 0.9), knitr (≥ 1.12)
Published: 2025-11-08
DOI: 10.32614/CRAN.package.memshare
Author: Julian Maerte ORCID iD [aut, ctr], Romain Francois [ctb], Michael Thrun ORCID iD [aut, ths, rev, cph, cre]
Maintainer: Michael Thrun <m.thrun at gmx.net>
BugReports: https://github.com/Mthrun/memshare/issues
License: GPL-3
URL: https://www.iap-gmbh.de
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README
CRAN checks: memshare results

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