memshare: Shared Memory Multithreading

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: 1.0.1
Depends: R (≥ 4.3.0)
Imports: Rcpp (≥ 1.0.14), parallel
LinkingTo: Rcpp
Suggests: ScatterDensity (≥ 0.1.1), DataVisualizations (≥ 1.1.5), mpmi
Published: 2025-09-09
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>
License: GPL-3
URL: https://www.iap-gmbh.de
NeedsCompilation: yes
SystemRequirements: C++17, GNU make
CRAN checks: memshare results

Documentation:

Reference manual: memshare.html , memshare.pdf

Downloads:

Package source: memshare_1.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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