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: | 1.1.0 |
| 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),testthat (≥ 3.0.0) |
| Published: | 2025-12-05 |
| DOI: | 10.32614/CRAN.package.memshare |
| Author: | Julian Maerte [aut, ctr], Romain Francois [ctb], Michael Thrun [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 |
| Citation: | memshare citation info |
| Materials: | README |
| CRAN checks: | memshare results |
Documentation:
| Reference manual: | memshare.html ,memshare.pdf |
| Vignettes: | memshare: Fast Shared-Memory Parallelism in R (source) |
Downloads:
| Package source: | memshare_1.1.0.tar.gz |
| Windows binaries: | r-devel:memshare_1.1.0.zip, r-release:memshare_1.1.0.zip, r-oldrel:memshare_1.1.0.zip |
| macOS binaries: | r-release (arm64):memshare_1.1.0.tgz, r-oldrel (arm64):memshare_1.1.0.tgz, r-release (x86_64):memshare_1.1.0.tgz, r-oldrel (x86_64):memshare_1.1.0.tgz |
| Old sources: | memshare archive |
Reverse dependencies:
| Reverse imports: | PDEnaiveBayes |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=memshareto link to this page.