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: | 1.0.2 |
| Depends: | R (≥ 4.3.0) |
| Imports: | Rcpp (≥ 1.0.14), parallel |
| LinkingTo: | Rcpp |
| Suggests: | ScatterDensity (≥ 0.1.1), DataVisualizations (≥ 1.1.5), mpmi |
| Published: | 2025-09-10 |
| 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 |
| Materials: | README |
| CRAN checks: | memshare results |
Documentation:
| Reference manual: | memshare.html , memshare.pdf |
Downloads:
| Package source: | memshare_1.0.2.tar.gz |
| Windows binaries: | r-devel: memshare_1.0.2.zip, r-release: memshare_1.0.2.zip, r-oldrel: memshare_1.0.2.zip |
| macOS binaries: | r-release (arm64): memshare_1.0.2.tgz, r-oldrel (arm64): memshare_1.0.2.tgz, r-release (x86_64): memshare_1.0.2.tgz, r-oldrel (x86_64): memshare_1.0.2.tgz |
| Old sources: | memshare archive |
Linking:
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