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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=memshare
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.