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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
to link to this page.
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.
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