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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | memshare_1.1.0.tar.gz |
451.8 KiB |
1.1.0 |
rolling linux/noble R-4.5 | memshare_1.1.0.tar.gz |
454.4 KiB |
1.1.0 |
rolling source/ R- | memshare_1.1.0.tar.gz |
358.8 KiB |
1.1.0 |
latest linux/jammy R-4.5 | memshare_1.1.0.tar.gz |
451.8 KiB |
1.1.0 |
latest linux/noble R-4.5 | memshare_1.1.0.tar.gz |
454.4 KiB |
1.1.0 |
latest source/ R- | memshare_1.1.0.tar.gz |
358.8 KiB |
1.1.0 |
2026-04-26 source/ R- | memshare_1.1.0.tar.gz |
358.8 KiB |
1.1.0 |
2026-04-23 source/ R- | memshare_1.1.0.tar.gz |
358.8 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | memshare_1.1.0.zip |
769.7 KiB |
Dependencies (latest)
Imports
LinkingTo
Suggests
- ScatterDensity (>= 0.1.1)
- DataVisualizations (>= 1.1.5)
- mpmi
- rmarkdown (>= 0.9)
- knitr (>= 1.12)
- testthat (>= 3.0.0)