Package: memshare 1.1.1

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. Memshare was published in Thrun, M.C., Maerte J.: "Memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE" (2026), R Journal, <doi:10.32614/RJ-2025-043>.

Authors:Julian Maerte [aut, ctr], Romain Francois [ctb], Michael Thrun [aut, ths, rev, cph, cre]

memshare_1.1.1.tar.gz
memshare_1.1.1.zip(r-4.7)memshare_1.1.1.zip(r-4.6)memshare_1.1.1.zip(r-4.5)
memshare_1.1.1.tgz(r-4.6-x86_64)memshare_1.1.1.tgz(r-4.6-arm64)memshare_1.1.1.tgz(r-4.5-x86_64)memshare_1.1.1.tgz(r-4.5-arm64)
memshare_1.1.1.tar.gz(r-4.7-arm64)memshare_1.1.1.tar.gz(r-4.7-x86_64)memshare_1.1.1.tar.gz(r-4.6-arm64)memshare_1.1.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
memshare/json (API)

# Install 'memshare' in R:
install.packages('memshare', repos = c('https://mthrun.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mthrun/memshare/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

5.99 score 9 stars 1 packages 12 scripts 255 downloads 11 exports 1 dependencies

Last updated from:2321fde90e. Checks:4 ERROR, 8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR131
linux-devel-x86_64ERROR140
source / vignettesOK194
linux-release-arm64ERROR133
linux-release-x86_64ERROR133
macos-release-arm64OK96
macos-release-x86_64OK175
macos-oldrel-arm64OK89
macos-oldrel-x86_64OK248
windows-develOK242
windows-releaseOK216
windows-oldrelOK182
wasm-releaseFAIL114

Exports:memApplymemLapplymemshare_gcmutualinfopageListregisterVariablesreleaseVariablesreleaseViewsretrieveMetadataretrieveViewsviewList

Dependencies:Rcpp

memshare: Fast Shared-Memory Parallelism in R

Rendered frommemshare.Rmdusingknitr::rmarkdownon Jun 03 2026.

Last update: 2026-05-04
Started: 2025-12-04