shard: Deterministic, Zero-Copy Parallel Execution for R
Provides a parallel execution runtime for R that emphasizes
deterministic memory behavior and efficient handling of large shared inputs.
'shard' enables zero-copy parallel reads via shared/memory-mapped segments,
encourages explicit output buffers to avoid large result aggregation, and
supervises worker processes to mitigate memory drift via controlled recycling.
Diagnostics report peak memory usage, end-of-run memory return, and hidden
copy/materialization events to support reproducible performance benchmarking.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
methods, parallel, stats, tools, utils |
| Suggests: |
knitr, pkgload, rmarkdown, testthat (≥ 3.0.0), ps, jsonlite, tibble, withr |
| Published: |
2026-04-03 |
| DOI: |
10.32614/CRAN.package.shard (may not be active yet) |
| Author: |
Bradley Buchsbaum [aut, cre, cph] |
| Maintainer: |
Bradley Buchsbaum <brad.buchsbaum at gmail.com> |
| BugReports: |
https://github.com/bbuchsbaum/shard/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://bbuchsbaum.github.io/shard/,
https://github.com/bbuchsbaum/shard |
| NeedsCompilation: |
yes |
| SystemRequirements: |
POSIX shared memory (optional), memory-mapped files |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
shard results |
Documentation:
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