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:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	methods, parallel, stats, tools, utils
Suggests:	knitr, pkgload, rmarkdown, testthat (≥ 3.0.0), ps, jsonlite, tibble, withr
Published:	2026-04-05
DOI:	10.32614/CRAN.package.shard
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
In views:	HighPerformanceComputing
CRAN checks:	shard results

Documentation:

Reference manual:	shard.html , shard.pdf
Vignettes:	Getting Started with shard (source, R code)

Downloads:

Package source:	shard_0.1.1.tar.gz
Windows binaries:	r-devel: shard_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): shard_0.1.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources:	shard archive

Linking:

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