pin_workers

Best-effort worker pinning to improve cache locality and reduce cross-core
migration. Currently supported on Linux only.

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.

Bradley Buchsbaum

shard

Deterministic, Zero-Copy Parallel Execution for R

pin_workers function

<dl><dt>pool</dt>
<dd>Optional shard_pool. Defaults to current pool.</dd>
<dt>strategy</dt>
<dd>"spread" assigns worker i -&gt; core i mod ncores. "compact"
assigns workers to the first cores.</dd>
<dt>cores</dt>
<dd>Optional integer vector of available cores (0-based). If NULL,
uses 0:(detectCores()-1).</dd></dl>

Arguments

Pin shard workers to CPU cores — pin_workers

<dl>

<dt>pool</dt>
<dd>Optional shard_pool. Defaults to current pool.</dd>


<dt>strategy</dt>
<dd>"spread" assigns worker i -&gt; core i mod ncores. "compact"
assigns workers to the first cores.</dd>


<dt>cores</dt>
<dd>Optional integer vector of available cores (0-based). If NULL,
uses 0:(detectCores()-1).</dd>

</dl>

pin_workers: Pin shard workers to CPU cores

Description

Usage

Value

Arguments

Examples