pool_stop

Terminates all worker processes and releases resources. Waits for workers
to actually terminate before returning.

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

pool_stop function

<dl><dt>pool</dt>
<dd>A <code>shard_pool</code> object. If NULL, uses the current pool.</dd>
<dt>timeout</dt>
<dd>Numeric. Seconds to wait for workers to terminate (default 5).
Returns after timeout even if workers are still alive.</dd></dl>

Arguments

Stop the Worker Pool — pool_stop

<dl>

<dt>pool</dt>
<dd>A <code>shard_pool</code> object. If NULL, uses the current pool.</dd>


<dt>timeout</dt>
<dd>Numeric. Seconds to wait for workers to terminate (default 5).
Returns after timeout even if workers are still alive.</dd>

</dl>

pool_stop: Stop the Worker Pool

Description

Usage

Value

Arguments

Examples