pool_health_check

Monitors all workers, recycling those with excessive RSS drift or that have died.

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_health_check function

<dl><dt>pool</dt>
<dd>A <code>shard_pool</code> object. If NULL, uses the current pool.</dd>
<dt>busy_workers</dt>
<dd>Optional integer vector of worker ids that are currently
running tasks (used internally by the dispatcher to avoid recycling a worker
while a result is in flight).</dd></dl>

Arguments

Check Pool Health — pool_health_check

<dl>

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


<dt>busy_workers</dt>
<dd>Optional integer vector of worker ids that are currently
running tasks (used internally by the dispatcher to avoid recycling a worker
while a result is in flight).</dd>

</dl>

pool_health_check: Check Pool Health

Description

Usage

Value

Arguments

Examples