print.shard_apply_policy

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

print.shard_apply_policy function

<dl><dt>x</dt>
<dd>A <code>shard_apply_policy</code> object.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Print a shard_apply_policy Object — print.shard_apply_policy

<dl>

<dt>x</dt>
<dd>A <code>shard_apply_policy</code> object.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

print.shard_apply_policy: Print a shard_apply_policy Object

Description

Usage

Value

Arguments