print.shard_view_block

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_view_block function

<dl><dt>x</dt>
<dd>A <code>shard_view_block</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments (ignored).</dd></dl>

Arguments

Print a shard_view_block object — print.shard_view_block

<dl>

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


<dt>...</dt>
<dd>Additional arguments (ignored).</dd>

</dl>

print.shard_view_block: Print a shard_view_block object

Description

Usage

Value

Arguments