materialize.shard_view_block

Materialize a block view into an R matrix

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

materialize.shard_view_block function

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

Arguments

Materialize a block view into an R matrix — materialize.shard_view_block

<dl>

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

</dl>

materialize.shard_view_block: Materialize a block view into an R matrix

Description

Usage

Value

Arguments