scratch_matrix

Allocates (or reuses) a double matrix in the worker scratch pool.

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

scratch_matrix function

<dl><dt>nrow, ncol</dt>
<dd>Dimensions.</dd>
<dt>key</dt>
<dd>Optional key to control reuse. Defaults to a shape-derived key.</dd></dl>

Arguments

Get a scratch matrix — scratch_matrix

<dl>

<dt>nrow, ncol</dt>
<dd>Dimensions.</dd>


<dt>key</dt>
<dd>Optional key to control reuse. Defaults to a shape-derived key.</dd>

</dl>

scratch_matrix: Get a scratch matrix

Description

Usage

Value

Arguments

Examples