pool_lapply: Parallel Dispatch with Async Workers

In shard: Deterministic, Zero-Copy Parallel Execution for R

Parallel Dispatch with Async Workers

Description

An alternative dispatch that uses parallel::parLapply-style execution but with supervision. This is a simpler interface for basic parallel apply.

Usage

pool_lapply(X, FUN, ..., pool = NULL, chunk_size = 1L)

Arguments

X	List or vector to iterate over.
FUN	Function to apply to each element.
...	Additional arguments to FUN.
pool	A shard_pool object. If NULL, uses current pool.
chunk_size	Integer. Elements per chunk (default 1).

Value

A list of results.

Examples

pool_create(2)
result <- pool_lapply(1:4, function(x) x^2, pool = pool_get())
pool_stop()

shard documentation built on April 3, 2026, 9:08 a.m.