Smart Parallel Framework Selector

This module provides intelligent selection and setup of R parallelization frameworks based on OS capabilities and available packages.

Usage

smart_parallel_apply(X, FUN, n_cores = NULL, ..., setup = NULL)

Arguments

X

A vector or list to iterate over

FUN

Function to apply to each element

n_cores

Number of cores to use (NULL for auto-detection)

...

Additional arguments passed to FUN

setup

Advanced: Optional pre-configured setup object from setup_parallel(). If provided, n_cores is ignored. Most users should omit this parameter. Reusing setup is more efficient for multiple operations.

Value

A list of results

See also

setup_parallel(), detect_parallel_backend()

Other parallel: detect_parallel_backend(), print_parallel_info(), setup_parallel(), stop_parallel()

Examples

# \donttest{
# Simple parallel computation
result <- smart_parallel_apply(1:10, function(x) x^2)

# With additional arguments
result <- smart_parallel_apply(1:10, function(x, p) x^p, p = 3)
# }