Create Async Controller (Auto-detect Backend)

Creates an async controller for parallel random walk simulation. Automatically selects the appropriate backend:

• WebR/WebAssembly: mirai (crew not available)

• Native R: crew (preferred for better abstractions)

Usage

create_controller(n_workers = 2, seconds_idle = 60)

Arguments

n_workers

Integer. Number of parallel workers to create (default: 2). Recommended: 2-4 for medium grids, 4-8 for large grids.

seconds_idle

Numeric. Seconds of idle time before worker shutdown (default: 60). Note: Only applies to crew backend (ignored for mirai).

Value

An async controller object with initialized workers.

• Crew backend: R6 crew controller object

• Mirai backend: List with crew-compatible interface

Details

The controller manages a pool of R worker processes that execute walker step functions in parallel. Each worker maintains its own local cache of the grid state and subscribes to updates from the main process.

Backend Selection:

• WebR/WebAssembly detected by is_webr() → uses mirai

• Native R → uses crew

Both backends provide the same interface:

• push(): Submit task

• pop(): Retrieve completed task

• terminate(): Shutdown workers

Workers are automatically started when the controller is created and can be cleanly shut down using cleanup_async().

See also

create_pub_socket, cleanup_async, create_mirai_controller

Examples

if (FALSE) { # \dontrun{
# Create controller (auto-detects environment)
controller <- create_controller(n_workers = 2)

# Use controller for parallel tasks
# ... simulation code ...

# Clean up when done
cleanup_async(controller, socket)
} # }