Explain MATLAB concurrency model and asynchronous execution

MATLAB supports concurrency through parallel pools, asynchronous tasks, and background execution to improve throughput and responsiveness.

Concurrency in MATLAB refers to executing multiple operations simultaneously or independently. Unlike simple parallel loops, concurrency includes asynchronous execution, task scheduling, and distributed computation.

MATLAB concurrency mechanisms include:

Distributes loop iterations across workers.

Runs functions in the background and retrieves results later.

Executes long-running computations without blocking MATLAB session.

Massively parallel computations on GPUs.

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