How does R handle compute-intensive simulations at scale (Monte Carlo, bootstrapping)?

R scales simulations using parallel computing, vectorization, and distributed execution frameworks.

Monte Carlo simulations are embarrassingly parallel and can be distributed across cores or clusters using parallel, future, or Spark. Random number streams must be carefully managed for reproducibility.