Daily Term: Parallelism

Parallelism

Parallelism involves executing multiple tasks simultaneously, typically using multiple CPU cores. For example, a Python script using the multiprocessing library might process large datasets across several cores at once. Parallelism improves performance for compute-intensive tasks, like machine learning model training, but it requires careful management of shared resources, communication overhead, and potential bottlenecks like I/O operations.

Date: 2025-08-09