Lecture 10 — Parallel Performance Lab & Wrap-up (3h)

Objectives

• Run practical parallel experiments (e.g., Monte Carlo π)

• Measure runtimes, compute speedup and efficiency

• Prepare final mini-project deliverables and next steps

Content summary

Hands-on lab: serial and parallel implementations (Python multiprocessing, optional C++/OpenMP). Collect timings for 1,2,4,… cores, tabulate speedup, and analyze results vs theoretical expectations. Course summary and integration of tools.