Introduction to Parallel Computing

4 credits

Introduction to high performance parallel computing: parallel architecture, algorithms, software, and problem-solving techniques. Areas covered: Flynn’s taxonomy, processor-memory organizations, shared and nonshared memory models: message passing and multithreading, data parallelism; speedup, efficiency and Amdahl’s law, communication and synchronization, isoefficiency and scalability. Assignments given to provide practical experience. Prerequisites: CSE 100 or CSE 100R; restricted to CS25, CS26, CS27, CS29, and EC26 majors. All other students will be allowed as space permits.