Course: COMP 535/L. Parallel and Distributed Computing and Lab (2/1)
Prerequisites: COMP 282 and COMP 322/L. Corequisite: COMP 535L. A study of the concepts, principles, techniques and applications of parallel and distributed computing. Topics include system architectures, parallel programming patterns, computer cluster architectures, job scheduling and resource management, GPU architecture and programming, virtual machine and virtualization, distributed storage and file systems, cloud computing, with focus on the state-of-the-art tools and technologies. Lab portion of this course provides hands-on implementation of parallel and distributed programs. Lab: 3 hours per week.