CS 546: Parallel and Distributed Processing

Objectives

• This course covers general issues of parallel processing, which include system, architectures, programming, performance evaluation, and applications.
• Approximately two third of the course will be devoted to basic concepts and techniques, and the remaining third will be on programming and assorted current topics in parallel computing.
• Four textbooks are recommended as the general guideline of the lecture. Both undergrads and grads are welcome to the class.

Prerequisites

• CS 450.

Syllabus

• Introduction to parallel computing
• Parallel Performance and Evaluation
• Shared-memory parallel architectures and programming I
• Shared-memory parallel architectures and programming II
• Multithreaded programming
• Distributed memory parallel architectures and communications
• Message-passing programming I
• Message-passing programming II
• Data-parallel programming I
• Data-parallel programming II
• Methodology for parallel algorithms
• Current trends

Edited March 2006 (html, css checks)