3 credit(s) Once available only in supercomputers, parallel hardware is now pervasive, right down to our personal computers and mobile devices. To harness the full power of these computers, programmers must understand parallel processing, which introduces challenges at many levels. This course examines methods and techniques to support parallel programming in a variety of parallel computing environments, performance analysis, efficiency and complexity of parallel algorithms, and applications of parallel computation. Computer Science Lab Fee.