Gaining computer performance through parallel processing demands the cooperation of algorithms, programming languages and architectures. The course will examine different parallel architectures, the languages used to program them with their communication and synchronization primitives, and the algorithms required to exploit parallelism in real applications. Topics: Parallel algorithms; parallel programming languages; parallel architectures including vector processors, multiprocessors, interconnection networks, and dataflow machines.

Strong undergraduate background in computer science/computer engineering, including a basic knowledge of algorithms, languages, and architectures, as well as machine instruction sets.

Web and e-mail access required. SSH access required.