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CISC 3330 Foundations of Parallel and Distributed Computing 3 hours; 3 credits Survey of parallel and distributed hardware fundamentals, including SMP machines, clusters, grids, and networks of workstations. Introduction to the design of parallel algorithms and the analysis of their efficiency. Survey of software issues for parallel and distributed computation including message passing and shared memory, processes and threads, client/server and peer to peer, and issues of synchronization. Complexity considerations and the limits of parallelism. Prerequisite: Computer and Information Science 3142 or permission of the chairperson. DISCLAIMER The City University reserves the right, because of changing conditions, to make modifications of any nature in academic programs and requirements of the university and its constituent colleges without advanced notice. Students are advised to consult regularly with college and department counselors concerning their programs of study. Access the college's current and recent course bulletins.
3 hours; 3 credits
Survey of parallel and distributed hardware fundamentals, including SMP machines, clusters, grids, and networks of workstations. Introduction to the design of parallel algorithms and the analysis of their efficiency. Survey of software issues for parallel and distributed computation including message passing and shared memory, processes and threads, client/server and peer to peer, and issues of synchronization. Complexity considerations and the limits of parallelism.
Prerequisite: Computer and Information Science 3142 or permission of the chairperson.
The City University reserves the right, because of changing conditions, to make modifications of any nature in academic programs and requirements of the university and its constituent colleges without advanced notice. Students are advised to consult regularly with college and department counselors concerning their programs of study.
Access the college's current and recent course bulletins.
