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Computer Science 273

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TitleFoundations of Parallel Computationtrend
Units3
Prerequisites170, or consent of instructor.
DescriptionFundamental theoretical issues in designing parallel algorithms and architectures. Shared memory models of parallel computation. Parallel algorithms for linear algebra, sorting, Fourier Transform, recurrence evaluation, and graph problems. Interconnection network based models. Algorithm design techniques for networks like hypercubes, shuffle-exchanges, trees, meshes and butterfly networks. Systolic arrays and techniques for generating them. Relationships among networks and with shared memory models. Message routing. Cost of implementing shared memory and network based models in VLSI technology. Scalability issues.

Sections Instructor Teaching EffectivenessHow worthwhile was this course?
Fall 2006Rao5.9/ 7 ± 0.8
5.9/ 7 ± 1.1
Spring 2005Rao5.1/ 7 ± 0.6
4.8/ 7 ± 0.7
Spring 2003Rao4.6/ 7 ± 0.8
4.8/ 7 ± 0.6
Spring 2001Rao4.8/ 7 ± 0.7
4.9/ 7 ± 0.7
Spring 1995Ranade4.8/ 7 ± 0.9
4.2/ 7 ± 0.8
Spring 1994Ranade4.9/ 7 ± 0.9
4.8/ 7 ± 1.3
Spring 1993Ranade4.4/ 7 ± 0.8
4.8/ 7 ± 0.8
Fall 1991Ranade4.9/ 7 ± 1.0
4.3/ 7 ± 1.3
Fall 1990Ranade5.1/ 7 ± 1.0
5.6/ 7 ± 0.5

   
Overall Rating Teaching EffectivenessHow worthwhile was this course?
Computer Science 273 5.1/ 7 ± 0.1
5.0/ 7 ± 0.1

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