Parallel Computing in the Computer Science Curriculum > Modules

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Parallel Computing Concepts
Richard Brown
This concept module will introduce a core of parallel computing notions that CS majors and minors should know in preparation for the era of manycore computing, including parallelism categories, concurrency issues and solutions, and programming strategies.

Concurrency and Map-Reduce Strategies in Various Programming Languages
Professor Richard Brown, St. Olaf College
This concept module explores how concurrency and parallelism have been established in programming languages and how one can implement map-reduce in several high-level programming languages taught in a CS curriculum, including Scheme, C++, Java, and Python.

Parallel Sorting
Elizabeth Shoop
This module, targeted for algorithms and data structures courses, examines the theoretical PRAM model and its use when designing a parallel version of the mergesort algorithm.



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