Adding GPU Computing to Computer Organization Courses

David Bunde,Karen L. Karavanic,Jens Mache,Christopher T. Mitchell

Parallel and Distributed Processing Symposium Workshops & PhD Forum（2013）

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摘要

How can parallel computing topics be incorporated into core courses that are taken by the majority of undergraduate students? This paper reports our experiences adding GPU computing with CUDA into the core undergraduate computer organization course at two different colleges. We have found that even though programming in CUDA is not necessarily easy, programmer control and performance impact seem to motivate students to acquire an understanding of parallel architectures.

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关键词

performance impact,undergraduate student,gpu computing,parallel architecture,programmer control,core course,computer organization courses,different college,core undergraduate computer organization,organizations,computer science education,further education,instruction sets,parallel computing,programming,kernel

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