计算机科学课程中的并行和分布式计算

D. J. John, Stan J. Thomas
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引用次数: 19

摘要

最近的两项课程研究,ACM/IEEE 2013年课程报告和NSF/IEEE- tcpp并行和分布式计算课程倡议,认为每个本科计算机科学课程都应该包括并行和分布式计算(PDC)的主题。虽然不在这些报告的范围之内,但是学习与计算相关的通识教育课程的学生也需要了解并行和分布式计算技术在计算领域中所扮演的角色。将这些主题整合到现有课程中的一种方法是将它们分散到几门课程中。然而,这种方法需要开发多个教学模块,针对课程中的特定点介绍PDC概念。这些模块需要与所设计的课程目标相匹配,以便从现有主题中删除最少的材料。同时,这些模块应该为学生提供使用PDC基本概念的理解和经验。在本文中,我们报告了我们开发和部署此类模块的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parallel and Distributed Computing across the Computer Science Curriculum
Two recent curriculum studies, the ACM/IEEE Curricula 2013 Report and the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing, argue that every undergraduate computer science program should include topics in parallel and distributed computing (PDC). Although not within the scope of these reports, there is also a need for students in computing related general education courses to be aware of the role that parallel and distributed computing technologies play in the computing landscape. One approach to integrating these topics into existing curricula is to spread them across several courses. However, this approach requires development of multiple instructional modules targeted to introduce PDC concepts at specific points in the curriculum. Such modules need to mesh with the goals of the courses for which they are designed in such a way that minimal material has to be removed from existing topics. At the same time the modules should provide students with an understanding of and experience employing fundamental PDC concepts. In this paper we report on our experience developing and deploying such modules.
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