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Parallel computational thinking

Published:27 November 2017Publication History
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Abstract

Applications must be programmed to process instructions in parallel to take full advantage of the new multicore processors.

References

  1. Grossman, M., Aziz, M., Chi, H., Tibrewal, A., Imam, S., and Sarkar, V. Pedagogy and tools for teaching parallel computing at the sophomore undergraduate level, Journal of Parallel and Distributed Computing, Volume 105 Issue C, July 2017, pp. 18-30 http://dl.acm.org/citation.cfm?id=3085740 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Burtscher, M., Peng, W., Qasem, A., Shi, H., Tamir, D., and Thiry, H. Integrating Parallel Computing into the Undergraduate Curriculum at Texas State University: Experiences from the First Year http://bit.ly/2tl7rpeGoogle ScholarGoogle Scholar
  3. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science The Joint Task Force on Computing Curricular: Association for Computing Machinery IEEE Computer Society December 20, 2013 http://www.acm.org/education/CS2013-final-report.pdf Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Parallel computational thinking

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          cover image Communications of the ACM
          Communications of the ACM  Volume 60, Issue 12
          December 2017
          91 pages
          ISSN:0001-0782
          EISSN:1557-7317
          DOI:10.1145/3167461
          Issue’s Table of Contents

          Copyright © 2017 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 27 November 2017

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