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Teaching parallel computing to science faculty: best practices and common pitfalls
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Authors:
David A. Joiner
Kean University, Union, NJ
Paul Gray
University of Northern Iowa, Cedar Falls, IA
Thomas Murphy
Contra Costa College, San Pablo, CA
Charles Peck
Earlham College, Richmond, IN
2006 Article
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Published in:
· Proceeding
PPoPP '06
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
Pages 239 - 246
ACM
New York, NY
, USA
©2006
table of contents
ISBN:1-59593-189-9
doi>
10.1145/1122971.1123007
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Tags:
algorithms
computer science education
curriculum
design
diskless clusters
experimentation
high performance computing education
human factors
literacy
management
parallel
parallel computing education
parallel computing environments
performance
performance analysis of parallel or distributed software
reliability
reliability, testing, and fault-tolerance
tools for developing parallel or distributed software
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