Think Parallel: Teaching Parallel Programming Today

Parallel computing is rapidly entering mainstream computing, and multicore processors can now be found in the heart of supercomputers, desktop computers, and laptops. Consequently, applications will increasingly need to be parallelized to fully exploit the multicore processor throughput gains that a...

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Veröffentlicht in:IEEE distributed systems online Jg. 9; H. 8; S. 1
1. Verfasser: Marowka, A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.08.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Application software
Computation
Computer programs
Computer Science Education
Concurrent computing
Concurrent Programming
Education
Heart
Languages
Multicore processing
OpenMP
Parallel Computing
Parallel processing
Parallel programming
Portable computers
Processors
Supercomputers
Teaching
Theory
Writing
ISSN:1541-4922, 1558-1683
Online-Zugang:Volltext
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Zusammenfassung:Parallel computing is rapidly entering mainstream computing, and multicore processors can now be found in the heart of supercomputers, desktop computers, and laptops. Consequently, applications will increasingly need to be parallelized to fully exploit the multicore processor throughput gains that are becoming available. Unfortunately, writing parallel code is more complex than writing serial code. An introductory parallel computing course aims to introduce students to this technology shift and to explain that parallelism calls for a different way of thinking and new programming skills. The course covers theoretical topics and offers practical experience in writing parallel algorithms on state-of-the-art parallel computers, parallel programming environments, and tools.
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SourceType-Scholarly Journals-1
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ISSN:1541-4922
1558-1683
DOI:10.1109/MDSO.2008.24