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  Algorithm Engineering for Parallel Computation

Bader, D., Moret, B., & Sanders, P. (2002). Algorithm Engineering for Parallel Computation. In R. Fleischer, B. Moret, & E. Meineche Schmidt (Eds.), Experimental Algorithmics (pp. 1-23). Berlin, Germany: Springer.

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 Creators:
Bader, David, Author
Moret, Bernard, Author
Sanders, Peter1, Author           
Fleischer, Rudolf1, Editor           
Moret, Bernard, Editor
Meineche Schmidt, Erik, Editor
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: The emerging discipline of algorithm engineering has primarily focussed on transforming pencil-and-paper sequential algorithms into robust, efficient, well tested, and easily used implementations. As parallel computing becomes ubiquitous, we need to extend algorithm engineering techniques to parallel computation. Such an extension adds significant complications. After a short review of algorithm engineering achievements for sequential computing, we review the various complications caused by parallel computing, present some examples of successful efforts, and give a personal view of possible future research.

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Language(s): eng - English
 Dates: 2003-09-082002
 Publication Status: Issued
 Pages: -
 Publishing info: Berlin, Germany : Springer
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 202075
Other: Local-ID: C1256428004B93B8-9EE2FCF662ED1B38C1256CBE005C29DD-Sanders2002a
 Degree: -

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Title: Experimental Algorithmics
Source Genre: Book
 Creator(s):
Fleischer, Rudolf1, Editor           
Moret, Bernard, Editor
Meineche Schmidt, Erik, Editor
Affiliations:
1 Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: 2547 Sequence Number: - Start / End Page: 1 - 23 Identifier: ISBN: 3-540-00346-0