Overview
- High quality selected papers
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- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7782)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: PARA 2012.
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About this book
This volume constitutes the refereed proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012, held in Helsinki, Finland, in June 2012. The 35 revised full papers presented were selected from numerous submissions and are organized in five technical sessions covering the topics of advances in HPC applications, parallel algorithms, performance analyses and optimization, application of parallel computing in industry and engineering, and HPC interval methods. In addition, three of the topical minisymposia are described by a corresponding overview article on the minisymposia topic. In order to cover the state-of-the-art of the field, at the end of the book a set of abstracts describe some of the conference talks not elaborated into full articles.
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Keywords
Table of contents (47 papers)
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Overview Articles of Topical Minisymposia
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Advances in HPC Applications
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Parallel Algorithms
Other volumes
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Applied Parallel and Scientific Computing
Editors and Affiliations
Bibliographic Information
Book Title: Applied Parallel and Scientific Computing
Book Subtitle: 11th International Conference, PARA 2012, Helsinki, Finland
Editors: Pekka Manninen, Per Öster
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-36803-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-36802-8Published: 20 February 2013
eBook ISBN: 978-3-642-36803-5Published: 12 February 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 568
Number of Illustrations: 186 b/w illustrations
Topics: Numeric Computing, Algorithm Analysis and Problem Complexity, Processor Architectures, System Performance and Evaluation, Math Applications in Computer Science