Sips / Epema / Lin | Euro-Par 2009 - Parallel Processing | Buch | 978-3-642-03868-6 | sack.de

Buch, Englisch, Band 5704, 1120 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1578 g

Reihe: Lecture Notes in Computer Science

Sips / Epema / Lin

Euro-Par 2009 - Parallel Processing

15th International Euro-Par Conference, Delft, The Netherlands, August 25-28, 2009, Proceedings

Buch, Englisch, Band 5704, 1120 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1578 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-642-03868-6
Verlag: Springer


Euro-Par is an annual series of international conferences dedicated to the p- motion and the advancement of all aspects of parallel computing. In Euro-Par, the ?eld of parallel computing is divided into the four broad categories of t- ory, high performance, cluster and grid, and distributed and mobile computing. These categories are further subdivided into 14 topics that focus on particular areas in parallel computing. The objective of Euro-Par is to provide a forum for promoting the development of parallel computing both as an industrial te- nique and as an academic discipline, extending the frontier of both the state of the art and the state of the practice. The target audience of Euro-Par c- sists of researchers in parallel computing in academic departments, government laboratories, and industrial organizations. Euro-Par 2009 was the 15th conference in the Euro-Par series, and was - ganized by the Parallel and Distributed Systems Group of Delft University of Technology in Delft, TheNetherlands. The previous Euro-Par conferences took placeinStockholm,Lyon,Passau,Southampton,Toulouse,Munich,Manchester, Paderborn,Klagenfurt,Pisa,Lisbon, Dresden, Rennes, and Las Palmasde Gran Canaria. Next year, the conference will be held in Sorrento, Italy. More inf- mation on the Euro-Par conference series and organization is available on its website athttp://www.europar.org.
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Zielgruppe


Research

Weitere Infos & Material


Abstracts Invited Talks.- Topic 1: Support Tools and Environments.- Topic 2: Performance Prediction and Evaluation.- Topic 3: Scheduling and Load Balancing.- Topic 4: High Performance Architectures and Compilers.- Topic 5: Parallel and Distributed Databases.- Topic 6: Grid, Cluster, and Cloud Computing.- Topic 7: Peer-to-Peer Computing.- Topic 8: Distributed Systems and Algorithms.- Topic 9: Parallel and Distributed Programming.- Topic 10: Parallel Numerical Algorithms.- Topic 11: Multicore and Manycore Programming.- Topic 12: Theory and Algorithms for Parallel Computation.- Topic 13: High-Performance Networks.- Topic 14: Mobile and Ubiquitous Computing.


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