Euro-Par 2009 - Parallel Processing: 15th International Euro-Par Conference, Delft, The Netherlands, August 25-28, 2009, Proceedings: 5704 (Lecture Notes in Computer Science)

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.

This book constitutes the refereed proceedings of the 15th International Conference on Parallel Computing, Euro-Par 2009, held in Delft, The Netherlands, in August 2009.

The 85 revised papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed databases; grid, cluster, and cloud computing; peer-to-peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.