Euro-Par 2016: Parallel Processing

22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016, Proceedings
Herausgegeben:Dutot, Pierre-François; Trystram, Denis

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 22nd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France, in August 2016.

The 47 revised full papers presented together with 2 invited papers and one industrial paper were carefully reviewed and selected from 176 submissions. The papers are organized in 12 topical sections: Support Tools and Environments; Performance and Power Modeling, Prediction and Evaluation; Scheduling and Load Balancing; High Performance Architectures and Compilers; Parallel and Distributed Data Management and Analytics; Cluster and Cloud Computing; Distributed Systems and Algorithms; Parallel and Distributed Programming, Interfaces, Languages; Multicore and Manycore Parallelism; Theory and Algorithms for Parallel Computation and Networking; Parallel Numerical Methods and Applications; Accelerator Computing.

Produktdetails

• Theoretical Computer Science and General Issues 9833
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-43658-6
• 1st ed. 2016
• Seitenzahl: 732
• Erscheinungstermin: 9. August 2016
• Englisch
• Abmessung: 235mm x 155mm x 40mm
• Gewicht: 1127g
• ISBN-13: 9783319436586
• ISBN-10: 3319436589
• Artikelnr.: 45269126

Inhaltsangabe

Support Tools and Environments.- Performance and Power Modeling, Prediction and Evaluation.- Scheduling and Load Balancing.- High Performance Architectures and Compilers.- Parallel and Distributed Data Management and Analytics.- Cluster and Cloud Computing.- Distributed Systems and Algorithms.- Parallel and Distributed Programming, Interfaces, Languages.- Multicore and Manycore Parallelism.- Theory and Algorithms for Parallel Computation and Networking.- Parallel Numerical Methods and Applications.- Accelerator Computing.