Euro-Par 2016: Parallel Processing, 1st ed. 2016 22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016, Proceedings Theoretical Computer Science and General Issues Series
Coordonnateurs : Dutot Pierre-François, Trystram Denis
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.
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.
Includes supplementary material: sn.pub/extras
Date de parution : 08-2016
Ouvrage de 699 p.
15.5x23.5 cm
Thèmes d’Euro-Par 2016: Parallel Processing :
Mots-clés :
big data; GPU; parallel architectures; parallelization; programming model; algorithms; applications; architecture; cluster; communication; energy efficiency; hardware; high performance computing; linear algebra; memory access; multi-core; parallel processing; power consumption; scheduling; synchronization