Description
Euro-Par 2014: Parallel Processing, 2014
20th International Conference, Porto, Portugal, August 25-29, 2014, Proceedings
Theoretical Computer Science and General Issues Series
Coordinators: Silva Fernando, Dutra Inês, Santos Costa Vitor
Language: EnglishSubjects for Euro-Par 2014: Parallel Processing:
Keywords
GPU; HPC; applied computing; cloud computing; data centers; distributed computing; distributed systems; graphics processing unit; grid computing; high-performance computing; information systems; load balancing; operating systems; parallel algorithms; parallel computing; parallel programming; performance evaluation; scheduling; algorithm analysis and problem complexity
Publication date: 08-2014
828 p. · 15.5x23.5 cm · Paperback
828 p. · 15.5x23.5 cm · Paperback
Description
/li>Contents
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This book constitutes the refereed proceedings of the 20th International Conference on Parallel and Distributed Computing, Euro-Par 2014, held in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; green high performance 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 communication; high performance and scientific applications; and GPU and accelerator computing.
Support tools environments.- Performance prediction and evaluation.- Scheduling and load balancing.- High-performance architectures and compilers.- Parallel and distributed data management.- Grid, cluster and cloud computing.- Green high performance 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 communication.- High performance and scientific applications.- GPU and accelerator computing.
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