Euro-Par 2014: Parallel Processing [electronic resource] : 20th International Conference, Porto, Portugal, August 25-29, 2014, Proceedings / edited by Fernando Silva, Inês Dutra, Vitor Santos Costa.
Contributor(s): Silva, Fernando [editor.]
| Dutra, Inês [editor.] | Santos Costa, Vitor [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Theoretical Computer Science and General Issues: 8632Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Edition: 1st ed. 2014.Description: XLIV, 828 p. 298 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319098739.Subject(s): Compilers (Computer programs) | Operating systems (Computers) | Electronic digital computers -- Evaluation | Computer networks | Algorithms | Compilers and Interpreters | Operating Systems | System Performance and Evaluation | Computer Communication Networks | AlgorithmsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.45 Online resources: Click here to access online 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.
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.
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