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Record Nr. |
UNISA996198265103316 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XLIV, 828 p. 298 illus.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8632 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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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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