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Euro-Par 2017: Parallel Processing [electronic resource] : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 - September 1, 2017, Proceedings / edited by Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro.

Contributor(s): Rivera, Francisco F [editor.] | Pena, Tomás F [editor.] | Cabaleiro, José C [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 10417Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XXXII, 725 p. 261 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319642031.Subject(s): Compilers (Computer programs) | Algorithms | Computer programming | Computer systems | Computers, Special purpose | Compilers and Interpreters | Algorithms | Programming Techniques | Computer System Implementation | Special Purpose and Application-Based SystemsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.45 Online resources: Click here to access online
Contents:
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 and languages -- Multicore and manycore parallelism -- Theory and algorithms for parallel computation and networking -- Parallel numerical methods and applications -- Accelerator computing.
In: Springer Nature eBookSummary: This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following 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 and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.
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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 and languages -- Multicore and manycore parallelism -- Theory and algorithms for parallel computation and networking -- Parallel numerical methods and applications -- Accelerator computing.

This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following 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 and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.

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