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Euro-Par 2016: Parallel Processing [electronic resource] : 22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016, Proceedings / edited by Pierre-François Dutot, Denis Trystram.

Contributor(s): Dutot, Pierre-François [editor.] | Trystram, Denis [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 9833Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XXIX, 699 p. 236 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319436593.Subject(s): Compilers (Computer programs) | Computer programming | Computer systems | Computers, Special purpose | Algorithms | Computer science -- Mathematics | Discrete mathematics | Compilers and Interpreters | Programming Techniques | Computer System Implementation | Special Purpose and Application-Based Systems | Algorithms | Discrete Mathematics in Computer ScienceAdditional 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, 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 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.
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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, Languages -- Multicore and Manycore Parallelism -- Theory and Algorithms for Parallel Computation and Networking -- Parallel Numerical Methods and Applications -- Accelerator Computing.

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.

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