• Produktbild: Parallel Processing and Applied Mathematics
  • Produktbild: Parallel Processing and Applied Mathematics
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Parallel Processing and Applied Mathematics 12th International Conference, PPAM 2017, Lublin, Poland, September 10-13, 2017, Revised Selected Papers, Part II

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.03.2018

Abbildungen

XXVI, 488 p. 129 illus.

Herausgeber

Roman Wyrzykowski + weitere

Verlag

Springer

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

774 g

Auflage

1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-78053-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.03.2018

Abbildungen

XXVI, 488 p. 129 illus.

Herausgeber

Verlag

Springer

Seitenzahl

488

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

774 g

Auflage

1st ed. 2018

Sprache

Englisch

ISBN

978-3-319-78053-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Parallel Processing and Applied Mathematics
  • Produktbild: Parallel Processing and Applied Mathematics

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    Scheduling Data Gathering with Maximum Lateness Objective.- Fair Scheduling in Grid VOs with Anticipation Heuristic.- A Security-Driven Approach to Online Job Scheduling in IaaS Cloud Computing Systems.- Dynamic Load Balancing Algorithm for Heterogeneous Clusters.- Multi-Objective Extremal Optimization in Processor Load Balancing for Distributed Programs.-
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    Workshop on PGAS Programming.-
    Interoperability of GASPI and MPI in Large Scale Scientific Applications.- Evaluation of the parallel performance of the Java and PCJ on the Intel KNL based systems.- Fault-tolerance mechanisms for the Java parallel codes implemented with the PCJ library.- Exploring graph analytics with the PCJ toolbox.- Big Data analytics in Java with PCJ library: performance comparison with Hadoop.- Performance comparison of graph BFS implemented in MapReduce and PGAS programming models.-
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    Efficient Parallel Generation of Many-Nucleon Basis for Large-Scale
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