Euro-Par 2016: Parallel Processing Workshops Euro-Par 2016 International Workshops, Grenoble, France, August 24-26, 2016, Revised Selected Papers / edited by Frédéric Desprez, Pierre-François Dutot, Christos Kaklamanis, Loris Marchal, Korbinian Molitorisz, Laura Ricci, Vittorio Scarano, Miguel A. Vega-Rodríguez, Ana Lucia Varbanescu, Sascha Hunold, Stephen L. Scott, Stefan Lankes, Josef Weidendorfer.

This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2016, held in Grenoble, France in August 2016. The 65 full papers presented were carefully reviewed and selected from 95 submissions. The volume includes the pa...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Desprez, Frédéric (Editor), Dutot, Pierre-François (Editor), Kaklamanis, Christos (Editor), Marchal, Loris (Editor), Molitorisz, Korbinian (Editor), Ricci, Laura (Editor), Scarano, Vittorio (Editor), Vega-Rodríguez, Miguel A. (Editor), Varbanescu, Ana Lucia (Editor), Hunold, Sascha (Editor), Scott, Stephen L. (Editor), Lankes, Stefan (Editor), Weidendorfer, Josef (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Theoretical Computer Science and General Issues ; 10104
Springer eBook Collection.
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Online Access:Click to view e-book
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Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Parallel and distributed computing education for undergraduate students.– Algorithms, models and tools for parallel computing on heterogeneous platforms
  • Multicore software engineering
  • Large-scale distributed virtual environments
  • Parallel and distributed agent-based simulations
  • Parallelism in bioinformatics.-Performance engineering for large-scale graph analytics
  • Reproducibility in parallel computing
  • Resilience in high performance computing in clusters, clouds, and grids
  • Runtime and operating systems for the many-core era)
  • UnConventional high-performance computing.