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Euro-Par 2019: Parallel Processing Workshops [electronic resource] : Euro-Par 2019 International Workshops, Göttingen, Germany, August 26–30, 2019, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Theoretical Computer Science and General Issues ; 11997Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XVII, 763 p. 304 illus., 192 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030483401
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.39 23
  • 004.6 23
LOC classification:
  • TK7885-7895
  • TK5105.5-5105.9
Online resources:
Contents:
Auto-DASP - Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing -- COLOC - Workshop on Data Locality -- F2C-DP - Workshop on Fog-to-Cloud Distributed Processing -- FPDAPP - International Workshop on Future Perspectives of Decentralized Applications -- HeteroPar - Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms -- HPCN - Workshop on High Performance Computing and Networking in Aerospace -- LSDVE - Seventh Workshop on Large Scale Distributed Virtual Environments -- ParaMo - Workshop on Parallel Programming Models in HP Cloud -- PCDLifeS - Workshop on Parallel and Distributed Computing for Life Sciences: Algorithms, Methodologies and Tools -- PMACS - Workshop on Performance Monitoring and Analysis of Cluster Systems -- Resilience - Twelfth Workshop on Resiliency in High Performance Computing in Clouds, Grids, and Clusters -- Poster Papers.
In: Springer Nature eBookSummary: This book constitutes revised selected papers from the workshops held at 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, which took place in Göttingen, Germany, in August 2019. The 53 full papers and 10 poster papers presented in this volume were carefully reviewed and selected from 77 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects. Chapter "In Situ Visualization of Performance-Related Data in Parallel CFD Applications" is available open access under a Creative Commons Attribution4.0 International License via link.springer.com.
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Auto-DASP - Workshop on Autonomic Solutions for Parallel and Distributed Data Stream Processing -- COLOC - Workshop on Data Locality -- F2C-DP - Workshop on Fog-to-Cloud Distributed Processing -- FPDAPP - International Workshop on Future Perspectives of Decentralized Applications -- HeteroPar - Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms -- HPCN - Workshop on High Performance Computing and Networking in Aerospace -- LSDVE - Seventh Workshop on Large Scale Distributed Virtual Environments -- ParaMo - Workshop on Parallel Programming Models in HP Cloud -- PCDLifeS - Workshop on Parallel and Distributed Computing for Life Sciences: Algorithms, Methodologies and Tools -- PMACS - Workshop on Performance Monitoring and Analysis of Cluster Systems -- Resilience - Twelfth Workshop on Resiliency in High Performance Computing in Clouds, Grids, and Clusters -- Poster Papers.

This book constitutes revised selected papers from the workshops held at 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, which took place in Göttingen, Germany, in August 2019. The 53 full papers and 10 poster papers presented in this volume were carefully reviewed and selected from 77 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects. Chapter "In Situ Visualization of Performance-Related Data in Parallel CFD Applications" is available open access under a Creative Commons Attribution4.0 International License via link.springer.com.

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