Euro-Par 2019: Parallel Processing

Ramin Yahyapour

ISBN 10: 3030293998 / ISBN 13: 9783030293994

Editore: Springer International Publishing Aug 2019, 2019

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This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019. The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; 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; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities. 552 pp. Englisch.

Codice articolo 9783030293994

Dati bibliografici

• Titolo: Euro-Par 2019: Parallel Processing
• Editore: Springer International Publishing Aug 2019
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 3030293998
• ISBN 13: 9783030293994
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

This book constitutes the proceedings of the 25th International Conference on Parallel and Distributed Computing, Euro-Par 2019, held in Göttingen, Germany, in August 2019.

The 36 full papers presented in this volume were carefully reviewed and selected from 142 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and deep learning; 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; algorithms and systems for bioinformatics; and algorithms and systems for digital humanities.