Euro-Par 2021: Parallel Processing

Leonel Sousa

ISBN 10: 303085664X / ISBN 13: 9783030856649

Published by Springer, Springer Aug 2021, 2021

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, held in Lisbon, Portugal, in August 2021. The conference was held virtually due to the COVID-19 pandemic.The 38 full papers presented in this volume were carefully reviewed and selected from 136 submissions. They deal with parallel and distributed computing in general, focusing on compilers, tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; parallel numerical methods and applications; and high performance architecture and accelerators.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 672 pp. Englisch.

Seller Inventory # 9783030856649

Bibliographic Details

• Title: Euro-Par 2021: Parallel Processing
• Publisher: Springer, Springer Aug 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 303085664X
• ISBN 13: 9783030856649
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 36D millimeters 235 millimeters width by 155 millimeters height by 36 millimeters depth
• Weight: 1001 grams

About this title

Synopsis

This book constitutes the proceedings of the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, held in Lisbon, Portugal, in August 2021. The conference was held virtually due to the COVID-19 pandemic.

The 38 full papers presented in this volume were carefully reviewed and selected from 136 submissions. They deal with parallel and distributed computing in general, focusing on compilers, tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; parallel numerical methods and applications; and high performance architecture and accelerators.