Euro-Par 2022 : parallel processing : 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings / José Cano, Phil Trinder (eds.).
2022
QA76.58
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Title
Euro-Par 2022 : parallel processing : 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 22-26, 2022, Proceedings / José Cano, Phil Trinder (eds.).
ISBN
9783031125973 (electronic bk.)
3031125975 (electronic bk.)
9783031125966 (print)
3031125975 (electronic bk.)
9783031125966 (print)
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource (XXXIII, 420 pages. 172 illustrations, 150 illustrations in color.)
Other Standard Identifiers
10.1007/978-3-031-12597-3 doi
Call Number
QA76.58
Dewey Decimal Classification
004/.35
Summary
This book constitutes the proceedings of the 28th International Conference on Parallel and Distributed Computing, Euro-Par 2022, held in Vienna, Austria, in August 2022. The 25 full papers presented in this volume were carefully reviewed and selected from 102 submissions. The conference Euro-Par 2022 covers all aspects of parallel and distributed computing, ranging from theory to practice, scaling from the smallest to the largest parallel and distributed systems, from fundamental computational problems and models to full-fledged applications, from architecture and interface design and implementation to tools, infrastructures and applications.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 3, 2022).
Added Author
Cano, José, editor.
Trinder, Phil, editor.
Trinder, Phil, editor.
Series
Lecture notes in computer science ; 13440. 1611-3349
Lecture notes in computer science. Advanced research in computing and software science.
Lecture notes in computer science. Advanced research in computing and software science.
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Table of Contents
Compilers, Tools and Environments
Performance and Power Modeling, Prediction and Evaluation
Scheduling and Load Balancing
Data Management, Analytics and Machine Learning
Cluster and Cloud Computing
Theory and Algorithms for Parallel and Distributed Processing
Parallel and Distributed Programming, Interfaces, and Languages
Multicore and Manycore Parallelism
Parallel Numerical Methods and Applications. .
Performance and Power Modeling, Prediction and Evaluation
Scheduling and Load Balancing
Data Management, Analytics and Machine Learning
Cluster and Cloud Computing
Theory and Algorithms for Parallel and Distributed Processing
Parallel and Distributed Programming, Interfaces, and Languages
Multicore and Manycore Parallelism
Parallel Numerical Methods and Applications. .