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Euro-Par 2022: Parallel Processing: 28th International Conference on Parallel and Distributed Computing, Glasgow, UK, August 2226, 2022, Proceedings 1st ed. 2022 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 420 pages, height x width: 235x155 mm, weight: 700 g, 150 Illustrations, color; 22 Illustrations, black and white; XXXIII, 420 p. 172 illus., 150 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13440
  • Izdošanas datums: 01-Aug-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031125967
  • ISBN-13: 9783031125966
  • Mīkstie vāki
  • Cena: 64,76 €*
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  • Formāts: Paperback / softback, 420 pages, height x width: 235x155 mm, weight: 700 g, 150 Illustrations, color; 22 Illustrations, black and white; XXXIII, 420 p. 172 illus., 150 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13440
  • Izdošanas datums: 01-Aug-2022
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031125967
  • ISBN-13: 9783031125966
This book constitutes the proceedings of the 33rd International Conference on Parallel and Distributed Computing, Euro-Par 2022, held in GLasgow, UK, 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.





 
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.