Parallel Processing and Applied Mathematics 15th International Conference, PPAM 2024, Ostrava, Czech Republic, September 8-11, 2024, Revised Selected Papers, Part III

This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8 11, 2024.

The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections:
Part I : Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPC
Systems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing.
Part II : First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication.
Part III : First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical
Sciences; and 8th Workshop on Complex Collective Systems.

Riassunto

This book constitutes the refereed proceedings of the 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held in Ostrava, Czech Republic, during September 8–11, 2024.


The 75 full papers included in this book were carefully reviewed and selected from 134 submissions. . The papers are organized in the following topical sections:


Part I : Numerical Algorithms and Parallel Scientific Computing; Architectural Aspects of HPC; Parallel Non-numerical Algorithms; GPU Computing; Performance Analysis and Prediction in HPC


Systems; Environments and Frameworks for Parallel/Cloud/Edge Computing; and Applications of Parallel and Distributed Computing.

Part II : First PPAM Workshop on RISC-V (RISC-V PPAM 2024); Special Session on Scheduling for Parallel Computing; 10th Workshop on Language-Based Parallel Programming (WLPP 2024); 7th Workshop on Models Algorithms and Methodologies for Hybrid Parallelism in New HPC Systems (MAMHYP 2024); and Second Workshop on Quantum Computing and Communication.

Part III : First Workshop on Advancements of Global Challenges Application; Second Workshop on Applications of Machine Learning and Artificial Intelligence in High Performance Computing; 5th Workshop on Applied High Performance Numerical Algorithms for PDEs; Special Session on Parallel EVD/SVD and its Application in Matrix Computations; 6th Minisymposium on HPC Applications in Physical


Sciences; and 8th Workshop on Complex Collective Systems.

Dettagli sul prodotto

• Con la collaborazione di: Roman Wyrzykowski (Editore), Jack Dongarra (Editore), Ewa Deelman (Editore), Konrad Karczewski (Editore), Ewa Deelman et al (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 31.03.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
• EAN: 9783031857027
• ISBN: 978-3-0-3185702-7
• Numero di pagine: 360
• Illustrazioni: XIX, 360 p. 134 illus., 117 illus. in color.
• Dimensioni (della confezione): 15.5 x 2.1 x 23.5 cm
• Peso (della confezione): 575 g
• Serie: Lecture Notes in Computer Science
• Categorie: machine learning, Artificial Intelligence, accelerators, Cloud Computing, Quantum Computing, Applied mathematics, Numerical Algorithms, parallel architectures, parallel programming, Parallel Algorithms, High Performance Computing, Performance Analysis, post-Moore era, multi- and manycore architectures, energy efficient computing, parallel scientific computing, heterogeneous systems, GPUs, scheduling for parallel computing, applications of parallel computing