Computational Science ICCS 2022 1st edition by Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot ISBN ‎ 3031087569  978-3031087561
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Authors:Derek Groen; Clélia de Mulatier; Maciej Paszynski; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M. A. Sloot; Gerhard Goos; Juris Hartmanis; Elisa Bertino; Wen Gao; Bernhard Steffen; Moti Yung , Author sort:Groen, Derek & Mulatier, Clélia de & Paszynski, Maciej & Krzhizhanovskaya, Valeria V. & Dongarra, Jack J. & Sloot, Peter M. A. & Goos, Gerhard & Hartmanis, Juris & Bertino, Elisa & Gao, Wen & Steffen, Bernhard & Yung, Moti , Ids:DOI , Published:Published:Jun 2022
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ISBN 10: 3031087569
ISBN 13: 978-3031087561
Author: Derek Groen, Clélia de Mulatier, Maciej Paszynski, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot
The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.*
The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks.
*The conference was held in a hybrid format
Chapter “GPU Accelerated Modelling and Forecasting for Large Time Series” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Computational Science – ICCS 2022 1st Table of contents:
Preface
- Overview of ICCS 2022
- Organizing Committee and Sponsors
- Acknowledgments
Part 1: Advances in Computational Algorithms
Chapter 1: High-Performance Computing Algorithms
- Parallel Algorithms for Large-Scale Simulations
- Optimization Techniques for High-Efficiency Computing
Chapter 2: Numerical Methods for Partial Differential Equations
- Finite Element and Finite Difference Methods
- Adaptive Mesh Refinement Techniques
Chapter 3: Machine Learning and AI in Computational Science
- Deep Learning Applications in Scientific Computing
- Data-Driven Approaches to Simulation and Prediction
Chapter 4: Quantum Computing in Computational Science
- Quantum Algorithms for Simulations
- Challenges and Future Directions in Quantum Computing
Part 2: Applications in Natural Sciences
Chapter 5: Computational Physics
- Simulating Physical Systems: Classical and Quantum Approaches
- Computational Fluid Dynamics and Turbulence Modeling
Chapter 6: Computational Chemistry and Materials Science
- Molecular Modeling and Simulation Techniques
- Multi-Scale Modeling for Materials Design
Chapter 7: Biocomputing and Systems Biology
- Computational Models in Genomics and Bioinformatics
- Simulation of Biological Systems and Cellular Processes
Part 3: Applications in Engineering and Technology
Chapter 8: Computational Fluid Dynamics in Engineering
- Advances in CFD for Aerospace and Automotive Applications
- Numerical Simulations of Complex Flows
Chapter 9: Computational Structural Mechanics
- Modeling and Simulation of Structural Systems
- Finite Element Methods in Structural Analysis
Chapter 10: Computational Modeling in Environmental Science
- Climate Modeling and Environmental Impact Assessment
- Computational Tools for Sustainable Engineering
Part 4: Computational Methods for Data Science
Chapter 11: Big Data and High-Dimensional Data Analysis
- Techniques for Large-Scale Data Mining and Visualization
- Computational Statistics and Machine Learning for Data Science
Chapter 12: Simulation-Based Data Science
- Computational Methods for Synthetic Data Generation
- Predictive Modeling and Simulation of Complex Systems
Chapter 13: Computational Tools for Image and Signal Processing
- Advances in Image Processing Algorithms
- Signal Processing in Computational Systems
Part 5: Computational Science in Social Sciences and Humanities
Chapter 14: Computational Models in Social Science
- Agent-Based Modeling and Social Network Analysis
- Computational Economics and Game Theory
Chapter 15: Digital Humanities and Computational Linguistics
- Natural Language Processing in Humanities Research
- Computational Approaches to Historical Data Analysis
Part 6: Emerging Trends and Future Directions
Chapter 16: Cloud and Grid Computing in Computational Science
- The Role of Cloud and Grid Computing for Large-Scale Simulations
- Applications and Challenges in Distributed Computing
Chapter 17: Computational Science for Smart Cities and IoT
- Modeling and Simulating Urban Systems
- Computational Approaches to the Internet of Things
Chapter 18: Exascale Computing and Beyond
- Future Directions in Supercomputing and Exascale Applications
- Challenges in Scalability and Performance
Concluding Remarks
- Summary of Key Insights and Advances in Computational Science
- Looking Toward the Future: Emerging Challenges and Opportunities
Index
Author Index
- List of Authors and Contributors
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