Creativity in Computing and DataFlow SuperComputing
- 1st Edition, Volume 104 - January 2, 2017
- Latest edition
- Editors: Suyel Namasudra, Veljko Milutinovic
- Language: English
Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in c… Read more
Early spring sale
Nurture your knowledge
Grow your expertise with up to 25% off trusted resources.
Description
Description
Creativity in Computing and DataFlow Supercomputing, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore topics in greater depth and breadth than journal articles typically allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.
Key features
Key features
- Provides in-depth surveys and tutorials on new computer technology
- Presents well-known authors and researchers in the field
- Includes extensive bibliographies with most chapters
- Contains extensive chapter coverage that is devoted to single themes or subfields of computer science
Readership
Readership
Table of contents
Table of contents
- Preface
- Chapter One: A Systematic Approach to Generation of New Ideas for PhD Research in Computing
- Abstract
- 1 Introduction
- 2 Classification of Innovation Methods
- 3 Representative Examples From the Authors’ PhD Theses
- 4 Conclusions
- Acknowledgments
- Methodology-Related References
- Common Examples
- Author's PhD-Related References
- Selected References of Young Researchers on the Faculty of the Department of Computer Engineering and Informatics, School of Electrical Engineering, University of Belgrade
- Chapter Two: Exploring Future Many-Core Architectures: The TERAFLUX Evaluation Framework
- Abstract
- 1 Introduction
- 2 Terminology and Related Work
- 3 COTSon Framework Organization
- 4 Targeting a 1000-Core Simulation
- 5 How to Simulate 1000 Cores
- 6 The Search for “Efficient Benchmarks”
- 7 Simulation Experiments
- 8 Conclusions
- Acknowledgments
- Chapter Three: Dataflow-Based Parallelization of Control-Flow Algorithms
- Abstract
- 1 Introduction
- 2 Problem Statement
- 3 Dataflow Approaches and the Feynman Paradigm
- 4 Existing Solutions and Their Criticism
- 5 Exploring Dataflow Potentials
- 6 Performance Evaluation
- 7 Conclusions
- Acknowledgments
- Appendix
- Chapter Four: Data Flow Computing in Geoscience Applications
- Abstract
- 1 Introduction
- 2 Data Flow Computing in HPC
- 3 Geoscience Applications in HPC
- 4 Case Study 1: Global Shallow Water Equations
- 5 Case Study 2: Euler Atmospheric Equations
- 6 Case Study 3: Reverse Time Migration
- 7 Summary and Concluding Remarks
- Acknowledgments
- Appendix
- Chapter Five: A Streaming Dataflow Implementation of Parallel Cocke–Younger–Kasami Parser
- Abstract
- 1 Introduction
- 2 Problem Statement
- 3 Existing Solutions and Their Criticism
- 4 A Dataflow Implementation of a CYK Parser
- 5 Performance Analysis
- 6 Conclusion
- Acknowledgment
- Appendix
- Author Index
- Subject Index
- Contents of Volumes in this Series
Product details
Product details
- Edition: 1
- Latest edition
- Volume: 104
- Published: January 2, 2017
- Language: English
About the editors
About the editors
SN
Suyel Namasudra
Suyel Namasudra has received Ph.D. degree from the National Institute of Technology Silchar, Assam, India. He was a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. Currently, Dr. Namasudra is working as an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Agartala, Tripura, India. Before joining the National Institute of Technology Agartala, Dr. Namasudra was an assistant professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. His research interests include blockchain technology, cloud computing, DNA computing, and information security. Dr. Namasudra has edited 7 books, 5 patents, and 85 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE TCE, IEEE T-ITS, IEEE TSC, IEEE TCSS, IEEE TCBB, ACM TOMM, ACM TOSN, ACM TALLIP, FGCS, CAEE, and many more. He is the Editor-in-Chief of the Cloud Computing and Data Science (ISSN: 2737-4092 (online)) journal. Dr. Namasudra has served as a Lead Guest Editor/Guest Editor in many reputed journals like IEEE TCE (IEEE, IF: 4.3), IEEE TBD (IEEE, IF: 7.2), ACM TOMM (ACM, IF: 3.144), MONET (Springer, IF: 3.426), CAEE (Elsevier, IF: 3.818), CAIS (Springer, IF: 4.927), CMC (Tech Science Press, IF: 3.772), Sensors (MDPI, IF: 3.576), and many more. He has also participated in many international conferences as an organizer and session chair. Dr. Namasudra is a senior member of IEEE, and a member of ACM and IEI. He has been featured in the list of the top 2% scientists in the world in 2021, 2022, and 2023. His h-index is 37.
VM