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Creativity in Computing and DataFlow SuperComputing
- 1st Edition, Volume 104 - January 2, 2017
- Editors: Suyel Namasudra, Veljko Milutinovic
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 8 1 1 9 5 5 - 6
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 1 9 5 6 - 3
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
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Request a sales quoteCreativity 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.
- 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
Researchers in high performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science
- 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
- No. of pages: 238
- Language: English
- Edition: 1
- Volume: 104
- Published: January 2, 2017
- Imprint: Academic Press
- Hardback ISBN: 9780128119556
- eBook ISBN: 9780128119563
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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.
Affiliations and expertise
Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, IndiaVM
Veljko Milutinovic
Prof. Veljko Milutinovic received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPA's first GaAs RISC microprocessor. Later he taught and conducted research at the University of Belgrade, Serbia, in ECE and MATH. Now he serves as the Senior Advisor to Maxeler Technologies in London, UK. His research is mostly in datamining and dataflow computing, with the emphasis on mappings of algorithms onto architectures. His co-authored paper on matrix multiplication for dataflow received "The IET Premium Award for 2014" (meaning the single best paper in IET Computing for 2012 and 2013). He is a Fellow of the IEEE and a Member of Academia Europaea. He has over 40 IEEE journal papers, over 40 other SCI journal papers, over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations.
Affiliations and expertise
University of Belgrade, Serbia; Member of Academia EuropaeaRead Creativity in Computing and DataFlow SuperComputing on ScienceDirect