Advances in Computers
- 1st Edition, Volume 126 - March 24, 2022
- Imprint: Academic Press
- Editor: Suyel Namasudra
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 8 8 5 5 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 8 8 5 6 - 8
Advances in Computers, Volume 126 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on VLSI f… Read more
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Request a sales quoteAdvances in Computers, Volume 126 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on VLSI for Super-Computing: Creativity in R+D from Applications and Algorithms to Masks and Chips, Bulk Bitwise Execution Model in Memory: Mechanisms, Implementation, and Evaluation, Embracing the Laws of Physics: Three Reversible Models of Computation, WSNs in Environmental Monitoring: Data Acquisition and Dissemination Aspects, Energy efficient implementation of tensor operations using dataflow paradigm for machine learning, and A Run-Time Job Scheduling Algorithm for Cluster Architectures with DataFlow Accelerators.
- Contains novel subject matter that is relevant to computer science
- Includes the expertise of contributing authorsPresents an easy to comprehend writing style
Researchers in high performance computer areas, hardware manufacturers, educational programs in physics and scientific computation and in computer science
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Chapter One: VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips
- Abstract
- 1: Introduction
- 2: From algorithms to implementations
- 3: Teaching experiences
- 4: Creativity in computing
- 5: The ultimate DataFlow
- 6: Conclusion
- Acknowledgment
- References
- Chapter Two: Embracing the laws of physics: Three reversible models of computation
- Abstract
- 1: Reversibility, the missing principle
- 2: Data I: Finite sets
- 3: Data II: Structured finite types
- 4: Data III: Reversible programs between reversible programs
- 5: Further thoughts and conclusions
- References
- Chapter Three: WSNs in environmental monitoring: Data acquisition and dissemination aspects
- Abstract
- 1: Introduction
- 2: WSNs and their position in environmental monitoring
- 3: WSN-based WQM systems
- 4: WSN-based AQM systems
- 5: Discussion: Observations, challenges and future improvements
- References
- Chapter Four: Energy efficient implementation of tensor operations using dataflow paradigm for machine learning
- Abstract
- 1: Introduction
- 2: Compute-intensive machine learning algorithms
- 3: Basic tensor operations for machine learning
- 4: Dataflow paradigm
- 5: Energy efficient implementations of tensor operations
- 6: Performance evaluation
- 7: Conclusion
- References
- Chapter Five: A runtime job scheduling algorithm for cluster architectures with dataflow accelerators
- Abstract
- 1: Introduction
- 2: Problem statement: Scheduling jobs on clusters with DataFlow hardware
- 3: Essence of the proposed solution and its potentials
- 4: Experimental analysis of the proposed solution
- 5: Conclusions
- Acknowledgments
- Appendix
- References
- Edition: 1
- Volume: 126
- Published: March 24, 2022
- No. of pages (Hardback): 256
- No. of pages (eBook): 256
- Imprint: Academic Press
- Language: English
- Hardback ISBN: 9780323988551
- eBook ISBN: 9780323988568
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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, IndiaRead Advances in Computers on ScienceDirect