LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Advances in Computers
- 1st Edition, Volume 126 - March 24, 2022
- 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
Purchase options
Institutional subscription on ScienceDirect
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
- 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
- No. of pages: 256
- Language: English
- Edition: 1
- Volume: 126
- Published: March 24, 2022
- Imprint: Academic Press
- Hardback ISBN: 9780323988551
- eBook ISBN: 9780323988568
SN
Suyel Namasudra
Dr. Suyel Namasudra is 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, and a post-doctorate fellow at the International University of La Rioja (UNIR), Spain. He has received Ph.D. degree in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include blockchain technology, cloud computing, IoT, and DNA computing. Dr. Namasudra has edited 4 books, 5 patents, and 60 publications in conference proceedings, book chapters, and refereed journals like IEEE TII, IEEE T-ITS, IEEE TSC, IEEE TCSS, ACM TOMM, ACM TALLIP, FGCS, CAEE, and many more. He has served as a Lead Guest Editor/Guest Editor in many reputed journals like ACM TOMM (ACM, IF: 3.144), 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. Dr. Namasudra has participated in many international conferences as an Organizer and Session Chair. He is a member of IEEE, ACM, and IEI. Dr. Namasudra has been featured in the list of the top 2% scientists in the world in 2021 and 2022, and his h-index is 25.
Affiliations and expertise
Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, IndiaRead Advances in Computers on ScienceDirect