Advances in Computers

Advances in Computers

1st Edition - March 24, 2022

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  • Editor: Ali Hurson
  • Hardcover ISBN: 9780323988551
  • eBook ISBN: 9780323988568

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Advances 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.

Key Features

  • 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

Table of Contents

  • 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

Product details

  • No. of pages: 256
  • Language: English
  • Copyright: © Academic Press 2022
  • Published: March 24, 2022
  • Imprint: Academic Press
  • Hardcover ISBN: 9780323988551
  • eBook ISBN: 9780323988568

About the Editor

Ali Hurson

Ali Hurson
A. R. Hurson is currently a professor and Chair of Computer Science department at Missouri S&T. Before joining Missouri S&T, he was a professor of Computer Science and Engineering department at The Pennsylvania State University. His research for the past 30 years has been directed toward the design and analysis of general as well as special purpose computer architectures. His research has been supported by NSF, DARPA, the Department of Education, the Air Force, the Office of Naval Research, Oak Ridge National Laboratory, NCR Corp., General Electric, IBM, Lockheed Martin, Pennsylvania State University, and Missouri S & T. He has published over 300 technical papers in areas including multidatabases, global information sharing and processing, application of mobile agent technology, object oriented databases, mobile and pervasive computing environment, sensor and ad-hoc networks, computer architecture and cache memory, parallel and distributed processing, dataflow architectures, and VLSI algorithms. Dr. Hurson served as the Guest Co-Editor of special issues of the IEEE Proceedings on Supercomputing Technology, the Journal of Parallel and Distributed Computing on Load Balancing and Scheduling, the journal of integrated computer-aided engineering on multidatabase and interoperable systems, IEEE Transactions on Computers on Parallel Architectures and Compilation Techniques, Journal of Multimedia Tools and Applications, and Journal of Pervasive and Mobile Computing. He is the co-author of the IEEE Tutorials on Parallel Architectures for Database Systems, Multidatabase systems: An advanced solution for global information sharing, Parallel architectures for data/knowledge base systems, and Scheduling and Load Balancing in Parallel and Distributed Systems. He is also the guest Editor of advances in computers for Parallel, Distributed, and Pervasive Computing. Hurson is the Co-founder of the IEEE Symposium on Parallel and Distributed Processing (currently IPDPS) and IEEE conference on Pervasive Computing and Communications. Professor Hurson has been active in various IEEE/ACM Conferences and has given tutorials and invited lectures for various conferences and organizations on global information sharing, database management systems, supercomputer technology, data/knowledge-based systems, dataflow processing, scheduling and load balancing, parallel computing, and Pervasive computing. He served as a member of the IEEE Computer Society Press Editorial Board, an IEEE Distinguished speaker, editor of IEEE transactions on computers, editor of Journal of Pervasive and Mobile Computing, and IEEE/ACM Computer Sciences Accreditation Board. Currently, he is serving as an ACM distinguished speaker, area editor CSI Journal of Computer Science and Engineering, and Co-Editor-in-Chief Advances in Computers.

Affiliations and Expertise

Professor and Chair of Computer Science Department, Missouri University of Science and Technology, Rolla, MO, USA

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