Advances in Computers: Parallel, Distributed, and Pervasive Computing

by Marvin Zelkowitz Ph.D., MS, BS., Suyel Namasudra

Overview

The term computation gap has been defined as the difference between the computational power demanded by the application domain and the computational power of the underlying computer platform. Traditionally, closing the computation gap has been one of the major and fundamental tasks of computer architects. However, as technology advances and computers become more pervasive in the society, the domain of computer architecture has been extended. The scope of research in the computer architecture is no longer restricted to the computer hardware and organization issues. A wide spectrum of topics ranging from algorithm design to power management is becoming part of the computer architecture. Based on the aforementioned trend and to reflect recent research efforts, attempts were made to select a collection of articles that covers different aspects of contemporary computer architecture design. This volume of the Advances in Computers contains six chapters on different aspects of computer architecture.

Key features:

• Wide range of research topics
• Coverage of new topics such as power management, Network on Chip, Load balancing in distributed systems, and pervasive computing
• Simple writing style

Product Details

ISBN-13:	9780120121632
Publisher:	Elsevier Science
Publication date:	04/19/2005
Series:	Advances in Computers , #63
Pages:	312
Product dimensions:	6.20(w) x 9.10(h) x 1.10(d)

About the Author

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.

Table of Contents

Contributors. Preface.

1. Techniques to Improve Performance Beyond Pipelining: Superpipelining, Superscalar, and VLIW, (J.-L. Gaudiot, J.-Y. Kang, W.W. Ro). 2. Networks on Chip (NoC): Interconnects of next generation Systems on Chip, (T. Theocharides, G.M. Link, V. Narayanan, M.J. Irwin). 3. Characterizing Resource Allocation Heuristics for Heterogeneous Computing Systems, S. Ali, T.D. Braun, H.J. Seigel, A.A. Maciejewski, N. Beck, L. Boloni, M. Maheswaran, A.I. Reuther, J.P. Robertson, M.D. Theys, B. Yao) . 4. Power Analysis and Optimization Techniques for Energy Efficient Computer Systems, (W. Chedid, C. Yu, B. Lee) . 5. Flexible and Adaptive Services in Pervasive Computing, (B.Y. Sung, M. Kumar, B. Shirazi) . 6. Search and Retrieval of Compressed Text, A. Mukherjee, N. Zhang, T. Tao, R.V. Satya, W. Sun).