Advances in Computers: Volume 63
Parallel, Distributed, and Pervasive Computing
Published on 19. May 2005
Book
Hardback
312 pages
978-0-12-012163-2 (ISBN)
Description
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
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
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Graduate students seeking research topics.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
540 gr
ISBN-13
978-0-12-012163-2 (9780120121632)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
A. R. Hurson | Marvin V. Zelkowitz
Advances in Computers
Parallel, Distributed, and Pervasive Computing
E-Book
12/2005
Academic Press
€149.00
Available for download
Persons
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.
Content
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).
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).