Reconfigurable Computing Systems Engineering: Virtualization of Computing Architecture

Author:   Lev Kirischian (Ryerson University, Toronto, Ontario, Canada)
Publisher:   Taylor & Francis Inc
ISBN:  

9781439856215


Pages:   320
Publication Date:   24 May 2016
Format:   Hardback
Availability:   In Print   Availability explained
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Reconfigurable Computing Systems Engineering: Virtualization of Computing Architecture


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Overview

Reconfigurable Computing Systems Engineering: Virtualization of Computing Architecture describes the organization of reconfigurable computing system (RCS) architecture and discusses the pros and cons of different RCS architecture implementations. Providing a solid understanding of RCS technology and where it’s most effective, this book: Details the architecture organization of RCS platforms for application-specific workloads Covers the process of the architectural synthesis of hardware components for system-on-chip (SoC) for the RCS Explores the virtualization of RCS architecture from the system and on-chip levels Presents methodologies for RCS architecture run-time integration according to mode of operation and rapid adaptation to changes of multi-parametric constraints Includes illustrative examples, case studies, homework problems, and references to important literature A solutions manual is available with qualifying course adoption. Reconfigurable Computing Systems Engineering: Virtualization of Computing Architecture offers a complete road map to the synthesis of RCS architecture, exposing hardware design engineers, system architects, and students specializing in designing FPGA-based embedded systems to novel concepts in RCS architecture organization and virtualization.

Full Product Details

Author:   Lev Kirischian (Ryerson University, Toronto, Ontario, Canada)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.816kg
ISBN:  

9781439856215


ISBN 10:   1439856214
Pages:   320
Publication Date:   24 May 2016
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

Other texts having a similar focus tend to become entangled in technical details relating to a particular programming language, set of computer aided design tools, or device technology. As a result, these texts usually have a relatively short shelf life before they become obsolete. This text, on the other hand, is unique in that it stays within the realm of concepts and top-level design analysis and methodology, allowing it to be, and remain, applicable and relevant over a wide range of technologies. -Dr. Jason D. Bakos, University of South Carolina, Columbia, USA The systematic representation of material, the detailed discussion of the main concepts, and the analysis of pros/cons of different approaches in architecture virtualization and static and dynamic integration will make this book very useful for engineers and students specializing in the development and design of field-programmable gate array (FPGA)-based reconfigurable computing systems. -From the Foreword by Dr. Karen Safaryan, Vice President and Chief Technology Officer, Unique Broadband Systems, Ltd. and Director of R&D and Engineering, UBS-Axcera, Inc. Canada


Author Information

Lev Kirischian, Ph.D, P.Eng, Member IEEE, has been affiliated with Ryerson University, Canada for 18 years. His research involves dynamically reconfigurable computing systems, automated architectural synthesis of data-stream processors, and workload-adaptive and self-healing reconfigurable architectures. He participated in the research and development of the first-generation Soviet supercomputers with reconfigurable architectures in the 1980s, FPGA-based segment of COFDM modulation technology for digital audio/video broadcasting systems for satellite and terrestrial networks (used in the SiriusXM satellite radio network), workload adaptive and self-restorable space-borne embedded computer platforms, and 3D-panoramic machine vision systems, among other technologies. In the last decade, he has developed and taught several courses associated with high-performance and reconfigurable computing as well as high-level synthesis of application-specific processors.

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