Design of Low-Power Coarse-Grained Reconfigurable Architectures

by Yoonjin Kim, Rabi N. Mahapatra

Overview

Coarse-grained reconfigurable architecture (CGRA) has emerged as a solution for flexible, application-specific optimization of embedded systems. Helping you understand the issues involved in designing and constructing embedded systems, Design of Low-Power Coarse-Grained Reconfigurable Architectures offers new frameworks for optimizing the architect

Product Details

ISBN-13:	9781040196793
Publisher:	CRC Press
Publication date:	12/09/2010
Sold by:	Barnes & Noble
Format:	eBook
Pages:	223
File size:	5 MB

About the Author

Yoonjin Kim is an assistant professor in the Department of Computer Science at Sookmyung Women's University in Seoul, South Korea. Dr. Kim was previously a senior R&D staff member at Samsung Advanced Institute of Technology in Yongin, South Korea. He earned his Ph.D. in computer engineering from Texas A&M University. His research interests include embedded systems, computer architecture, VLSI/system-on-chip design, and hardware/software co-design.

Rabi N. Mahapatra is a professor in the Department of Computer Science and Engineering and director of the Embedded Systems and Codesign Laboratory at Texas A&M University in College Station. He is an associate editor of the ACM Transactions on Embedded Computing and an editorial board member of the International Journal on Information and Communication Technology. Dr. Mahapatra is also founder and chairman of the Bhubaneswar Institute of Technology (BIT) in India. His research interests include network on chip, system-on-chip reliability, low-power IP lookup architectures, and intention-based searching.

Table of Contents

Introduction. Trends in CGRA. CGRA for High Performance and Flexibility. Base CGRA Implementation. Power Consumption in CGRA. Low-Power Reconfiguration Technique. Dynamic Context Compression for Low-Power CGRA. Dynamic Context Management for Low-Power CGRA. Cost-Effective Array Fabric. Hierarchical Reconfigurable Computing Arrays. Integrated Approach to Optimize CGRA. Bibliography. Index.