Details
Energy Efficient Embedded Video Processing Systems
A Hardware-Software Collaborative Approach|
96,29 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 17.09.2017 |
| ISBN/EAN: | 9783319614557 |
| Sprache: | englisch |
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Beschreibungen
<p>This book provides its readers with the means to implement energy-efficient video systems, by using different optimization approaches at multiple abstraction levels. The authors evaluate the complete video system with a motive to optimize its different software and hardware components in synergy, increase the throughput-per-watt, and address reliability issues. Subsequently, this book provides algorithmic and architectural enhancements, best practices and deployment models for new video systems, while considering new implementation paradigms of hardware accelerators, parallelism for heterogeneous multi- and many-core systems, and systems with long life-cycles. Particular emphasis is given to the current video encoding industry standard H.264/AVC, and one of the latest video encoders (High Efficiency Video Coding, HEVC).</p>
<p>Chapter 1. Introduction.- Chapter 2. Background and State-of-the-Art.- Chapter 3. Energy-Efficient Video System Design.- Chapter 4. Energy-Efficient Software Design for Video Systems.- Chapter 5. Energy-Efficient Hardware Design for Video Systems.- Chapter 6. Benchmarks, Results and Analysis.- Chapter 7. Conclusion and Future Outlook.- Appendix A.- Appendix B.- Appendix C.</p>
<p>Muhammad Usman Karim Khan is a Software Performance Analyst in IBM Deutschland</p> <p>Research & Development GmbH, Böblingen, Germany, since Nov. 2015. His responsibilities include leading a performance analysis group, collaboration with international teams, investigating enterprise software bottlenecks and reporting analysis to different teams, determining software-level best-practices and configurations to efficiently utilize hardware resources, investigating use-cases for hardware accelerators. </p> <p> </p> <p>Muhammad Shafique is a Professor in the Embedded Computing Systems Group, of the Department of Computer Engineering, at Vienna University of Technology. He received his Ph.D. in Computer Science from Karlsruhe Institute of Technology (KIT) , Germany in 2011. Before, he was with Streaming Networks Pvt. Ltd. (2003-06) and WorldCall Multimedia (2001). Mr. Shafique received his B.Sc. Engineering degree (4 Gold Medals) from University of Engineering and Technology (UET) Lahore, Pakistan in 2000. He then completed his Masters in Information Technology (2 Gold Medals) from Pakistan Institute of Engineering and Applied Sciences (PIEAS) in 2003. He has also acquired an in-depth understanding of various video coding standards (HEVC , H.264/AVC , MVC, MPEG-1/2/4).</p> <p> </p> <p>Prof. Dr. Jörg Henkel is currently with Karlsruhe Institute of Technology (KIT), Germany, where he is directing the Chair for Embedded Systems CES. Before, he was a Senior Research Staff Member at NEC Laboratories in Princeton, NJ. He received his PhD from Braunschweig University with "Summa cum Laude".</p> <p> </p> <p>Prof. Henkel has/is organizing various embedded systems and low power ACM/IEEE conferences/symposia as General Chair and Program Chair and was a Guest Editor on these topics in various Journals like the IEEE Computer Magazine.</p> <p>He was Program Chair of CODES'01, RSP'02, ISLPED’06, SIPS'08 and CASES'09, Estimedia'11, VLSI Design'12, ICCAD’12, PATMOS’13, NOCS’14 and served as General Chair for CODES'02, ISLPED’09 and Estimedia’12, ICCAD’13. He is/has been a steering committee member of major conferences in the embedded systems field like at ICCAD, ISLPED, Codes+ISSS, CASES and is/has been an editorial board member of various journals like the IEEE TVLSI, IEEE TCAD, JOLPE etc.</p> <p> </p> <p>In recent years, Prof. Henkel has given several keynotes at various international conferences primarily with focus on embedded systems dependability. He has given full/half-day tutorials at leading conferences like DAC, ICCAD, DATE etc. Prof. Henkel received the 2008 DATE Best Paper Award, the 2009 IEEE/ACM William J. Mc Calla ICCAD Best Paper Award, the Codes+ISSS 2011 Best Paper Award and the MaXentric Technologies AHS 2011 Best Paper Award as well as the DATE 2013 Best IP Award and the DAC 2014 Designer Track Best Poster Award. He is the Chairman of the IEEE Computer Society, Germany Section, and was the Editor-in-Chief of the ACM Transactionson Embedded Computing Systems (ACM TECS) for two consecutive terms.</p> <p>He is an initiator and the coordinator of the German Research Foundation's (DFG) program on 'Dependable Embedded Systems' (SPP 1500). He is the site coordinator (Karlsruhe site) of the Three- University Collaborative Research Center on "Invasive Computing" (DFG TR89). Since 2012 he is an elected Board Member of the German Research Foundation’s (DFG) board on “Computer Architecture and Embedded Systems. He holds ten US patents.</p>
<p>This book provides its readers with the means to implement energy-efficient video systems, by using different optimization approaches at multiple abstraction levels. The authors evaluate the complete video system with a motive to optimize its different software and hardware components in synergy, increase the throughput-per-watt, and address reliability issues. Subsequently, this book provides algorithmic and architectural enhancements, best practices and deployment models for new video systems, while considering new implementation paradigms of hardware accelerators, parallelism for heterogeneous multi- and many-core systems, and systems with long life-cycles. Particular emphasis is given to the current video encoding industry standard H.264/AVC, and one of the latest video encoders (High Efficiency Video Coding, HEVC).</p>
Covers multiple aspects of the complete video processing system and provides a comprehensive guide for designing the system under throughput and energy constraints Highlights new paradigms of system design for embedded video processing, such as hardware accelerator scheduling, heterogeneous multi-cores and content-dependent memory degradation Analyzes video applications in depth, specifically the impact of parallelism on the output quality and investigation of workload variations at runtime Includes supplementary material: sn.pub/extras
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