Reliable and Energy Efficient Streaming Multiprocessor Systems [Hardcover]

This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. ?Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. ?The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.

Chapter 1. Introduction.- chapter 2.Operational Semantics of Application and Reliability Model.- Chapter 3.Literature Survey on System-level Optimizations Techniques.- Chapter 4.Reliability and Energy-Aware Platform-Based Multiprocessor Design.- Chapter 5.Reliability and Energy-Aware Co-design of Multiprocessor Systems.- Chapter 6.Design-time Analysis for Fault-Tolerance.- Chapter 7.Run-time Adaptations for Lifetime Improvement.- chapter 8.Conclusions and Future Directions.

Anup Kumar Das is an Assistant Professor at Drexel University. He received a Ph.D. in Embedded Systems from National University of Singapore in 2014. Prior to his Ph.D., he was a research engineer for more than 7 years at ST Microelectronics (India and Grenoble) and LSI Corporation (India). Following his Ph.D., he was a post-doctoral fellow at the University of Southampton from 2014 to 2015 and a researcher at IMEC from 2015 to 2017. His research focuses on neuromorphic computing, from algorithm development to architectural exploration.? His other research interests include System-level design techniques for lifetime and energy optimization, Soft-error tolerance of FPGA configuration bitstream, Synchronous data flow graph based task mapping and scheduling, Probabilistic energy and performance optimization of multiprocessor systems, architectural adaptations for lifetime improvement of ml£&