Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System, 1st ed. 2017 SpringerBriefs in Computational Intelligence Series

This book focuses on identifying the performance challenges involved in computer architectures, optimal configuration settings and analysing their impact on the performance of multi-core architectures. Proposing a power and throughput-aware fuzzy-logic-based reconfiguration for Multi-Processor Systems on Chip (MPSoCs) in both simulation and real-time environments, it is divided into two major parts. The first part deals with the simulation-based power and throughput-aware fuzzy logic reconfiguration for multi-core architectures, presenting the results of a detailed analysis on the factors impacting the power consumption and performance of MPSoCs. In turn, the second part highlights the real-time implementation of fuzzy-logic-based power-efficient reconfigurable multi-core architectures for Intel and Leone3 processors.  

Multiprocessors and Cache Memory.- Energy Delay Product and Throughput.- Challenges and Issues in Modern Computer Architectures.- Real-Time Power And Performance Aware System.- Fuzzy Logic Theory. 

Prof Dr Jameel Ahmed received his BS and MS degrees, respectively, in Electronic Engineering and Electrical Engineering from NED University of Engineering & Technology, Karachi, and from the National University of Sciences & Technology (NUST), Pakistan. He later secured a joint PhD degree in Communication Engineering from Hamdard University, Pakistan and Nanyang Technological University (NTU), Singapore. In addition, he pursued a Post Doctorate Fellowship at the School of EEE, Nanyang Technological University (NTU), Singapore. Dr Ahmed has 24 years of professional experience to his credit in the field of teaching & research at undergraduate and graduate levels. He is also the author of four books and various research papers in international journals and conferences. Presently, he is carrying out research as a Principal Investigator on a funded project, and is a Professor and Dean of the Faculty of Engineering & Applied Sciences at Riphah International University in Islamabad-Pakistan.

Presents a new approach to fuzzy-logic-based reconfigurable multi-core architectures for power efficiency