Download Fuzzy Logic Based Power-Efficient Real-Time Multi-Core by Jameel Ahmed, Mohammed Yakoob Siyal, Shaheryar Najam, Zohaib PDF
By Jameel Ahmed, Mohammed Yakoob Siyal, Shaheryar Najam, Zohaib Najam
This ebook specializes in choosing the functionality demanding situations fascinated about desktop architectures, optimum configuration settings and analysing their effect at the functionality of multi-core architectures. featuring an influence and throughput-aware fuzzy-logic-based reconfiguration for Multi-Processor structures on Chip (MPSoCs) in either simulation and real-time environments, it truly is divided into significant components. the 1st half offers with the simulation-based energy and throughput-aware fuzzy good judgment reconfiguration for multi-core architectures, providing the result of a close research at the components impacting the facility intake and function of MPSoCs. In flip, the second one half highlights the real-time implementation of fuzzy-logic-based power-efficient reconfigurable multi-core architectures for Intel and Leone3 processors.
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Extra info for Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System
Example text
Block diagram od SIMD architecture is shown in Fig. 1. 2 Demand for High Performance Versus Power and Heat Dissipation The conventional trend for increasing the speed of the processor by increasing the operational frequency is way of past. In new era, designers are more focused toward the multi-core architecture. Using the multiple cores on single chip is advantageous in term of increasing the overall performance of the system, but nothing comes for free. With these multiple cores, power consumption and heat dissipation have been a crucial challenge for the designers.
In Proceedings of the 5th Annual International Systems and Storage Conference, page 7. ACM, 2012. References 45 5. Chung-hsing Hsu and Wu-chun Feng. A power-aware run-time system for high-performance computing. In Proceedings of the 2005 ACM/IEEE conference on Supercomputing, page 1. IEEE Computer Society, 2005. 6. Yuki Abe, Hiroshi Sasaki, Martin Peres, Koji Inoue, Kazuaki Murakami, and Shinpei Kato. Power and performance analysis of gpu-accelerated systems. In Presented as part of the 2012 Workshop on Power-Aware Computing and Systems, 2012.
In proposed work, cores were gatted using echo utility of Ubuntu operating system. 5 Results Results of FLC for INTEL architecture have been tested against available governors of Ubuntu. Benchmarks selected for the results includes both series and parallel benchmark. Prime objective of FLC is to reduce the power consumption. Results of power consumption are shown in Fig. 2. It is evident in the results that significant Fig. 2 Block diagram of fuzzy system 38 4 Real-Time Power and Performance-Aware System power can be reduced using FLC.