Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System

Ahmed, Jameel; Siyal, Mohammed Yakoob; Najam, Shaheryar; Najam, Zohaib

doi:10.1007/978-981-10-3120-5

Cited by 3 publications

(2 citation statements)

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“…During the defuzzification process, the centroid method is used to calculate the center of gravity (COG) of a particular membership function area. Averaging in the centroid method dilutes the control action and makes the controller less sensitive to minor variations [28]. The reference voltage is controlled by the output of the fuzzy controller; thus, a renewable energy source with more power provides greater power for the consumer.…”

Section: Control Algorithm Of Hybrid Power Supply Systemmentioning

confidence: 99%

Hybrid Power Supply System with Fuzzy Logic Controller: Power Control Algorithm, Main Properties, and Applications

Petrovic¹,

Lazic²,

Lazic³

et al. 2022

Journal of Modern Power Systems and Clean Energy

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This paper presents a novel power supply system based on the use of fuzzy inference logic to improve the power control of renewable energy sources. The system comprises renewable solar and wind sources, and an accumulator battery is used as an additional power source. The procedure for the parallel connection of multiple energy sources provides a stable power supply and optimal charging of the accumulative element. Renewable energy sources are connected in parallel using two serial converters and controlled by the controller based on the fuzzy logic. The reference voltage control of the serial converter enables an optimal use of available energy sources. The accumulative element is connected in parallel to compensate for the shortage of solar and wind energies, whereas if the available renewable energy exceeds the needs of the consumers, the surplus energy is accumulated in the battery. All measurements are conducted on the prototype of the hybrid power system under real conditions and compared with the applied systems of this type. This novel system is mainly used in remote telecom locations where there is no power distribution network.

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Section: Control Algorithm Of Hybrid Power Supply Systemmentioning

confidence: 99%

Hybrid Power Supply System with Fuzzy Logic Controller: Power Control Algorithm, Main Properties, and Applications

Petrovic¹,

Lazic²,

Lazic³

et al. 2022

Journal of Modern Power Systems and Clean Energy

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“…This is because of memory latency issue; therefore, determining the optimal frequency for any task is crucial. Various algorithms exploiting DVFS scheme have been presented by research community [8]- [14].…”

Section: Introductionmentioning

confidence: 99%

Run-Time Resource Management Controller for Power Efficiency of GP-GPU Architecture

Najam

Ahmed

Masood³

et al. 2019

IEEE Access

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The demand for high-performance computing (HPC) has been increasing since the invention of computing technology. This led to the invocation of sophisticated multi/many-core processors with high performance. Graphical processing units (GPUs) have emerged as an important innovation in the manycore era as it features a high number of processors. The GPU acts as a computational accelerator that can significantly reduce the computational time of the HPC, as it can offer standout parallelism for high-end computing applications such as graphics designing. However, increasing the resources has resulted in higher power consumption and heat dissipation which has been a challenging problem for modern HPC Units. On the other hand, because of the dynamic nature of workload, a large amount of parallelism, offered by these many-core processors, is often underutilized. An ideal system would be smart enough to efficiently utilize resources and save power where less workload is available. Reducing the resources dynamically has direct implications on the performance of the system. However, if less workload is available, reducing the resources would not harm the performance, rather it would save power with less to no trade-off in overall throughput of the system. In this paper, a smart power and performance efficient resource management controller for general purpose-GPU architecture is presented. The proposed controller, based on a feedback mechanism, keeps on analyzing the current frequency of central processing unit (CPU) and GPU, number of active cores of the CPU and utilization of CPU and GPU. On the basis of collected data, the proposed controller which features fuzzy type-2 as an optimizing mechanism tries to create a balance between performance and power consumption. The results are evaluated against various benchmarks on NVIDIA TK1 GPU kit and by using dynamic voltage and frequency scaling and core gating, up to 47 % reduction in power consumption has been achieved.

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Intelligent Online Configuration for DVFS Multiprocessor Architecture: Fuzzy Approach

Yousra

Samir

2019

Lecture Notes in Computer Science

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Fuzzy Logic Based Power-Efficient Real-Time Multi-Core System

Cited by 3 publications

References 0 publications

Hybrid Power Supply System with Fuzzy Logic Controller: Power Control Algorithm, Main Properties, and Applications

Hybrid Power Supply System with Fuzzy Logic Controller: Power Control Algorithm, Main Properties, and Applications

Run-Time Resource Management Controller for Power Efficiency of GP-GPU Architecture

Intelligent Online Configuration for DVFS Multiprocessor Architecture: Fuzzy Approach

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