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An Area Efficient and Low Power Consumption of Run Time Digital System Based on Dynamic Partial Reconfiguration
Digital signal processing besides multimedia applications needs plenty of data, real-time processing capacity, and high computational power. Thus, adaptable architectures with run-time reconfiguration abilities have gotten expanded consideration. Basically, Reconfiguration computing is going towards...
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Published in: | International journal of parallel programming 2020-06, Vol.48 (3), p.431-446 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Digital signal processing besides multimedia applications needs plenty of data, real-time processing capacity, and high computational power. Thus, adaptable architectures with run-time reconfiguration abilities have gotten expanded consideration. Basically, Reconfiguration computing is going towards advancing the application adaptability at runtime. A reconfigurable structure can be attained by working up the strategy aimed at configuring an array of programmable logic reprogramming. Field Programmable Gate Arrays (FPGAs) is made with the intention of reconfiguring the array system with interconnects as well as the configuration of logic blocks. To implement a high-performance FPGA device and also to enhance, the given paper proposes a proficient design strategy. The proposed strategy count upon the employment of dynamic partial reconfiguration (DPR) to drive from one mode then onto the next utilizing time-multiplexing on the same chip region. Furthermore, reconfigure modules to spare considerable area and enable the low-cost FPGAs usage. In the given work, reconfigurations of the modules accompanied by the memory are finished. The DPR is implemented betwixt these modes to shift from one mode then onto the next. The proposed method helps in diverse applications with various demands and also attains high performance, power consumption together with throughput. The proposed work gives improved performance with fewer powers and less area utilization which is illustrated by the Experimental outcomes. |
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ISSN: | 0885-7458 1573-7640 |
DOI: | 10.1007/s10766-018-0578-6 |