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The Events Priority in the nMPRA and Consumption of Resources Analysis on the FPGACIOBANU, E.-E.
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architecture, operating systems, pipeline registers, interrupts, hardware scheduler
gaitan(11), hardware(9), architecture(9), nmpra(6), time(5), systems(5), system(5), research(5), implementation(5), technology(4)
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About this article
Date of Publication: 2018-02-28
Volume 18, Issue 1, Year 2018, On page(s): 137 - 144
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.01017
Web of Science Accession Number: 000426449500017
SCOPUS ID: 85043233566
The MPRA (Multi Pipeline Register Architecture) was modified and converted into n-task MPRA (nMPRA) by replicating the pipeline registers. While the original MPRA provided hardware scheduling, the interrupts and the events caused too long delays. The author proposes the original solutions for the interrupts and the events treatment, which represent the author's contribution to improving nMPRA; after the theoretical presentations of these solutions in the author's previous articles, this paper presents the implementations of the schemes, the results of the tests and the improved schemes. The MPRA, MPRA4 and MPRA8 implementations on FPGA (Field Programmable Gate Array) were used to evaluate performances. A detailed analysis, partially presented in this paper, shows other advantages: no extra software is required, the hardware implementation is simple, the interrupts and events are similarly handled and the tasks synchronizations and communications are completely based on hardware; MPRA has a low power consumption, even multiplied by eight times, it is reasonably necessary memory and logic resource consumption multiplied by about four times at MPRA4 (compared to MPRA) and by about eight times at MPRA8.
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 Synthesis analysis and evaluation of hardware scheduler based on different scheduling algorithms, Zagan, Ionel, 2018 International Conference on Development and Application Systems (DAS), ISBN 978-1-5386-1493-8, 2018.
Digital Object Identifier: 10.1109/DAAS.2018.8396064 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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