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A Novel Analytical Model for Network-on-Chip using Semi-Markov ProcessWANG, J. , LI, Y. , PENG, Q. |
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Author keywords
multiprocessor interconnection, network-on-chip, semi-markov process, modeling, computer aided analysis
References keywords
chip(13), design(11), systems(9), networks(8), network(8), architecture(6), analytical(5), analysis(5), test(4), automation(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 111 - 118
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01018
Web of Science Accession Number: 000288761800018
SCOPUS ID: 79955967326
Abstract
Network-on-Chip (NoC) communication architecture is proposed to resolve the bottleneck of Multi-processor communication in a single chip. In this paper, a performance analytical model using Semi-Markov Process (SMP) is presented to obtain the NoC performance. More precisely, given the related parameters, SMP is used to describe the behavior of each channel and the header flit routing time on each channel can be calculated by analyzing the SMP. Then, the average packet latency in NoC can be calculated. The accuracy of our model is illustrated through simulation. Indeed, the experimental results show that the proposed model can be used to obtain NoC performance and it performs better than the state-of-art models. Therefore, our model can be used as a useful tool to guide the NoC design process. |
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[1] A system-level bandwidth design method for wormhole network-on-chip, Wang, Jian, Li, Yubai, Liao, Changjun, International Journal of Electronics, ISSN 0020-7217, Issue 11, Volume 103, 2016.
Digital Object Identifier: 10.1080/00207217.2016.1138542 [CrossRef]
[2] Mathematical formalisms for performance evaluation of networks-on-chip, Kiasari, Abbas Eslami, Jantsch, Axel, Lu, Zhonghai, ACM Computing Surveys, ISSN 0360-0300, Issue 3, Volume 45, 2013.
Digital Object Identifier: 10.1145/2480741.2480755 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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