Cited By
View all- Chaurasia ASehgal V(2015)Optimal buffer-size by synthetic self-similar traces for different traffics for NoCACM SIGBED Review10.1145/2815482.281548312:3(6-12)Online publication date: 17-Aug-2015
Network-on-chip traffic modeling for data flow applications
Article No.: 2, Pages 1 - 6
Abstract
Network traffic modeling is largely used for investigating Network-on-Chip characteristics and performances. When traffic patterns, based on real applications, are accurate but long to obtain and limited in terms of flexibility, synthetic traffics are flexible but do not offer the required accuracy.
In this paper, we present a new traffic model with more accuracy than synthetic patterns and more flexibility than those based on real applications. It introduces concepts used in data-flow applications such as data dependencies and tasks locality. In a 3GPP-LTE application test case, we demonstrated that our model is more accurate than synthetic traffics. Indeed, the difference between our model and the application can be less than 1%, while, the difference between synthetic traffics and the application is up to 54%. Moreover, our proposal can be 33% faster than realistic traffics.
References
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Index Terms
- Network-on-chip traffic modeling for data flow applications
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Published In
January 2013
49 pages
ISBN:9781450315395
DOI:10.1145/2432516
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Published: 21 January 2013
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View all- Chaurasia ASehgal V(2015)Optimal buffer-size by synthetic self-similar traces for different traffics for NoCACM SIGBED Review10.1145/2815482.281548312:3(6-12)Online publication date: 17-Aug-2015
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