Power-Performance Analysis of Networks-on-Chip With Arbitrary Buffer Allocation Schemes

End-to-end delay, throughput, energy consumption, and silicon area are the most important design metrics of networks-on-chip (NoCs). Although several analytical models have been previously proposed for predicting such metrics in NoCs, very few of them consider the effect of message waiting time in t...

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Bibliographic Details
Published in:IEEE transactions on computer-aided design of integrated circuits and systems 2010-10, Vol.29 (10), p.1558-1571
Main Authors: Arjomand, M, Sarbazi-Azad, H
Format: Article
Language:English
Subjects:
Algorithms
Allocations
Analytical modeling
Analytical models
buffer allocation scheme network-on-chip
Buffers
Channels
Delay
Design engineering
IP networks
Load modeling
Mathematical analysis
Mathematical models
Messages
Networks
performance evaluation
performance model
power model
Resource management
Routers
Routing
Studies
System-on-a-chip
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Summary:End-to-end delay, throughput, energy consumption, and silicon area are the most important design metrics of networks-on-chip (NoCs). Although several analytical models have been previously proposed for predicting such metrics in NoCs, very few of them consider the effect of message waiting time in the buffers of network routers for predicting overall power consumptions and none of them consider structural heterogeneity of network routers. This paper introduces two inter-related analytical models to compute message latency and power consumption of NoCs with arbitrary topology, buffering structure, and routing algorithm. Buffer allocation scheme defines the buffering space for each individual channel of the NoC that can be homogenous (all channels having similar buffer structures) or heterogeneous (each channel having its own buffer structure). Here, the buffer allocation scheme can be either homogenous or heterogeneous. We assume no bandwidth sharing of virtual channels for a physical channel, and IP cores generate messages following a Poisson distribution. The results obtained from simulation experiments confirm that the proposed models exhibit acceptable accuracy for different network configurations operating under various working conditions. We have shown that basing our analysis on a Poisson traffic model is still useful for scenarios with real application workloads.
ISSN:0278-0070
1937-4151
DOI:10.1109/TCAD.2010.2061171