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Modeling NoC traffic locality and energy consumption with rent's communication probability distribution

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Modeling NoC traffic locality and energy consumption with rent's communication probability distribution

Content Provider	ACM Digital Library
Author	Zarkesh-Ha, Payman Bezerra, George B.P. Forrest, Stephanie Moses, Melanie Davis, Al
Abstract	In systems on chip, the energy consumed by the Network on Chip (NoC) depends heavily on the network traffic pattern. The higher the communication locality, the lower the energy consumption will be. In this paper, we use the Communication Probability Distribution (CPD) to model communication locality and energy consumption in NoC. Firstly, based on recent results showing that communication patterns of many parallel applications follow Rent's rule, we propose a Rent's rule [6] traffic generator. In this method, the probability of communication between cores is derived directly from Rent's rule, which results in CPDs displaying high locality. Next, we provide a model for predicting NoC energy consumption based on the CPD. The model was tested on two NoC systems and several workloads, including Rent's rule traffic, and obtained accurate results when compared to simulations. The results also show that Rent's rule traffic has lower energy consumption than commonly used synthetic workloads, due to its higher communication locality. Finally, we exploit the tunability of our traffic generator to study applications with different locality, analyzing the impact of the Rent's exponent on energy consumption.
Starting Page	3
Ending Page	8
Page Count	6
File Format	PDF
ISBN	9781450300377
DOI	10.1145/1811100.1811103
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Energy consumption Synthetic traffic generation Rent's rule Networks on chip Communication probability distribution
Content Type	Text
Resource Type	Article

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