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

George B.P. Bezerra, Stephanie Forrest, Melanie Moses, Al Davis, Payman Zarkesh-Ha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

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 [6], we propose a Rent's rule 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.

Original languageEnglish (US)
Title of host publicationSLIP'10 - Proceedings of the 2010 Workshop on System Level Interconnect Prediction
Pages3-8
Number of pages6
DOIs
StatePublished - Jul 30 2010
Externally publishedYes
Event12th ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP'10 - Anaheim, CA, United States
Duration: Jun 13 2010Jun 13 2010

Publication series

NameInternational Workshop on System Level Interconnect Prediction, SLIP

Other

Other12th ACM/IEEE International Workshop on System Level Interconnect Prediction, SLIP'10
CountryUnited States
CityAnaheim, CA
Period6/13/106/13/10

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Keywords

  • Communication probability distribution
  • Energy consumption
  • Networks on chip
  • Rent's rule
  • Synthetic traffic generation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

Bezerra, G. B. P., Forrest, S., Moses, M., Davis, A., & Zarkesh-Ha, P. (2010). Modeling NoC traffic locality and energy consumption with Rent's communication probability distribution. In SLIP'10 - Proceedings of the 2010 Workshop on System Level Interconnect Prediction (pp. 3-8). (International Workshop on System Level Interconnect Prediction, SLIP). https://doi.org/10.1145/1811100.1811103