Paper Info
Title
Modeling NoC traffic locality and energy consumption with rent's communication probability distribution
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.
Year
DOI
Venue
2010
10.1145/1811100.1811103
SLIP
Keywords
Field
DocType
different locality,rule traffic,lower energy consumption,energy consumption,communication probability distribution,communication pattern,communication locality,traffic generator,high locality,noc energy consumption,modeling noc traffic locality,higher communication locality,system on chip,probability distribution,network on chip
Traffic generation model,Locality,Airfield traffic pattern,Computer science,Network on a chip,Computer network,Real-time computing,Exploit,Rent's rule,Probability distribution,Energy consumption
Conference
Citations 
PageRank 
References 
12
0.64
9
Authors
5
Name
Order
Citations
PageRank
George B.P. Bezerra1341.99
Stephanie Forrest264481102.07
Melanie Forrest3120.64
Al Davis498654.47
Payman Zarkesh-Ha521436.28