Abstract— Network-on-Chip (NoC) are considered the promi- nent interconnection solution for current and future many-core architectures. While power is a key concern to deal with during architectural design, power-performance trade-off exploitation requires suitable analytical models to highlight the relations between actuators and such optimization metrics. This paper presents a model of the dynamic relation between the frequency of a NoC router and its performance, to be used for the design of run-time Dynamic Voltage and Frequency Scaling (DVFS) schemes capable of optimizing the power consumption of a NoC. The model has been obtained starting from both physical considerations on the NoC routers and identification from traffic data collected using a cycle-accurate simulator. Experimental results show that the obtained model can explain the dependence of a router congestion on its operating frequency allowing to use it as a starting point to develop power-performance optimal control policies.

An analytical, dynamic, power-performance router model for run-time NoC optimizations

ZONI, DAVIDE;TERRANEO, FEDERICO;FORNACIARI, WILLIAM
2013-01-01

Abstract

Abstract— Network-on-Chip (NoC) are considered the promi- nent interconnection solution for current and future many-core architectures. While power is a key concern to deal with during architectural design, power-performance trade-off exploitation requires suitable analytical models to highlight the relations between actuators and such optimization metrics. This paper presents a model of the dynamic relation between the frequency of a NoC router and its performance, to be used for the design of run-time Dynamic Voltage and Frequency Scaling (DVFS) schemes capable of optimizing the power consumption of a NoC. The model has been obtained starting from both physical considerations on the NoC routers and identification from traffic data collected using a cycle-accurate simulator. Experimental results show that the obtained model can explain the dependence of a router congestion on its operating frequency allowing to use it as a starting point to develop power-performance optimal control policies.
2013
2013 IEEE 26th International SOC Conference (SOCC)
978-147991166-0
File in questo prodotto:
File Dimensione Formato  
06749703.pdf

Accesso riservato

: Publisher’s version
Dimensione 1.09 MB
Formato Adobe PDF
1.09 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/760657
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact