Paper Info
Title
Energy and Performance Efficient Thread Mapping in NoC-Based CMPs under Process Variations
Abstract
Within-die process variation causes cores, memories, and network resources in NoC-based CMPs to present different speeds and leakage power. In this context, thread mapping strategies that consider the effects of process variability on chip resources arise as a suitable choice to maximize performance while energy consumption constraints are satisfied. However, other factors, as the location of memory controllers and the concurrent execution of several applications in the chip, can bound the possible benefits of such mapping strategies. In this paper we propose a mapping strategy, named as uniform regions, that takes variability effects into account when assigning application threads to cores in the chip. More specifically, uniform regions, in terms of operating frequency, that additionally present the highest available frequency, are selected so that the benefits of such a variation-aware mapping strategy in a NoC-based CMP are maximized. We additionally present two different ways of configuring the frequency and voltage of the cores in the selected region. The first one is intended to provide the maximum performance while keeping energy as low as possible, while the second one is much more for energy-aware. The first one reduces the execution time up to a 23% while reducing the energy up to 24% whereas the second one provides smaller speed ups while reduces energy up to 33%.
Year
DOI
Venue
2011
10.1109/ICPP.2011.48
ICPP
Keywords
Field
DocType
performance efficient thread mapping,process variations,mapping strategy,uniform region,energy consumption constraint,noc-based cmp,noc-based cmps,smaller speed up,highest available frequency,thread mapping strategy,chip resource,variation-aware mapping strategy,multi threading,process variation,network on chip
Multithreading,Thread mapping,Computer science,Parallel computing,Voltage,Network on a chip,Chip,Thread (computing),Process variation,Energy consumption,Distributed computing
Conference
Citations 
PageRank 
References 
1
0.37
24
Authors
3
Name
Order
Citations
PageRank
C. Hernández1161.36
F. Silla217316.36
J. Duato382974.13