Paper Info
Title
Long term sustainability of differentially reliable systems in the dark silicon era
Abstract
As transistor miniaturization continues, providing robustness and computational correctness comes with rising power, performance, and area overhead costs. However, the diversity of software error tolerance is increasing as modern society embraces ubiquitous computing. This diversity can be exploited by differentially reliable (DR) multicore systems. The rising level of dark silicon-the portion of a chip that must remain inactive due to power budget constraints-makes such DR systems even more attractive when compared to homogeneous designs because power efficiency is improved with the increased flexibility of dynamically selecting appropriate cores for a given software workload. However, ensuring the long-term sustainability of these DR systems is a profound challenge. Asymmetric utilization of cores, differential aging degradation, and manufacturing process variation alter the relative reliability of DR system components, degrading and even eliminating the energy efficiency advantage. In this paper, we propose a feedback control based thread-to-core mapping framework to ensure longterm sustainability and extend the energy efficiency of a DR system. Over a ten-year lifespan, we analyze our approach on two DR design techniques and respectively demonstrate 14.4-16.3% and 26.1-31.0% in sustained energy-efficiency benefits, surpassing the recently proposed race-to-idle approach.
Year
DOI
Venue
2013
10.1109/ICCD.2013.6657027
Computer Design
Keywords
DocType
Citations 
energy conservation,multiprocessing systems,power aware computing,sustainable development,DR design techniques,DR multicore systems,asymmetric core utilization,differential aging degradation,differentially reliable multicore systems,energy efficiency,energy efficiency advantage,feedback control based thread-to-core mapping framework,long term sustainability,manufacturing process variation,power budget constraints,power efficiency,race-to-idle approach,software error tolerance diversity,software workload,transistor miniaturization,ubiquitous computing
Conference
2
PageRank 
References 
Authors
0.37
19
3
Name
Order
Citations
PageRank
Jason M. Allred191.87
Sanghamitra Roy221129.91
Koushik Chakraborty323030.77