Paper Info
Title
Dynamic energy and reliability management in network-on-chip based chip multiprocessors
Abstract
I investigate techniques for dynamic reliability management (DRM) and dynamic energy management (DEM) in future network-on-chip based chip multiprocessors (CMPs). I propose and study a hybrid dynamic lifetime reliability management algorithm that combines thread migration and dynamic voltage and frequency scaling (DVFS) techniques so that lifetime reliability of the overall system is increased to the desired target with minimal performance degradation. Furthermore, I introduce a novel algorithm for dynamic energy management under performance constraints. The proposed algorithm is a very effective heuristic that also uses the DVFS technique and a very efficient workload prediction technique based on Kalman filtering and long-short-term-memory (LSTM). In addition, this work is going to take advantage of deep neural networks (DNN) models in the next phase of this dissertation.
Year
DOI
Venue
2017
10.1109/IGCC.2017.8323594
2017 Eighth International Green and Sustainable Computing Conference (IGSC)
Keywords
Field
DocType
chip multiprocessors,energy minimization,reliability management,DVFS,thread migration,kalman filtering,LSTM,DNN
Energy management,Heuristic,Computer science,Instruction set,Network on a chip,Chip,Kalman filter,Frequency scaling,Energy consumption,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-5386-3471-4
0
0.34
References 
Authors
3
1
Name
Order
Citations
PageRank
Milad Ghorbani Moghaddam194.70