Title
A Runtime Power-Aware Phase Predictor for CGRAs
Abstract
As computation migrates to the edge, energy efficiency is becoming even more critical in the design of electronic devices. Therefore, new applications for the Internet of Things pose a challenge for designers to find the optimal balance between performance and energy consumption. While Coarse Grained Reconfigurable Architectures (CGRA) have been an alternative to provide the required acceleration, they are far from being the most energy-efficient, since their functional units may be underutilized by some applications. In this work, we introduce a novel approach to handle these CGRA resources, which leverages the variable usage of functional units due to the application program phases. By using our new approach and performing power-gating of under-utilized parts of the CGRA, we demonstrate that it is possible to achieve reductions of up to 52.3% in power dissipation and 75% in energy consumption.
Year
DOI
Venue
2019
10.1109/ReConFig48160.2019.8994802
2019 International Conference on ReConFigurable Computing and FPGAs (ReConFig)
Keywords
Field
DocType
CGRA,power-gating,program phases,reconfigurable architectures,heterogeneous computing
Efficient energy use,Computer science,Dissipation,Parallel computing,Symmetric multiprocessor system,Electronics,Power gating,Acceleration,Energy consumption,Embedded system,Computation
Conference
ISSN
ISBN
Citations 
2325-6532
978-1-7281-1958-8
0
PageRank 
References 
Authors
0.34
6
7