DocumentCode :
3692762
Title :
An Approach to Discrete Parameter Design Space Exploration of Multi-core Systems Using a Novel Simulation Based Interpolation Technique
Author :
Neha V. Karanjkar;Madhav P. Desai
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2015
Firstpage :
85
Lastpage :
88
Abstract :
We propose a new approach to simulation-based design optimization of multi core systems, over a large number of discrete parameters. In this approach, we embed the discrete parameter space into an extended continuous space and apply continuous space optimization techniques over the embedding to search for optimal designs. Such continuous space techniques often scale well with the number of parameters. The embedding is performed using a novel simulation-based ergodic interpolation technique, which, unlike spatial interpolation methods, can produce the interpolated value within a single simulation run irrespective of the number of parameters. In a characterization study, we find that the interpolated performance curves are continuous, piecewise smooth and have low statistical error. We use the ergodic interpolation-based approach to solve a multi-core design optimization problem with 31 design parameters. Our results indicate that continuous space optimization using ergodic interpolation-based embedding can be a viable approach for large multi-core design optimization problems.
Keywords :
"Interpolation","Wires","Linear programming","Computational modeling","Design optimization","Delays"
Publisher :
ieee
Conference_Titel :
Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2015 IEEE 23rd International Symposium on
ISSN :
1526-7539
Type :
conf
DOI :
10.1109/MASCOTS.2015.26
Filename :
7330176
Link To Document :
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