IPLAM: A High-Dimensional Expensive Simulation Optimization Method, With Application to Design Space Exploration in Processor

Design Space Exploration (DSE) in processors is an expensive discrete simulation optimization problem. The data requirements of the regular data-driven methods are so large that it is challenging to converge to a satisfactory solution within a limited simulation budget. Based on binary integer linea...

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Bibliographic Details

Published in:	IEEE transactions on automation science and engineering Vol. 22; pp. 18761 - 18772
Main Authors:	Lv, Xiaoliang, Zhai, Qiaozhu, Zhu, Yuhang, Hu, Jianchen, Guan, Xiaohong
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Automation Bayes methods binary integer linear programming Closed box Convergence Costs Data models design space exploration Expensive simulation system high-dimensional discrete optimization Optimization methods Piecewise linear approximation Predictive models Space exploration
ISSN:	1545-5955, 1558-3783
Online Access:	Get full text
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