TY - GEN
T1 - Black-box optimization of 3D integrated systems using machine learning
AU - Torun, Hakki M.
AU - Swaminathan, Madhavan
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Increasing complexity of electronics originates new challenges to system optimization. This work proposes a new black box optimization algorithm based on machine learning to address these challenges and analyzes its performance for clock skew minimization of 3D integrated systems.
AB - Increasing complexity of electronics originates new challenges to system optimization. This work proposes a new black box optimization algorithm based on machine learning to address these challenges and analyzes its performance for clock skew minimization of 3D integrated systems.
UR - http://www.scopus.com/inward/record.url?scp=85044369246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85044369246&partnerID=8YFLogxK
U2 - 10.1109/EPEPS.2017.8329698
DO - 10.1109/EPEPS.2017.8329698
M3 - Conference contribution
AN - SCOPUS:85044369246
T3 - 2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
SP - 1
EP - 3
BT - 2017 IEEE 26th Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 26th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2017
Y2 - 15 October 2017 through 18 October 2017
ER -