TY - GEN
T1 - Multi-objective design optimization for flexible hybrid electronics
AU - Bhat, Ganapati
AU - Gupta, Ujjwal
AU - Tran, Nicholas
AU - Park, Jaehyun
AU - Ozev, Sule
AU - Ogras, Umit
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/11/7
Y1 - 2016/11/7
N2 - Flexible systems that can conform to any shape are desirable for wearable applications. Over the past decade, there have been tremendous advances in the domain of flexible electronics which enabled printing of devices, such as sensors on a flexible substrate. Despite these advances, pure flexible electronics systems are limited by poor performance and large feature sizes. Flexible hybrid electronics (FHE) is an emerging technology which addresses these issues by integrating high performance rigid integrated circuits and flexible devices. Yet, there are no system-level design flows and algorithms for the design of FHE systems. To this end, this paper presents a multi-objective design algorithm to implement a target application optimally using a library of rigid and flexible components. Our algorithm produces a set of Pareto frontiers that optimize the physical flexibility, energy per operation and area metrics. Simulation studies show a 32x range in area and 4x range in flexibility across the set of Pareto-optimal design points.
AB - Flexible systems that can conform to any shape are desirable for wearable applications. Over the past decade, there have been tremendous advances in the domain of flexible electronics which enabled printing of devices, such as sensors on a flexible substrate. Despite these advances, pure flexible electronics systems are limited by poor performance and large feature sizes. Flexible hybrid electronics (FHE) is an emerging technology which addresses these issues by integrating high performance rigid integrated circuits and flexible devices. Yet, there are no system-level design flows and algorithms for the design of FHE systems. To this end, this paper presents a multi-objective design algorithm to implement a target application optimally using a library of rigid and flexible components. Our algorithm produces a set of Pareto frontiers that optimize the physical flexibility, energy per operation and area metrics. Simulation studies show a 32x range in area and 4x range in flexibility across the set of Pareto-optimal design points.
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U2 - 10.1145/2966986.2967057
DO - 10.1145/2966986.2967057
M3 - Conference contribution
AN - SCOPUS:85001103576
T3 - IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
BT - 2016 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
Y2 - 7 November 2016 through 10 November 2016
ER -