Multi-objective design optimization for flexible hybrid electronics

Multi-objective design optimization for flexible hybrid electronics
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柔性混合电子器件的多目标设计优化

DOI:
10.1145/2966986.2967057
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发表时间:
2016
期刊:
2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD
影响因子:
--
通讯作者:
Ogras, Umit Y.
Ogras, Umit Y.
中科院分区:
--
文献类型:
--
作者:
Bhat, Ganapati;Gupta, Ujjwal;Tran, Nicholas;Park, Jaehyun;Ozev, Sule;Ogras, Umit Y.

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对于可穿戴应用来说,可以符合任何形状的灵活系统是可取的。在过去的十年里,柔性电子领域取得了巨大的进步,使得在柔性衬底上打印设备成为可能,例如传感器。尽管取得了这些进展,但纯柔性电子系统仍受到性能差和特征尺寸大的限制。柔性混合电子学(FHE)是一种通过集成高性能刚性集成电路和柔性器件来解决这些问题的新兴技术。然而,目前还没有用于FHE系统设计的系统级设计流程和算法。为此,本文提出了一种多目标设计算法,以利用刚性和柔性组件库来优化实现目标应用。我们的算法产生了一组帕累托边界,优化了物理灵活性、每次操作的能量和面积指标。仿真研究表明,在帕累托最优设计点集合上,面积为32×范围,灵活性为4×范围。
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 32× range in area and 4× range in flexibility across the set of Pareto-optimal design points.
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