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应用设计过程的胚胎硬件细胞单元粒度优化方法
引用本文:张砦,王友仁. 应用设计过程的胚胎硬件细胞单元粒度优化方法[J]. 航空学报, 2016, 37(11): 3502-3511. DOI: 10.7527/S1000-6893.2016.0041
作者姓名:张砦  王友仁
作者单位:南京航空航天大学 自动化学院, 南京 210016
基金项目:国家自然科学基金(61202001
摘    要:胚胎硬件的高可靠性主要由新颖的硬件体系和细胞电路结构来保障,缺乏应用设计过程的可靠性提高方法研究。分析了在应用设计过程中可调的胚胎硬件可靠性影响因素,针对细胞单元粒度不同会导致细胞面积变化从而影响细胞阵列可靠性的实际情况,对传统可靠性模型无法体现细胞面积变化的不足进行了改进,建立了新的可靠性模型。通过实例分析,总结出不同细胞单元粒度情况下的细胞阵列可靠性变化规律,进而给出细胞单元粒度优化选择方法,设计者基于该方法不需设计完整电路就能确定自身设计能力范围内获得最大可靠性的细胞单元粒度。

关 键 词:胚胎硬件  可靠性分析  电路优化  细胞单元粒度  可重构  
收稿时间:2015-11-27
修稿时间:2016-02-15

Cell granularity optimization method of embryonics hardware in application design process
ZHANG Zhai,WANG Youren. Cell granularity optimization method of embryonics hardware in application design process[J]. Acta Aeronautica et Astronautica Sinica, 2016, 37(11): 3502-3511. DOI: 10.7527/S1000-6893.2016.0041
Authors:ZHANG Zhai  WANG Youren
Affiliation:College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:The high reliability of embryonics hardware is supported by the novel architecture of reconfigurable cellular array. During the application design process, research on the method to improve the reliability is scarce. In this paper, those factors adjustable by designer in the application process have been extracted out, which affect the reliability of embryonics hardware. In embryonic hardware, cell area will change in different cell granularity, which is followed by the change of cellular array reliability. To solve this problem, a new reliability model is proposed for the traditional reliability model does not have parameters to express the area change of cells. After the reliability analysis of examples, variation laws of cellular array reliability with different cell granularity are summarized, and a cell granularity optimization method is raised. Based on the method, designers can choose the optimal cell granularity without a complete design of cellular array.
Keywords:embryonics hardware  reliability analysis  circuit optimization  cellular granularity  reconfigurable
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