通过直接执行的芯片网络设计空间探索和通过主成分分析的选择

Xinyu Li, O. Hammami
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引用次数: 15

摘要

片上系统(SoC)的设计越来越复杂。其中一个挑战是找到一种互连拓扑结构和一组架构参数,使面积和功耗最小化,同时满足设计约束。本文的目的是为片上网络提出一种新的设计空间探索方法,该方法使用(1)硬件仿真来快速评估性能;(2)实际后合成位置和路径来计算区域结果;(3)实际最佳实现频率来计算执行时间而不是周期数。基于这些值,基于主成分分析的统计工具为片上网络设计人员快速选择合适的片上网络组件参数值带来了生产力的提高。从总体上讲,本文以集成的方式介绍了全自动片上网络实现跨层分析。案例研究验证了我们的方法。
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NOCDEX: Network on Chip Design Space Exploration Through Direct Execution and Options Selection Through Principal Component Analysis
The design of system on chip (SoC) is getting more and more complex. One of the challenges is to find out an interconnection topology and a set of architecture parameters which minimize the area and power consumption while satisfying design constraint. The object of this paper is to propose a new design space exploration methodology for network on chip which use (1) hardware emulation for fast performance evaluation (2) actual post synthesis place and route for area results and (3) actual optimal implementation frequency to compute execution time rather than number of cycles. Based on these values, a statistical tool based on principal component analysis brings productivity gains for network on chip designer to quickly select network on chip components appropriate parameters value. Generally speaking the paper introduces fully automatic network on chip implementation cross-layer analysis in an integrated manner. Case studies validate our approach.
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