使用定时决策表的HDL优化

Jian Li, Rajesh K. Gupta
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引用次数: 16

摘要

系统级预合成是指对输入HDL描述进行优化,从而产生适合于后续合成任务的优化HDL描述。在本文中,我们提出了在外部不关心条件下行为HDL描述的控制流程优化。优化是使用系统功能的表格模型进行的,称为定时决策表或tdt。本文提出的基于TDT的优化是在一个名为PUMPKIN的程序中实现的。几个例子的优化结果表明,根据用户提供的外部Don't Care信息,合成硬件电路的尺寸减少了3-88%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HDL optimization using timed decision tables
System-level presynthesis refers to the optimization of an input HDL description that produces an optimized HDL description suitable for subsequent synthesis tasks. In this paper, we present optimization of control flow in behavioral HDL descriptions using external Don't Care conditions. The optimizations are carried out using a tabular model of system functionality, called Timed Decision Tables or TDTs. TDT based optimization presented here have been implemented in a program called PUMPKIN. Optimization results from several examples show a reduction of 3-88% in the size of synthesized hardware circuits depending upon the external Don't Care information supplied by the user.
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