Minimization of fractional wordlength on fixed-point conversion for high-level synthesis

Nobuhiro Doi, T. Horiyama, M. Nakanishi, S. Kimura
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引用次数: 18

Abstract

In the hardware synthesis from high-level language such as C, bit length of variables is one of the key issues on the area and speed optimization. Usually, designers are required to specify the word length of each variable manually, and verify the correctness by the simulation on huge data. We propose an optimization method of fractional word length of floating-point variables in the floating to fixed-point conversion of variables. The amount of round-off errors are formulated with parameters and propagated via data flow graphs. The nonlinear programming is used to solve the fractional word length minimization problem. The method does not require the simulation on huge data, and is very fast compared to ones based on the simulation. We have shown the effect on several programs.
高级合成中定点转换的分数字长最小化
在C等高级语言的硬件综合中,变量的位长度是优化面积和优化速度的关键问题之一。通常,设计人员需要手动指定每个变量的字长,并通过对大量数据的仿真来验证其正确性。在变量的浮点到定点转换中,提出了一种浮点变量的小数字长优化方法。舍入误差的数量用参数表示,并通过数据流图传播。采用非线性规划方法求解分数字长最小化问题。该方法不需要对大数据进行仿真,与基于仿真的方法相比,速度非常快。我们已经在几个程序中展示了这种效果。
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