Resource Optimal Truncated Multipliers for FPGAs

Andreas Böttcher, M. Kumm, F. D. Dinechin
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引用次数: 3

Abstract

This proposal presents the resource optimal design of truncated multipliers targeting field programmable gate arrays (FPGAs). In contrast to application specific integrated circuits (ASICs), the design for FPGAs has some distinct design challenges due to many possibilities of computing the partial products using logic-based or DSP-based sub-multipliers. To tackle this, we extend a previously proposed tiling methodology which translates the multiplier design into a geometrical problem: the target multiplier is represented by a board that has to be covered by tiles representing the sub-multipliers. The tiling with the least resources can be found with integer linear programming (ILP). Our extension considers the error of possibly unoccupied positions of the board and determines the tiling with the least resources that respects the maximal allowed error bound. This error bound is chosen such that a faithfully rounded truncated multiplier is obtained. Compared to previous designs that use a fixed number of guard bits or optimize at the level of the dot diagrams, this allows a much better use of sub-multipliers resulting in significant area savings without sacrificing the timing.
fpga的资源最优截断乘法器
提出了针对现场可编程门阵列(fpga)的截短乘法器的资源优化设计。与专用集成电路(asic)相比,fpga的设计有一些独特的设计挑战,因为使用基于逻辑或基于dsp的子乘法器计算部分产品的许多可能性。为了解决这个问题,我们扩展了先前提出的平铺方法,将乘数设计转化为几何问题:目标乘数由一块板表示,必须由代表子乘数的瓷砖覆盖。用整数线性规划(ILP)可以找到资源最少的平铺。我们的扩展考虑了可能未被占用的棋盘位置的误差,并确定了符合最大允许误差界的最小资源的平铺。选择该误差范围,以便获得忠实的舍入截断乘法器。与以前使用固定数量的保护位或在点图级别进行优化的设计相比,这允许更好地使用子乘法器,从而在不牺牲时间的情况下节省大量面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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