FPGA实现的加法作为卷积的一部分

E. Jamro, K. Wiatr
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引用次数: 16

摘要

加法运算是卷积(FIR滤波器)的基本运算。在fpga中,加法应该以使用波纹进位加法器(而不是进位节省加法器)的标准方式进行,这使得寻找最佳加法器结构变得复杂,因为路由顺序对加法成本有实质性影响。此外,还考虑了加法器树输入的复杂参数,例如输入之间的相关性。对于不同的卷积器架构,这些参数以不同的方式指定:无乘数乘法、基于查找表的乘法、分布式算术。此外,还实现了穷举搜索和贪心算法等优化技术,在对计算时间要求较高的情况下,贪心算法是最优的解决方案。否则,对于添加输入的个数n/spl /8,应该使用穷举搜索。本文是fpga中自动生成卷积的autocon自动化工具研究的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA implementation of addition as a part of the convolution
Addition is a fundamental operation for the convolution (FIR filters). In FPGAs, addition should be carried out in a standard way employing ripple-carry adders (rather than carry-save adders), which complicates search for an optimal adder structure as routing order has a substantial influence on the addition cost. Further, complex parameters of inputs to the adders tree have been considered, e.g. correlation between inputs. These parameters are specified in different ways for different convolver architectures: Multiplierless Multiplication, Look-Up Table based Multiplication, Distributed Arithmetic. Furthermore, optimization techniques: Exhaustive Search and Greedy Algorithm have been implemented, and as a result, the Greedy Algorithm is the best solution when time of computation is of great importance. Otherwise, the Exhaustive Search should be employed for the number of the addition inputs n/spl les/8. This paper is a part of the research on the AuToCon-Automated Tool for generating Convolution in FPGAs.
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