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Algorithms for Multiplierless Multiple Constant Multiplication in Online Arithmetic

机译:在线算术中无因数多重常数乘法的算法

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Online arithmetic operators offer advantages of reduction in resource utilization and interconnection complexity besides providing pipelining at digit level. Multiplierless constant coefficient multiplication using the shift-and-add technique is widely used in digital signal processing applications. This paper proposes a novel bit serial adaptation of the parallel shift-and-add algorithm to online arithmetic. The proposed multipliers use right shifts instead of the traditional left shifts resulting in causal online implementations. Graph-based and hybrid algorithms are developed for the estimation of the distance of a constant from a set of constants in terms of the number of additions and for the synthesis of online multiple constant multipliers under area and online delay constraints. The computational complexity of the algorithms is determined. Results of implementation on randomly generated constant sets and FIR filter instances show substantial improvements in the number of operations required using the distance heuristic. Further, it is shown that the proposed techniques and algorithms result in significant savings in resource utilization, logic depth, and clock frequency compared to parallel and digit-serial algorithms.
机译:在线算术运算符除了提供数字级别的流水线之外,还具有减少资源利用和互连复杂性的优势。使用移位加法的无乘法器常数系数乘法被广泛用于数字信号处理应用中。本文提出了一种新的并行移位加法算法对在线算法的位串行适配。建议的乘数使用右移代替传统的左移,从而导致因果在线实现。开发了基于图的算法和混合算法,用于根据加法数来估计常数与一组常数之间的距离,以及在面积和在线延迟约束下合成在线多个常数乘数。确定算法的计算复杂度。在随机生成的常数集和FIR滤波器实例上实现的结果表明,使用距离启发式算法可以显着改善所需的操作数量。此外,表明与并行和数字串行算法相比,所提出的技术和算法可显着节省资源利用,逻辑深度和时钟频率。

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