An algorithm for generation of behavioral shape functions

N. D. Holmes, D. Gajski
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引用次数: 3

Abstract

In this paper, we present a new algorithm for analyzing performance/cost tradeoffs in interactive synthesis of DSP algorithms. Our algorithm handles both memories with different access times and pipelined units with different numbers of stages. The output is a shape function illustrating the performance vs. cost tradeoff. We have tested this algorithm on several benchmarks including an FIR filter and a robot kinematics example. Results show that the average difference in cost, as compared to manual designs, is 0.41%, while the average performance difference is 4.90% without memory access times and 0.77% with memory access times.<>
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行为形状函数的生成算法
在本文中,我们提出了一种新的算法来分析DSP算法交互合成中的性能/成本权衡。我们的算法处理具有不同访问时间的存储器和具有不同阶段数的流水线单元。输出是一个表示性能与成本权衡的形状函数。我们已经在几个基准上测试了该算法,包括FIR滤波器和机器人运动学示例。结果表明,与手工设计相比,成本的平均差异为0.41%,而无内存访问次数的平均性能差异为4.90%,有内存访问次数的平均性能差异为0.77%。
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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