Throughput optimization of general non-linear computations

This paper addresses an optimal technique for throughput optimization of general non-linear data flow computations using a set of transformations. Throughput is widely recognized as the most important design metric of the modern DSP and communication applications. Numerous approaches have been proposed for throughput optimization, but most were restricted to limited classes of computations. They have limited effectiveness when applied to large complex non-linear DSP and communication computations. The new technique is used as an optimization engine in a divide-and-conquer global approach for throughput optimization. We demonstrate the effectiveness of the new technique on numerous real-life non-linear designs.