Minimizing the number of operations in DSP computations

Reduction of the number of operations optimizes the important design metrics such as area, cost, throughput, and power consumption for both custom ASIC and programmable processor implementations. We propose a novel technique to minimize the number of operations in DSP computations. The first step of the approach logically partitions a computation into strongly connected components. The second step optimizes each component separately. In the third step the components are merged to further optimize. Finally, the components are scheduled to minimize memory consumption. The effectiveness of our approach is demonstrated on real-life examples.