Register minimization in cost-optimal synthesis of DSP architectures

In this paper we propose a generalized technique to count the number of registers supporting overlapped scheduling and a general digit-serial data format. This technique is integrated into an integer linear programming model which minimizes the cost of registers as well as the cost of processors and data format converters to synthesize a cost-optimal architecture for a given digital signal processing algorithm. It is shown that by including the cost of registers in the synthesis task as proposed in this paper leads to up to 12.8% savings in the total cost of the synthesized architecture when compared with synthesis performed without including the register cost in the total cost