Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Parameter variations and impact on circuits and microarchitecture
Proceedings of the 40th annual Design Automation Conference
Algebraic Methods for Optimizing Constant Multiplications in Linear Systems
Journal of VLSI Signal Processing Systems
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In this paper, we present a novel FIR filter synthesis technique that allows aggressive voltage scaling by exploiting the fact that all filter coefficients are not equally important to obtain a "reasonably accurate" filter response. Our technique implements a Level Constrained Common Subexpression Elimination (LCCSE) algorithm, where we can constrain the number of adder levels required to compute each of the coefficient outputs. By specifying a tighter constraint (in terms of number of adders in the critical path) on the important coefficients, we ensure that the later computational steps compute only the less important coefficient outputs. In case of delay variations due to voltage scaling and/or process variations, only the less important outputs are affected, resulting in graceful degradation of filter quality. The proposed architecture, therefore, lends itself to aggressive voltage scaling for low-power dissipation even under process parameter variations. Under extreme process variation and supply voltage scaling (0.8V), filters implemented in BPTM 70 nm technology show an average power savings of 25-30% with minor degradation in filter response.