Synthesis of power- and area-efficient binary machines for incompletely specified sequences
Nan Li, Elena Dubrova · 2014
Binary Machines (BMs) are a generalization of Linear Feedback Shift Registers (LFSRs) in which a current state is a nonlinear function of the previous state. It is known how to construct a BM generating a given completely specified binary sequence. In this paper, we present an algorithm which can efficiently handle the case of incompletely specified sequences. Our experimental results show that it significantly outperforms the approaches based on all-0 or random fill in both area and power dissipation. On average, it reduces dynamic power dissipation twice compared to all-0 fill approach and 6 times compared to random fill approach. The presented algorithm can potentially be useful for many applications, including Logic Built-In Self Test (LBIST).