Abstract

Reliability has become an integral part of the system design process, especially for those systems with life-critical applications such as aircrafts and spacecraft flight control. The recent rapid growth in demand for highly reliable digital circuits has focused attention on tools and techniques we might use to enhance the reliability of the circuit. In this paper, we present an algorithm to improve the reliability of digital combinational circuits based on evolutionary approach. This method generates a global VHDL file for the selected initial set of components based on inserting multiplexers at the gate inputs of the circuit which helps to perform the simulations in only one session. This simulation framework is combined with single-pass reliability analysis approach to implement the evolutionary algorithm. The search space of the genetic algorithm is limited by the idea of slicing the initial set of components and also circuit partitioning could be used to further overcome the scalability limitations. The framework is applied to a subset of combinational benchmark circuits and our experiments demonstrate that higher reliabilities can be achieved while other factors such as power, speed and area overhead will remain admissible.

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