Detail publikace

A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits

Originální název

A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits

Anglický název

A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits

Jazyk

en

Originální abstrakt

Multifunctional (or polymorphic) gates have been utilized as building blocks for multifunctional circuits that are capable of performing various logic functions under different settings of control signals. In order to effectively synthesize the polymorphic circuits, several methods have been developed in the recent years. Unfortunately, the methods are applicable for small circuits only. In this paper, we propose a SAT-based functional equivalence checking algorithm to eliminate the fitness evaluation time which is the most critical overhead for genetic programming-based design and optimization of complex polymorphic circuits. The proposed approach has led to a 30% reduction of gates with respect to the solutions created using the polymorphic multiplexing combined with the optimization conducted by the ABC tool. 

Anglický abstrakt

Multifunctional (or polymorphic) gates have been utilized as building blocks for multifunctional circuits that are capable of performing various logic functions under different settings of control signals. In order to effectively synthesize the polymorphic circuits, several methods have been developed in the recent years. Unfortunately, the methods are applicable for small circuits only. In this paper, we propose a SAT-based functional equivalence checking algorithm to eliminate the fitness evaluation time which is the most critical overhead for genetic programming-based design and optimization of complex polymorphic circuits. The proposed approach has led to a 30% reduction of gates with respect to the solutions created using the polymorphic multiplexing combined with the optimization conducted by the ABC tool. 

BibTex


@inproceedings{BUT91452,
  author="Lukáš {Sekanina} and Zdeněk {Vašíček}",
  title="A SAT-based Fitness Function for Evolutionary Optimization of Polymorphic Circuits",
  annote="Multifunctional (or polymorphic) gates have been utilized as building blocks for
multifunctional circuits that are capable of performing various logic functions
under different settings of control signals. In order to effectively synthesize
the polymorphic circuits, several methods have been developed in the recent
years. Unfortunately, the methods are applicable for small circuits only. In this
paper, we propose a SAT-based functional equivalence checking algorithm to
eliminate the fitness evaluation time which is the most critical overhead for
genetic programming-based design and optimization of complex polymorphic
circuits. The proposed approach has led to a 30% reduction of gates with respect
to the solutions created using the polymorphic multiplexing combined with the
optimization conducted by the ABC tool. ",
  address="European Design and Automation Association",
  booktitle="Proc. of the 2012 Design, Automation and Test in Europe",
  chapter="91452",
  doi="10.1109/DATE.2012.6176563",
  edition="NEUVEDEN",
  howpublished="print",
  institution="European Design and Automation Association",
  year="2012",
  month="march",
  pages="715--720",
  publisher="European Design and Automation Association",
  type="conference paper"
}