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FIŠER, P. HÁLEČEK, I. SCHMIDT, J. ŠIMEK, V.
Originální název
SAT-Based Generation of Optimum Circuits with Polymorphic Behavior Support
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This paper presents a method for generating optimum multi-level implementations of Boolean functions based on Satisfiability (SAT) and Pseudo-Boolean Optimization (PBO) problems solving. The method is able to generate one or enumerate all optimum implementations, while the allowed target gate types and gates costs can be arbitrarily specified. Polymorphic circuits represent a newly emerging computation paradigm, where one hardware structure is capable of performing two or more different intended functions, depending on instantaneous conditions in the target operating environment. In this paper we propose the first method ever, generating provably size-optimal polymorphic circuits. Scalability and feasibility of the method are documented by providing experimental results for all NPN-equivalence classes of four-input functions implemented in AND-Inverter and AND-XOR-Inverter logics without polymorphic behavior support being used and for all pairs of NPN-equivalence classes of three-input functions for polymorphic circuits. Finally, several smaller benchmark circuits were synthesized optimally, both in standard and polymorphic logics.
Klíčová slova
Boolean functions, logic synthesis, SAT, PBO, optimum implementation, exact synthesis, polymorphic circuits.
Autoři
FIŠER, P.; HÁLEČEK, I.; SCHMIDT, J.; ŠIMEK, V.
Vydáno
14. 6. 2019
ISSN
1793-6454
Periodikum
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
Ročník
28
Číslo
1
Stát
Singapurská republika
Strany od
Strany do
29
Strany počet
URL
https://www.worldscientific.com/doi/10.1142/S0218126619400103
BibTex
@article{BUT163428, author="FIŠER, P. and HÁLEČEK, I. and SCHMIDT, J. and ŠIMEK, V.", title="SAT-Based Generation of Optimum Circuits with Polymorphic Behavior Support", journal="JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS", year="2019", volume="28", number="1", pages="1--29", doi="10.1142/S0218126619400103", issn="1793-6454", url="https://www.worldscientific.com/doi/10.1142/S0218126619400103" }