Paper
7 August 2017 Reversible synthesis of incompletely specified Boolean functions using functional decomposition
Mariusz Rawski, Piotr Szotkowski
Author Affiliations +
Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 104452M (2017) https://doi.org/10.1117/12.2281040
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland
Abstract
Conventional microelectronic technology reaches its limits, and reversible logic circuits might address at least one of the problems: unwanted energy dissipation. Unfortunately, current methods of reversible function synthesis have certain limitations, including suboptimal handling of incompletely specified Boolean functions and yielding circuit sizes (and costs) that can be vastly improved upon. This paper presents the application of functional decomposition as a crucial step in synthesis of reversible logic that cost-efficiently implements incompletely specified Boolean functions. A decomposition of an incompletely specified Boolean function into a network of smaller sub-functions, subsequently synthesized into reversible blocks and composed into a reversible system, yields significantly better results than direct reversible synthesis of the original, incompletely specified Boolean function. The experimental results presented in this paper demonstrate the potential of the proposed approach.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mariusz Rawski and Piotr Szotkowski "Reversible synthesis of incompletely specified Boolean functions using functional decomposition", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 104452M (7 August 2017); https://doi.org/10.1117/12.2281040
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KEYWORDS
Logic

Detection and tracking algorithms

Field programmable gate arrays

Yield improvement

Quantum efficiency

Computer programming

Energy efficiency

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