NDLI: An efficient manipulation package for Biconditional Binary Decision Diagrams

Content Provider	IEEE Xplore Digital Library
Author	Amaru, L. Gaillardon, P.-E. De Micheli, G.
Copyright Year	2014
Description	Author affiliation: Integrated Syst. Lab. (LSI), EPFL, Lausanne, Switzerland (Amaru, L.; Gaillardon, P.-E.; De Micheli, G.)
Abstract	Biconditional Binary Decision Diagrams (BBDDs) are a novel class of binary decision diagrams where the branching condition, and its associated logic expansion, is biconditional on two variables. Reduced and ordered BBDDs are remarkably compact and unique for a given Boolean function. In order to exploit BBDDs in Electronic Design Automation (EDA) applications, efficient manipulation algorithms must be developed and integrated in a software package. In this paper, we present the theory for efficient BBDD manipulation and its practical software implementation. The key features of the proposed approach are strong canonical form pre-conditioning of stored BBDD nodes, recursive formulation of Boolean operations in terms of biconditional expansions, performance-oriented memory management and dedicated BBDD re-ordering techniques. Experimental results show that the developed BBDD package achieves an average node count reduction of 19.48% and a speed-up factor of 1.63x with respect to a state-of-art decision diagram manipulation package. Employed in the synthesis of datapath circuits, the BBDD manipulation package is capable to advantageously restructure arithmetic operations producing 11.02% smaller and 32.29% faster circuits as compared to a commercial synthesis flow.
Starting Page	1
Ending Page	6
File Size	122060
Page Count	6
File Format	PDF
ISBN	9783981537024
DOI	10.7873/DATE.2014.309
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	European Design Automation Association (EDAA)
Subject Keyword	Boolean functions Data structures Memory management Software algorithms Software packages Benchmark testing
Content Type	Text
Resource Type	Article

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