Title
Generating Synthetic MVL Benchmarks from Random MDDs Under Restrictions
Abstract
Since standard benchmark functions for analysis of multiple-valued logic (MVL) designs are not widely available, benchmark functions for binary logic design are often used in this area after an appropriate encoding of function values and possibly padding with zeros. Such generated MVL benchmarks might not express inherent properties of MVL functions. Synthetic benchmark MVL functions are an alternative and their construction is an interesting problem. Various restrictions imposed on the structure of decision diagrams, i.e., distribution of nodes and their interconnections; lead to functions expressing various properties. Based on this observation, we propose a method for generating synthetic MVL benchmark functions derived from randomly generated multiple-valued decision diagrams (MDD) under certain structural restrictions. We consider four different structural parameters: the number of levels, the maximal size, i.e., the total number of nodes, the maximal width, and the average edge length. Experimental results are provided to illustrate the efficiency of the proposed method.
Year
DOI
Venue
2018
10.1109/ISMVL.2018.00037
2018 IEEE 48th International Symposium on Multiple-Valued Logic (ISMVL)
Keywords
Field
DocType
Multiple-valued logic,Synthetic benchmarks,MDD,Random graphs
Data structure,Discrete mathematics,Computer science,Algorithm,Binary logic,Padding,Benchmark (computing),Encoding (memory)
Conference
ISSN
ISBN
Citations 
0195-623X
978-1-5386-4465-2
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Milos Radmanovic122.14
Radomir S. Stankovic218847.07