Title : 
An efficient linear systolic algorithm for recovering longest common subsequences
         
        
            Author : 
Luce, Guillaume ; Myoupo, Jean Frédéric
         
        
            Author_Institution : 
Fac. de Math. et d´´Inf., Univ. de Picardie Jules Verne, Amiens, France
         
        
        
        
        
        
            Abstract : 
This paper presents an implementable linear systolic array of m cells which computes both a longest common subsequence and its length in time n+3m+p-1, where m⩽n and p is the length of the LCS. Our algorithm can be extended to recover more than one LCS. Another important property of our algorithm is that each element of an LCS is extracted with its ranks in A and B respectively. Thus we can precisely localize the elements of A and B which match each other. In practice, this information is essential in some situations
         
        
            Keywords : 
parallel algorithms; systolic arrays; linear systolic algorithm; longest common subsequences; Circuit faults; Computational modeling; Concurrent computing; DH-HEMTs; Dynamic programming; Integrated circuit interconnections; Numerical models; Parallel architectures; Physics computing; Systolic arrays;
         
        
        
        
            Conference_Titel : 
Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on
         
        
            Conference_Location : 
Brisbane, Qld.
         
        
            Print_ISBN : 
0-7803-2018-2
         
        
        
            DOI : 
10.1109/ICAPP.1995.472166