Title :
Parallel Parsing on a One-Way Array of Finite-State Machines
Author :
Chang, Jik H. ; Ibarra, Oscar H. ; Palis, Michael A.
Author_Institution :
Department of Computer Science, Sugang University, Seoul, South Korea.
Abstract :
We show that a one-way two-dimensional iterative array of finite-state machines (2-DIA) can recognize and parse strings of any context-free language in linear time. What makes this result interesting and rather surprising is the fact that each processor of the array holds only a fixed amount of information (independent of the size of the input) and communicates with its neighbors in only one direction. This makes for a simple VLSI implementation. Although it is known that recognition can be done on a 2-DIA, previous parsing algorithms require the processors to have unbounded memory, even when the communication is two-way. We also consider the problem of finding approximate patterns in strings, the string-to-string correction problem, and the longest common subsequence problem, and show that they can be solved in linear time on a 2-DIA.
Keywords :
Communication system control; Context; Dynamic programming; Hardware; Iterative algorithms; Logic arrays; Pattern matching; Pattern recognition; Programmable logic arrays; Very large scale integration; Context-free language; VLSI; dynamic programming; finite-state machine; iterative array; longest common subsequence; parsing; pattern matching; sequence comparison;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1987.5009449