Title :
An efficient parallel solution for the longest increasing subsequence problem
Author :
Cérin, Christophe ; Dufourd, Catherine ; Myoupo, Jean-Fréderic
Author_Institution :
LAMIFA, Univ. de Picardie Jules Verne, Amiens, France
Abstract :
We derive a parallel solution to the problem of finding the longest increasing subsequence in a finite sequence of numbers. We first describe a sequential solution with time complexity O(n log n) and space complexity O(n). Secondly, we show how a parallel solution can be obtained using a partially pipelined linear modular systolic array, with time complexity O(n)
Keywords :
computational complexity; dynamic programming; parallel algorithms; series (mathematics); systolic arrays; finite sequence; longest increasing subsequence problem; numbers; parallel solution; partially pipelined linear modular systolic array; space complexity; time complexity; Clocks; Costs; Digital signal processing; Dynamic programming; Parallel processing; Signal processing algorithms; Space technology; Systolic arrays; Topology; Very large scale integration;
Conference_Titel :
Computing and Information, 1993. Proceedings ICCI '93., Fifth International Conference on
Conference_Location :
Sudbury, Ont.
Print_ISBN :
0-8186-4212-2
DOI :
10.1109/ICCI.1993.315375