Parallelization of the P-complete problem is known to be difficult. In this paper, we consider the parallelizability of a stack breadth-first search (stack BFS) problem, which is proved to be P-complete. We first propose the longest path length (LPL) as a measure for the P-completeness of the stack BFS. Next, using this measure, we propose an efficient parallel algorithm for the stack BFS. Assuming the size and LPL of an input graph are n and l, respectively, the complexity of the algorithm indicates that the stack BFS is in the class NCk+1 if l = O(logk n), where k is a positive integer. In addition, the algorithm is cost optimal if l=O(nε), where 0 < ε < 1.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Takaaki NAKASHIMA, Akihiro FUJIWARA, "A Parallel Algorithm for the Stack Breadth-First Search" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 12, pp. 1955-1958, December 2002, doi: .
Abstract: Parallelization of the P-complete problem is known to be difficult. In this paper, we consider the parallelizability of a stack breadth-first search (stack BFS) problem, which is proved to be P-complete. We first propose the longest path length (LPL) as a measure for the P-completeness of the stack BFS. Next, using this measure, we propose an efficient parallel algorithm for the stack BFS. Assuming the size and LPL of an input graph are n and l, respectively, the complexity of the algorithm indicates that the stack BFS is in the class NCk+1 if l = O(logk n), where k is a positive integer. In addition, the algorithm is cost optimal if l=O(nε), where 0 < ε < 1.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_12_1955/_p
Copy
@ARTICLE{e85-d_12_1955,
author={Takaaki NAKASHIMA, Akihiro FUJIWARA, },
journal={IEICE TRANSACTIONS on Information},
title={A Parallel Algorithm for the Stack Breadth-First Search},
year={2002},
volume={E85-D},
number={12},
pages={1955-1958},
abstract={Parallelization of the P-complete problem is known to be difficult. In this paper, we consider the parallelizability of a stack breadth-first search (stack BFS) problem, which is proved to be P-complete. We first propose the longest path length (LPL) as a measure for the P-completeness of the stack BFS. Next, using this measure, we propose an efficient parallel algorithm for the stack BFS. Assuming the size and LPL of an input graph are n and l, respectively, the complexity of the algorithm indicates that the stack BFS is in the class NCk+1 if l = O(logk n), where k is a positive integer. In addition, the algorithm is cost optimal if l=O(nε), where 0 < ε < 1.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - A Parallel Algorithm for the Stack Breadth-First Search
T2 - IEICE TRANSACTIONS on Information
SP - 1955
EP - 1958
AU - Takaaki NAKASHIMA
AU - Akihiro FUJIWARA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2002
AB - Parallelization of the P-complete problem is known to be difficult. In this paper, we consider the parallelizability of a stack breadth-first search (stack BFS) problem, which is proved to be P-complete. We first propose the longest path length (LPL) as a measure for the P-completeness of the stack BFS. Next, using this measure, we propose an efficient parallel algorithm for the stack BFS. Assuming the size and LPL of an input graph are n and l, respectively, the complexity of the algorithm indicates that the stack BFS is in the class NCk+1 if l = O(logk n), where k is a positive integer. In addition, the algorithm is cost optimal if l=O(nε), where 0 < ε < 1.
ER -