Parallel dynamic programming

Recurrence formulations for various problems, such as finding an optimal order of matrix multiplication, finding an optimal binary search tree, and optimal triangulation of polygons, assume a similar form. A. Gibbons and W. Rytter (1988) gave a CREW PRAM algorithm to solve such dynamic programming p...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 5; no. 3; pp. 326 - 328
Main Authors: Huang, S.-H.S., Hongfei Liu, Viswanathan, V.
Format: Journal Article
Language:English
Published: Los Alamitos, CA IEEE 01.03.1994
IEEE Computer Society
Subjects:
Applied sciences
Binary search trees
Computer architecture
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Concurrent computing
Conferences
Dynamic programming
Exact sciences and technology
Histograms
Labeling
Parallel processing
Phase change random access memory
Software
Very large scale integration
Parallel algorithm
Reduction
Processor
Parallelism
Dynamic programming
Distributed system
Algorithm analysis
ISSN:1045-9219
Online Access:Get full text
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Summary:Recurrence formulations for various problems, such as finding an optimal order of matrix multiplication, finding an optimal binary search tree, and optimal triangulation of polygons, assume a similar form. A. Gibbons and W. Rytter (1988) gave a CREW PRAM algorithm to solve such dynamic programming problems. The algorithm uses O(n/sup 6//log n) processors and runs in O(log/sup 2/ n) time. In this article, a modified algorithm is presented that reduces the processor requirement to O(n/sup 6//log /sup 5/n) while maintaining the same time complexity of O(log/sup 2/ n).< >
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ISSN:1045-9219
DOI:10.1109/71.277784