Fifth International Conference on Information Technology: New Generations (itng 2008) A Coarse Grain Multicomputer Algorithm Solving the Optimal Binary Search Tree Problem April 07-April 09 ISBN: 978-0-7695-3099-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITNG.2008.158
This paper presents a CGM parallel algorithm forthe cost of the Optimal Binary Search Tree Problem(OBST Problem). The best sequential algorithm forthis problem, due to Knuth, requires O(n2) time stepsand O(n2) space. Our CGM (Coarse GrainMulticomputer) algorithm uses p processors, each withO(n2/p) local memory. It requires O(p) communicationrounds and O(n2/p) local computations per processor.To the best of our knowledge, it is the first CGMparallel algorithm, based on the Knuth sequentialversion of the OBST problem.
Index Terms:
Dynamic programming, Parallel algorithm, CGM, BSP
Citation:
Mounir Kechid, Jean Fr?d?ric Myoupo, "A Coarse Grain Multicomputer Algorithm Solving the Optimal Binary Search Tree Problem," itng, pp.1186-1189, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||