DocumentCode :
1850681
Title :
Aligning block permutation methods for topology transformation on computational grids
Author :
Chen, Uei-Ren ; Lin, Woei
Author_Institution :
Dept. of Electron. Eng., Hsiuping Inst. of Technol., Taiwan
Volume :
1
fYear :
2010
fDate :
1-3 Aug. 2010
Abstract :
This Traditional parallel matrix computing algorithms usually perform on the regular resource topologies, such as a mesh. However, the grid resource topology is often irregular. To perform traditional parallel algorithms on a modern grid environment, the transformation method of grid resource topology for a virtual mesh is proposed in this paper. The basic idea of our transformation is based on the aligning block permutation in a virtual mesh. To utilize efficiently the computational and communicational abilities of grid resources, a heuristic search method is used in this transformation. The experiment results show that the aligning block permutation can reduce the time complexity of search tree and the heuristic search can find the block permutation with better utilization computational and communicational abilities of resources in computational grids.
Keywords :
computational complexity; grid computing; matrix algebra; mesh generation; parallel algorithms; aligning block permutation method; computational grids; grid resource topology; grid resources communicational ability; heuristic search method; parallel matrix computing algorithm; regular resource topology; search tree time complexity reduction; topology transformation; virtual mesh; Complexity theory; Cost function; Joining processes; Network topology; Parallel algorithms; Search methods; Topology; aligning block permutation; computational grid; grid resource topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
Type :
conf
DOI :
10.1109/ICEIE.2010.5559666
Filename :
5559666
Link To Document :
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