DocumentCode
3229684
Title
Parallel multiple sequences alignment in SMP cluster
Author
Tan, Guangming ; Feng, Shengzhong ; Sun, Ninghui
Author_Institution
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
fYear
2005
fDate
1-1 July 2005
Lastpage
431
Abstract
Multiple sequences alignment is a fundamental and challenging problem in computational molecular biology. It is commonly used to analyse the DNA/protein sequences. To develop a high efficient parallel algorithm is a very important solution to speedup this time consuming problem. However, due to the irregular computation behaviors based on tree, it is difficult to achieve good load balancing, so the utilization of processor is very low. This paper presents a parallel multiple sequences alignment algorithm featuring a mixed fine and coarse grained parallelization approach. The parallel algorithm is suitable to be implemented in SMP cluster, which is the main architecture of current cluster systems. We implemented the parallel algorithm in SMP cluster using a hybrid MPI/OpenMP method and the experimental results shows that the mixed fine and coarse algorithm achieves higher speedup
Keywords
biology computing; message passing; molecular biophysics; open systems; parallel algorithms; resource allocation; shared memory systems; workstation clusters; DNA sequence analysis; SMP cluster; computational molecular biology; hybrid MPI/OpenMP; load balancing; parallel algorithm; parallel multiple sequences alignment; protein sequence analysis; Approximation algorithms; Biology computing; Clustering algorithms; Concurrent computing; DNA; Parallel algorithms; Polynomials; Proteins; Sequences; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7695-2486-9
Type
conf
DOI
10.1109/HPCASIA.2005.70
Filename
1592300
Link To Document