Title :
High performance and resource efficient biological sequence alignment
Author :
Hasan, Laiq ; AL-Ars, Zaid ; Taouil, Mottaqiallah
Author_Institution :
Comput. Eng. Lab., Delft Univ. of Technol., Delft, Netherlands
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
In this paper, we present a novel method based on hardware partitioning to reduce the execution time and improve the resource utilization of biological sequence alignment, resulting in a higher performance as compared to conventional approaches. The paper shows that the method reduces the execution time and improves the resource utilization up to 33.3%. Further, equations are derived, showing the general trend of execution time reduction, resource utilization improvement and hence performance enhancement.
Keywords :
bioinformatics; molecular biophysics; molecular configurations; resource allocation; execution time; hardware partitioning; performance enhancement; resource efficient biological sequence alignment; resource utilization; Bioinformatics; Biology; Conferences; Databases; Equations; Hardware; Resource management; Bioinformatics; High Performance; Resource Utilization; Sequence Alignment; Smith-Waterman Algorithm; Algorithms; Pattern Recognition, Automated; Sequence Alignment; Sequence Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626740
