Hasan Laiq, Al-Ars Zaid, Taouil Mottaqiallah
Computer Engineering Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD, The Netherlands.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1767-70. doi: 10.1109/IEMBS.2010.5626740.
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 align- ment, 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.