title: High performance and resource efficient biological sequence alignment.
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 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.
authors.affiliation: Computer Engineering Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD, The Netherlands. L.HASAN@TUDELFT.NL
authors.forename: Laiq
authors.initials: L
authors.lastname: Hasan
authors.forename: Zaid
authors.initials: Z
authors.lastname: Al-Ars
authors.forename: Mottaqiallah
authors.initials: M
authors.lastname: Taouil
mesh_terms: D000465:Algorithms; D010363:Pattern Recognition, Automated / Q000379:methods*; D016415:Sequence Alignment / Q000379:methods*; D017421:Sequence Analysis / Q000379:methods*