Skip to main content
Sensors
Sensors
Sensors
Main navigation
Home
People
Principal Investigators
Research Scientists and Engineers
Students
All Profiles
Alumni
Former Members
Visiting Scholars
Events
All Events
Events Calendar
News
Pages
Publications
ISL Publications Repository
Research Output
About
Research
Oppotunities
Publications
Patents
Contact Us
hybrid multiprocessor technique
An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment
1 min read ·
Thu, Apr 29 2010
News
bioinformatics sequence alignment
Circuits
hybrid multiprocessor technique
Talal Bonny, et al., "An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment." In 2010 5th cairo international biomedical engineering conference, 2010, 112. Sequence alignment algorithms such as the Smith-Waterman algorithm are among the most important applications in the development of bioinformatics. Sequence alignment algorithms must process large amounts of data which may take a long time. Here, we introduce our Adaptive Hybrid Multiprocessor technique to accelerate the implementation of the Smith-Waterman algorithm. Our technique utilizes both the graphics