Title :
Sequence Alignment with Traceback on Reconfigurable Hardware
Author :
Lloyd, Scott ; Snell, Quinn O.
Author_Institution :
Dept. of Comput. Sci., Brigham Young Univ., Provo, UT
Abstract :
Biological sequence alignment is an essential tool used in molecular biology and biomedical applications. The growing volume of genetic data and the complexity of sequence alignment present a challenge in obtaining alignment results in a timely manner. Known methods to accelerate alignment on reconfigurable hardware only address sequence comparison, limit the sequence length, or exhibit memory and I/O bottlenecks. A space-efficient, global sequence alignment algorithm and architecture is presented that accelerates the forward scan and traceback in hardware without memory and I/O limitations. With 256 processing elements in FPGA technology, a performance gain over 300 times that of a desktop computer is demonstrated on sequence lengths of 16000. For greater performance, the architecture is scalable to more processing elements.
Keywords :
field programmable gate arrays; reconfigurable architectures; FPGA; desktop computer; forward scan; global sequence alignment algorithm; reconfigurable hardware; sequence comparison; traceback; Acceleration; Biology computing; Computer architecture; DNA; Databases; Field programmable gate arrays; Genetics; Hardware; Sequences; Systolic arrays; accelerate; alignment; architecture; biological; sequence;
Conference_Titel :
Reconfigurable Computing and FPGAs, 2008. ReConFig '08. International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3748-1
Electronic_ISBN :
978-0-7695-3474-9
DOI :
10.1109/ReConFig.2008.30