Matching Genetic Sequences in Distributed Adaptive Computing Systems

Distributed adaptive computing systems (ACS) allow developers to design applications using multiple programmable devices. The ACS API, an API created for distributed adaptive com-puting, gives developers the ability to design scalable ACS systems in a cluster networking environment for large applications. One such application, found in the field of bioinformatics, is the DNA sequence alignment problem. This thesis presents a runtime reconfigurable FPGA implementation of the Smith-Waterman similarity comparison algorithm. Additionally, this thesis presents tools designed for the ACS API that assist developers creating applications in a heterogeneous distributed adaptive computing environment.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Department dc:contributor.department

Electrical and Computer Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2002

Author dc:creator

• Worek, William J.

Chair dc:contributor.committeechair

• Jones, Mark T.

Committee members dc:contributor.committeemember

• Baker, James M. Jr.
• Athanas, Peter M.

• FPGAs
• configurable computing
• adaptive computing
• genetic sequences
• pattern matching

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-08062002-153410

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/34374