Title page for ETD etd-08062002-153410


Type of Document Master's Thesis
Author Worek, William J.
URN etd-08062002-153410
Title Matching Genetic Sequences in Distributed Adaptive Computing Systems
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Jones, Mark T. Committee Chair
Athanas, Peter M. Committee Member
Baker, James M. Jr. Committee Member
Keywords
  • FPGAs
  • configurable computing
  • adaptive computing
  • genetic sequences
  • pattern matching
Date of Defense 2002-07-29
Availability unrestricted
Abstract
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.
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