| 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 |
| Dr. Mark T. Jones |
Committee Chair |
| Dr. James M. Baker |
Committee Member |
| Dr. Peter Athanas |
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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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
| |
thesis.pdf |
829.07 Kb |
00:03:50 |
00:01:58 |
00:01:43 |
00:00:51 |
00:00:04 |
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