Advantages and challenges of programming the Micron Automata Processor

dc.contributor.advisor Srinivas Aluru
dc.contributor.author Sabotta, Christopher
dc.contributor.department Department of Electrical and Computer Engineering
dc.date 2018-08-11T17:28:14.000
dc.date.accessioned 2020-06-30T02:50:56Z
dc.date.available 2020-06-30T02:50:56Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2013
dc.date.embargo 2015-07-30
dc.date.issued 2013-01-01
dc.description.abstract <p>Non-Von Neumann computer architectures are being explored for acceleration of difficult problems. The Automata Processor is a unique non Von Neumann architecture capable of efficient modeling and execution of non-deterministic finite automata. The Automata Processor is shown to be excellent in string comparison operations, specifically with regard to bioinformatics problems. A greatly accelerated solution for Prosite pattern matching using the Automata Processor called PROTOMOTA is presented. Furthermore, a developers' guide detailing the lessons learnt while designing and implementing PROTOMOTA is provided. It is hoped that the developers' guide would aid future developers to avoid critical pitfalls, while exploiting the capabilities of the Automata Processor to the fullest.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/13613/
dc.identifier.articleid 4620
dc.identifier.contextkey 5050454
dc.identifier.doi https://doi.org/10.31274/etd-180810-3459
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/13613
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/27800
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/13613/Sabotta_iastate_0097M_13993.pdf|||Fri Jan 14 19:57:06 UTC 2022
dc.subject.disciplines Computer Engineering
dc.subject.keywords Automata Processor
dc.subject.keywords Pattern matching
dc.subject.keywords Reconfigurable computing
dc.title Advantages and challenges of programming the Micron Automata Processor
dc.type thesis
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
thesis.degree.level thesis
thesis.degree.name Master of Science
File
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Sabotta_iastate_0097M_13993.pdf
Size:
1.03 MB
Format:
Adobe Portable Document Format
Description: