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AuthorLayer, Christophedc.contributor.author
Date of accession2016-03-14T15:19:09Zdc.date.accessioned
Available in OPARU since2016-03-14T15:19:09Zdc.date.available
Year of creation2007dc.date.created
AbstractAs a matter of fact, information retrieval has changed considerably in recent years with the expansion of the Internet and the advent of always more modern and inexpensive mass storage devices. Due to the enormous increase in stored digital contents, multi-media devices must provide effective and intelligent search functionalities. However, in order to retrieve a few relevant kilobytes from a large digital store, one moves up to hundreds of gigabytes of data between memory and processor over a bandwidth-restricted bus. The only long-term solution is to delegate this task to the storage medium itself. For that purpose, this thesis describes the development and prototyping of an associative search coprocessor called ACE: an Associative Computing Engine dedicated to the retrieval of digital information by means of approximate matching procedures. In this work, the two most important features are the overall scalability of the design allowing the support of different bit widths and module depths along the data path, as well as the obtainment of the minimum hardware area while ensuring the maximum throughput of the global architecture.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandard (Fassung vom 03.05.2003)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v1dc.rights.uri
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
TitleA coprocessor for fast searching in large databases: Associative Computing Enginedc.title
Resource typeDissertationdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-891dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-60254dc.identifier.urn
GNDDigitalschaltungdc.subject.gnd
GNDField programmable gate arraydc.subject.gnd
GNDParallelverarbeitungdc.subject.gnd
GNDSortierendc.subject.gnd
GNDSystem-on-Chipdc.subject.gnd
GNDText Miningdc.subject.gnd
GNDVLSIdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Date of activation2007-10-25T11:44:59Zuulm.freischaltungVTS
Peer reviewneinuulm.peerReview
Shelfmark print versionZ: J-H 11.592 ; W: W-H 9.796uulm.shelfmark
DCMI TypeTextuulm.typeDCMI
VTS-ID6025uulm.vtsID
CategoryPublikationenuulm.category
University Bibliographyjauulm.unibibliographie


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