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Generation of distributed arithmetic designs for reconfigurable applications

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dc.contributor.authorBobda, Christophe
dc.contributor.authorAhmadinia, Ali
dc.contributor.authorTeich, Jürgen
dc.contributor.editorBrinkschulte, Uwe
dc.contributor.editorBecker, Jürgen
dc.contributor.editorFey, Dietmar
dc.contributor.editorGroßpietsch, Karl-Erwin
dc.contributor.editorHochberger, Christian
dc.contributor.editorMaehle, Erik
dc.contributor.editorRunkler, Thomas A.
dc.date.accessioned2019-10-30T11:53:35Z
dc.date.available2019-10-30T11:53:35Z
dc.date.issued2004
dc.description.abstractWe present a tool for design and implementation of reconfigurable computing applications based on the use of distributed arithmetic. Our tool provides the user the possibility to investigate different tradeoffs like area vs speed for his design. After simulation of the design, a synthesizable HDL code for a reconfigurable platform can be generated. Beside the existing fixed-point solutions for real numbers, we present a new approach to handle real numbers in the IEEE 754 floating-point format. The tool is used in the implementation of two applications. The first one is the implementation of a recursive convolution algorithm for time domain simulation of multimode intrasystem interconnects and the second one is the implementation of adaptive mechatronical multi-controller systems.en
dc.identifier.isbn3-88579-370-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29368
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofARCS 2004 – Organic and pervasive computing
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-41
dc.titleGeneration of distributed arithmetic designs for reconfigurable applicationsen
dc.typeText/Conference Paper
gi.citation.endPage214
gi.citation.publisherPlaceBonn
gi.citation.startPage205
gi.conference.dateMarch 26, 2004
gi.conference.locationAugsburg
gi.conference.sessiontitleRegular Research Papers

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P041 - ARCS 2004 - Organic and Pervasive Computing