PWL cores for nonlinear array processing
This paper presents an analysis of different alternatives for the realization of a VLSI cell in a nonlinear neuronal array, based on a simplicial piecewise linear (PWL) operation. Depending on the type of existing design constraints, namely, speed or density, different bus sizes can be used to broad...
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creator | Di Federico, M Julián, P Mandolesi, P S Andreou, A G |
description | This paper presents an analysis of different alternatives for the realization of a VLSI cell in a nonlinear neuronal array, based on a simplicial piecewise linear (PWL) operation. Depending on the type of existing design constraints, namely, speed or density, different bus sizes can be used to broadcast the parameters stored in the memory, and in addition, row and column operations can be serialized. Based on a 90nm technology process, the different options will be analyzed and compared using simulations. |
doi_str_mv | 10.1109/ISCAS.2010.5537906 |
format | Conference Proceeding |
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Depending on the type of existing design constraints, namely, speed or density, different bus sizes can be used to broadcast the parameters stored in the memory, and in addition, row and column operations can be serialized. 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Depending on the type of existing design constraints, namely, speed or density, different bus sizes can be used to broadcast the parameters stored in the memory, and in addition, row and column operations can be serialized. Based on a 90nm technology process, the different options will be analyzed and compared using simulations.</description><subject>Arithmetic</subject><subject>Array signal processing</subject><subject>Cellular neural networks</subject><subject>CMOS technology</subject><subject>Computational modeling</subject><subject>Microprocessors</subject><subject>Photodiodes</subject><subject>Piecewise linear techniques</subject><subject>Standards development</subject><subject>Very large scale integration</subject><issn>0271-4302</issn><issn>2158-1525</issn><isbn>1424453089</isbn><isbn>9781424453085</isbn><isbn>9781424453092</isbn><isbn>1424453097</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM1KAzEYRT9_Co51XkA3s3STmnz5X5ahamFAoYrLkmQSGakzJXHTt7dgvZvD5cBdXIBbRheMUfuw3rTLzQLpsUvJtaXqDGqrDRMohOTU4jlUyKQhTKK8gOt_YewlVBQ1I4JTnEFlKFFCHc0V1KV80WOERMV1BfevH10TphxLk6bcjNO4G8bocuNydodmn6cQSxnGzxuYJbcrsT5xDu-Pq7f2mXQvT-t22ZGBaflDUs-4DH30nPuoubLeeh8CJmUw9kEkmnrHnXKog-tFclqk6I1IRkjJ0PM53P3tDjHG7T4P3y4ftqcD-C-B4Ui8</recordid><startdate>201005</startdate><enddate>201005</enddate><creator>Di Federico, M</creator><creator>Julián, P</creator><creator>Mandolesi, P S</creator><creator>Andreou, A G</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201005</creationdate><title>PWL cores for nonlinear array processing</title><author>Di Federico, M ; Julián, P ; Mandolesi, P S ; Andreou, A G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-fd135cdeb33be7369b9bbcc2f682edc4f0fda3a6a27cad4fa74feb84f845512b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Arithmetic</topic><topic>Array signal processing</topic><topic>Cellular neural networks</topic><topic>CMOS technology</topic><topic>Computational modeling</topic><topic>Microprocessors</topic><topic>Photodiodes</topic><topic>Piecewise linear techniques</topic><topic>Standards development</topic><topic>Very large scale integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Di Federico, M</creatorcontrib><creatorcontrib>Julián, P</creatorcontrib><creatorcontrib>Mandolesi, P S</creatorcontrib><creatorcontrib>Andreou, A G</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Di Federico, M</au><au>Julián, P</au><au>Mandolesi, P S</au><au>Andreou, A G</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>PWL cores for nonlinear array processing</atitle><btitle>2010 IEEE International Symposium on Circuits and Systems (ISCAS)</btitle><stitle>ISCAS</stitle><date>2010-05</date><risdate>2010</risdate><spage>3312</spage><epage>3316</epage><pages>3312-3316</pages><issn>0271-4302</issn><eissn>2158-1525</eissn><isbn>1424453089</isbn><isbn>9781424453085</isbn><eisbn>9781424453092</eisbn><eisbn>1424453097</eisbn><abstract>This paper presents an analysis of different alternatives for the realization of a VLSI cell in a nonlinear neuronal array, based on a simplicial piecewise linear (PWL) operation. Depending on the type of existing design constraints, namely, speed or density, different bus sizes can be used to broadcast the parameters stored in the memory, and in addition, row and column operations can be serialized. Based on a 90nm technology process, the different options will be analyzed and compared using simulations.</abstract><pub>IEEE</pub><doi>10.1109/ISCAS.2010.5537906</doi><tpages>5</tpages></addata></record> |
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subjects | Arithmetic Array signal processing Cellular neural networks CMOS technology Computational modeling Microprocessors Photodiodes Piecewise linear techniques Standards development Very large scale integration |
title | PWL cores for nonlinear array processing |
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