In search of a robust digital CNN system

Wen Hai Fang, Cheng Wang, Lambert Spaanenburg

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

6 Citeringar (SciVal)

Sammanfattning

Microelectronics promises a high component density and low power dissipation to embedded systems. Unfortunately such a component will always suffer from various error types that make the chip respond differently from its functional simulation. This is especially true for Cellular Neural Networks (CNN), which makes the determination of robust, low-precision parameters to guarantee small footprint and reliable operation an important design consideration. This paper describes the digital word width effects in a CNN implementation that must be considered to achieve a small size for a reliable system. It discusses the automated design space exploration using a Field-Programmable Gate-Array (FPGA) implementation to perform an optimal CNN parameters selection.
Originalspråkengelska
Titel på gästpublikationProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and Their Applications
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor328-333
Antal sidor6
ISBN (tryckt)1-4244-0639-0
DOI
StatusPublished - 2006
Evenemang10th International Workshop on Cellular Neural Networks and their Applications (CNNA) - Istanbul
Varaktighet: 2006 aug 282006 aug 30

Konferens

Konferens10th International Workshop on Cellular Neural Networks and their Applications (CNNA)
Period2006/08/282006/08/30

Ämnesklassifikation (UKÄ)

  • Elektroteknik och elektronik

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