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Variation-aware placement tool for Field Programmable Gate Array devices

Author(s)
Perez, Christopher E
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Alternative title
process variation-aware placement tool for FGPA devices
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
Arif Rahman and Charles G. Sodini.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Introduction: As semiconductor technologies become more advanced, process variations within microelectronic devices, including variations in channel length or in oxide thickness, play a much more important role with regards to circuit delay and leakage power dissipation. These process variations cause variability in circuit performance characteristics that can be minimized by improving process control techniques, resulting in more predictable behavior. However, if we are concerned with programmable logic devices like FPGAs affected by variation, the circuit designer in the field has no control over or knowledge about the manner in which process variations affect the device and the final circuit implementation. Our research here is aimed at developing and incorporating process variation models into circuit design and implementation tools for FPGAs. With variation aware tools, programmable logic device users will have the opportunity to produce circuit implementations that are fully optimized for performance given the presence of process variations.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
 
Includes bibliographical references (p. 97-98).
 
Date issued
2007
URI
http://hdl.handle.net/1721.1/41664
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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