Analytical High-level Power model for LUT-based Components

Carreras Vaquer, Carlos and Jevtic, Ruzica (2009). Analytical High-level Power model for LUT-based Components. In: "18th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS'08", 10/09/2008-12/09/2008, Lisboa, Portugal. ISBN 978-3-540-95948-9.

Description

Title: Analytical High-level Power model for LUT-based Components
Author/s:
  • Carreras Vaquer, Carlos
  • Jevtic, Ruzica
Item Type: Presentation at Congress or Conference (Article)
Event Title: 18th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS'08
Event Dates: 10/09/2008-12/09/2008
Event Location: Lisboa, Portugal
Title of Book: Proceedings of the 18th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS'08. Integrated Circuit and System Design
Date: 2009
ISBN: 978-3-540-95948-9
Volume: 5349
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents an extended high-level model for logic power estimation of multipliers and adders implemented in FPGAs in the presence of glitching and correlation. The model is based on an analytical computation of the switching activity produced in the component and the FPGA implementation details of the component structure. It is extended to consider operands of different word-lengths, both zero-mean and non- zero mean signals, and the glitching produced inside the component, taking into account the sign nature of the autocorrelation coefficients of the components’ inputs. The number of simulations needed for the model characterization is extremely small and can be reduced to only two. As the final power model is analytical, it is capable of providing power estimates in miliseconds. The results show that the mean relative error is within 10% of low-level power estimates given by the XPower tool.

More information

Item ID: 4318
DC Identifier: https://oa.upm.es/4318/
OAI Identifier: oai:oa.upm.es:4318
Official URL: http://www.springerlink.com/content/g3073736v43406...
Deposited by: Memoria Investigacion
Deposited on: 24 Sep 2010 10:16
Last Modified: 20 Apr 2016 13:36
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