ISU Electrical and Computer Engineering Archives

Low-level estimation at high-levels of abstraction in system-level design

Schneider, Joseph P (2007) Low-level estimation at high-levels of abstraction in system-level design. Masters thesis, Iowa State University.

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Embedded systems are becoming increasingly complex with shortening time-to-market demands. System-level modeling and design have been proposed to help embedded system development keep pace with this complexity. In a system-level design environment, a designer is able to delay critical design decisions until late in the design cycle, reducing the risk of making incorrect decisions which could require a costly redesign. New methods of estimating system-level performance must be devised to accommodate these needs. In embedded systems composed of off-the-shelf parts, performance can be roughly estimated using part documentation. However, this process can provide poor estimates. Additionally, if the design includes a custom part, there may not be detailed documentation from which to gather performance estimates. Additionally, the exhaustive gathering of estimates is error prone and tedious. In this thesis we present a novel estimation technique called minimal characterization for creating system-level estimation metrics. We show that estimates can be orders of magnitude more accurate, without any loss in fidelity, using a small number of source-level metrics. We show results from applying a source-level performance estimation technique generally used on software systems to a system-level design that is implemented in both software and hardware targets. Finally, we present a categorization of secondary execution factors which can greatly affect the accuracy of system-level estimates but have only been peripherally addressed in other approaches.

EPrint Type:Thesis (Masters)
Subjects:Computer Engineering > SOFTWARE SYSTEMS > Real-Time and Embedded Systems
ID Code:320
Identification Number:TR-2007-04-7
Deposited By:Mr. Joseph Schneider
Deposited On:29 August 2007

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