Optimal configuration of a parallel embedded system for synthetic aperture radar processing

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Title: Optimal configuration of a parallel embedded system for synthetic aperture radar processing
Author: Muehring, Jeffrey T
Abstract: Embedded systems often must adhere to strict size , weight and power (SWAP ) constraints and yet provide tremendous computational throughput . Increasing the difficulty of this challenge , there is a trend to utilize commercial -off -the -shelf (COTS ) components in the design of such systems to reduce both total cost and time to market . Employment of COTS components also promotes standardization and permits a more generalized approach to system evaluation and design than do systems designed at the application -specific -integrated -circuit (ASIC ) level . The computationally intensive application of synthetic aperture radar (SAR ) is by nature a high -performance embedded application that lends itself to parallelization . Mercury Computer Systems' RACE multicomputer is the COTS computing platform under investigation . With the target software and hardware defined , a system performance model , in the context of SWAP , is developed based on mathematical programming . This work proposes an optimization technique using a combination of constrained nonlinear and integer programming .
URI: http : / /hdl .handle .net /2346 /22581
Date: 1997-12

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Optimal configuration of a parallel embedded system for synthetic aperture radar processing. Master's thesis, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /22581 .

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