Masters Theses

Date of Award


Degree Type


Degree Name

Master of Science


Computer Science

Major Professor

Michael Vose

Committee Members

James Plank, Michael Berry


The Computed Tomography Imaging Spectrometer (CTIS) is a device capable of simultaneously acquiring imagery from multiple bands of the electromagnetic spectrum. Due to the method of data collection from this system, a processing intensive reconstruction phase is required to resolve the image output. This paper evaluates a parallelized implementation of the Vose-Horton CTIS reconstruction algorithm using the Cell processor. In addition to demonstrating the feasibility of a mixed precision implementation, it is shown that use of the parallel processing capabilities of the Cell may provide a signi cant reduction in reconstruction time.

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