Masters Theses

Abstract

"Onboard real-time processing is highly desirable in airborne detection applications. As the data processing involved here is computationally expensive, typically high power multi-rack system is required to achieve real-time detection. Use of such hardware is often not feasible in an airborne application due to space, power and weight constraints. In this thesis, different computing architectures suitable for real-time onboard processing are compared in terms of computation speed, watts/GFLOPS, and weight/GFLOPS. A brief description of the modem GPU architecture and the current GPGPU technology is provided. GPU implementations of some computationally expensive image processing applications such as band-to-band registration for Multi Spectral Imagery (MSI), image registration, and multiband RX anomaly detector are described. The sub-problems that can be efficiently parallelized on the Single Instruction Multiple Data (SIMD) architecture of the GPU are identified and the results are compared to those obtained using Matlab and Intel Performance Primitives (IPP) on multicore Intel processors"--Abstract, page iii.

Advisor(s)

Agarwal, Sanjeev, 1971-

Committee Member(s)

Moss, Randy Hays, 1953-
Madria, Sanjay Kumar

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2010

Pagination

viii, 42 pages

Note about bibliography

Includes bibliographical references (pages 38-41).

Rights

© 2010 Dheeraj Singiresu, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Graphics processing units
Image processing -- Computer simulation
High performance computing
Remote sensing

Thesis Number

T 10262

Print OCLC #

863154087

Electronic OCLC #

909614155

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