2026-09-19T12:55:29Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/412502022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Saman Amarasinghe.
Aziz, Abdulbasier
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2008-04-23T14:35:40Z
2008-04-23T14:35:40Z
2007
2007
http://hdl.handle.net/1721.1/41250
213385950
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 57-59).
In this thesis, a computer vision application was implemented in the StreamIt language. The reference application was an image-based motion estimation algorithm written in MATLAB. The intent of this thesis is to contribute a case study of StreamIt, an architecture-independent language designed for stream programming. In particular, it observes StreamIt's ability to preserve block structure and to handle otherwise complicated functionality in an elegant fashion, especially in comparison to the reference implementation, coded in MATLAB. Furthermore, we observe a runtime of the StreamIt-coded application 2% faster than that of MATLAB. Lastly, the potentials of boosted performance with parallelization of subroutines within the program are discussed.
by Abdulbasier Aziz.
M.Eng.
59 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Image-based motion estimation in a stream programming language
Thesis
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