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Title:Parallelization of SIFT on Rigel
Author(s):Hussain, Ali A.
Advisor(s):Patel, Sanjay J.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Scale-Invariant Feature Transform (SIFT)
Image recognition
Abstract:With the trend towards parallel processing in computing, interest is developing in enabling workloads to be done at faster speeds to enable new usage models. SIFT is an algorithm for image detection and can be used for a variety of purposes. It collects key-point features that are invariant to changes in lighting, orientation and affine transforms. We ported the SIFT algorithm to the many-core architecture Rigel and studied the amount of speedup that can be gained by parallelizing the algorithm. Our results showed the algorithm to provide a speedup of 75x when parallelized over 128 cores.
Issue Date:2011-05-25
Rights Information:Copyright 2011 Ali A. Hussain
Date Available in IDEALS:2011-05-25
Date Deposited:2011-05

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