Realizations of Rank-Revealing Algorithms on CPU and GPU
Date Issued
2016
Date
2016
Author(s)
Lee, Yung-Kang
Abstract
Rank is an important characteristic of a matrix. In this thesis, we realize a known efficient rank-revealing algorithm out of MATLAB, into native C++ environment to achieve greater efficiency. Further more, we utilize the power of GPGPU (General Purpose Graphic Process Unit) to further accelerate the algorithm. The algorithm gained its efficiency due to utilization of basic BLAS routine instead of more expensive LAPACK routine, which translates well to acceleration on GPGPU.
Subjects
Matrix
Rank Reveal
Type
thesis
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ntu-105-R03246003-1.pdf
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