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Author Ramalho, R. ♦ Tomás, P. ♦ Sousa, L.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Jacobian matrices ♦ Algorithm design and analysis ♦ Instruction sets ♦ eigenvalue decomposition ♦ Independent component analysis ♦ Eigenvalues and eigenfunctions ♦ Decorrelation ♦ graphics processing units ♦ Graphics processing unit
Abstract Several problems in the signal processing field require generating suitable representations of data. One possible form of representation is given by independent component analysis (ICA). The computation of these representations can be quite expensive, especially if large datasizes are used. Over the last few years graphics processing units (GPUs) have emerged as inexpensive general-purpose computation accelerators. This paper presents an implementation of FastICA, an ICA algorithm, on a multicore GPU. The resulting implementation achieved an overall speedup of 55 for estimating 256 independent components, each with 1000 samples, regarding the implementation on a general purpose processor running at 2 GHz.
ISBN 9781424475476
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-06-29
Publisher Place United Kingdom
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424475483
Size (in Bytes) 387.90 kB
Page Count 6
Starting Page 1128
Ending Page 1133

Source: IEEE Xplore Digital Library