ITM Web Conf.
Volume 21, 2018Computing in Science and Technology (CST 2018)
|Number of page(s)||7|
|Published online||12 October 2018|
Performance comparison of parallel fastICA algorithm in the PLGrid structures
Department of Neuroinformatics, Institute of Computer Science, Maria Curie-Sklodowska University, ul. Akademicka 9, 20-033 Lublin, Poland
2 Institute of Mathematics, Maria Curie-Sklodowska University, Plac Marii Curie-Sklodowskiej 1, 20-031 Lublin, Poland
* Corresponding author: firstname.lastname@example.org
During processing the EEG signal, the methods of cleaning it from artifacts play an important role. One of the most commonly used methods is ICA (independent component analysis) [1-3]. However, algorithms of this type are computationally expensive. Known implementations of ICA type algorithms rarely include the possibility of parallel computing and do not use the capabilities provided by the architecture itself. This paper presents a parallel implementation of the fastICA algorithm using the available libraries and extensions of the Intel processors (such as BLAS, MKL, Cilk Plus) and compares the execution time for two selected architectures in the PLGrid structure (Zeus and Prometheus).
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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