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- W2897438740 abstract "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)." @default.
- W2897438740 created "2018-10-26" @default.
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- W2897438740 date "2018-01-01" @default.
- W2897438740 modified "2023-09-26" @default.
- W2897438740 title "Performance comparison of parallel fastICA algorithm in the PLGrid structures" @default.
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- W2897438740 doi "https://doi.org/10.1051/itmconf/20182100026" @default.
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