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Accessed on 24 June 2020
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ble/sdk-for-opencl/overview.html. Accessed on 24 June 2020
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Society of the Pacific Conference Series (ASPC), vol. 213 (2000), pp. 501
16. M. Frigo, S.-G. Johnson, The Fastest Fourier Transform in the West. Technical Report MITLCS-TR-728 (1997)
17. M. Frigo, S.-G. Johnson, FFTW: an adaptive software architecture for the FFT, in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing,
ICASSP’98, vol. 3 (1998), pp. 1381–1384. https://doi.org/10.1109/ICASSP.1998.681704
18. M. Frigo, S.-G. Johnson, The design and implementation of FFTW3. Proc. IEEE 93(2), 216–
231 (2005). https://doi.org/10.1109/JPROC.2004.840301
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Manual_071113-0.pdf. Accessed on 24 June 2020
20. R. Lulli, G. Bianchi, J. Monari, S. Montebugnoli, Low cost SETI data multi-processing, in
International Astronautical Federation (IAF) (eds.), Proceedings of the 69th International
Astronautical Congress (IAC 2018) IAC-18.A4.1.5 (2018), pp. 2377–2382
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Accessed on 24 June 2020
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the Poisson equation. Journal of Parallel and Distributed. Computing 74(8), 2745–2756 (2014).
https://doi.org/10.1016/j.jpdc.2014.03.009
25. G. Teodoro, T. Kurc, J. Kong, L. Cooper, J. Saltz, Comparative performance analysis of Intel
Xeon Phi, GPU, and CPU: a case study from microscopy image analysis. IEEE Trans. Parallel
Distrib. Syst. 1063–1072 (2014). https://doi.org/10.1109/IPDPS.2014.111
26. J. Fang, A. Varbanescu, B. Imbernón, J. Cecilia, H. Pérez-Sánchez, Parallel computation of
non-bonded interactions in drug discovery: Nvidia GPUs vs. Intel Xeon Phi, in Proceedings
of the 2nd International Work-Conference on Bioinformatics and Biomedical Engineering
(IWBBIO’14) (2014)
27. T. Liu, S.-G. Xu, C.-D. Carothers, Comparison of two accelerators for Monte Carlo radiation
transport calculations, Nvidia Tesla M2090 GPU and Intel Xeon Phi 5110p coprocessor: a case
study for X-ray CT imaging dose calculation. Ann. Nucl. Energy 82, 230–239 (2015). https://
doi.org/10.1016/j.anucene.2014.08.061
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2020
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