BELCASTRO, Loris, GIAMPÀ, Salvatore, MAROZZO, Fabrizio, TALIA, Domenico, TRUNFIO, Paolo, BADIA, Rosa M., EJARQUE, Jorge und MAMMADLI, Nihad, 2024. Boosting HPC data analysis performance with the Par So DA-Py library. Journal of Supercomputing. 15 Mai 2024. Vol. 80, no. 8, p. 11741-11761. DOI 10.1007/s11227-023-05883-z.
Elsevier - Harvard (with titles)Belcastro, L., Giampà, S., Marozzo, F., Talia, D., Trunfio, P., Badia, R.M., Ejarque, J., Mammadli, N., 2024. Boosting HPC data analysis performance with the Par So DA-Py library. Journal of Supercomputing 80, 11741-11761. https://doi.org/10.1007/s11227-023-05883-z
American Psychological Association 7th editionBelcastro, L., Giampà, S., Marozzo, F., Talia, D., Trunfio, P., Badia, R. M., Ejarque, J., & Mammadli, N. (2024). Boosting HPC data analysis performance with the Par So DA-Py library. Journal of Supercomputing, 80(8), 11741-11761. https://doi.org/10.1007/s11227-023-05883-z
Springer - Basic (author-date)Belcastro L, Giampà S, Marozzo F, Talia D, Trunfio P, Badia RM, Ejarque J, Mammadli N (2024) Boosting HPC data analysis performance with the Par So DA-Py library.. Journal of Supercomputing 80:11741-11761. https://doi.org/10.1007/s11227-023-05883-z
Juristische Zitierweise (Stüber) (Deutsch)Belcastro, Loris/ Giampà, Salvatore/ Marozzo, Fabrizio/ Talia, Domenico/ Trunfio, Paolo/ Badia, Rosa M./ Ejarque, Jorge/ Mammadli, Nihad, Boosting HPC data analysis performance with the Par So DA-Py library., Journal of Supercomputing 2024, 11741-11761.