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 1-6 από 6 Αποτελέσματα - Αλαχιωτης Νικολαος
1 C. Theodoris, N. Alachiotis, T. M. Low and P. Pavlidis, "qLD: high-performance computation of linkage disequilibrium on CPU and GPU," in IEEE Int. Conf. Bioinform. Bioeng. BIBE, 2020, pp. 65-72. doi: 10.1109/BIBE50027.2020.00019.2022-01-24
2 P. Malakonakis, A. Brokalakis, N. Alachiotis, E. Sotiriades and A. Dollas, "Exploring modern FPGA platforms for faster phylogeny reconstruction with RAxML," in BIBE 2020, pp. 97-104, doi: 10.1109/BIBE50027.2020.000242022-01-07
3 N. Alachiotis, C. Vatsolakis, G. Chrysos and D. Pnevmatikatos, "RAiSD-X: a fast and accurate FPGA system for the detection of positive selection in thousands of genomes," ACM T. Reconfig. Techn. Syst., vol. 13, no. 1, Dec. 2019. doi: 10.1145/33642252020-04-02
4 N. Alachiotis, Ch. Vatsolakis, G. Chrysos and D. Pnevmatikatos, "Accelerated inference of positive selection on whole genomes," in 28th International Conference on Field-Programmable Logic and Applications, 2018, pp. 202-209. doi: 10.1109/FPL.2018.000412019-05-24
5 N. Alachiotis, D. Theodoropoulos and D. Pnevmatikatos, "Versatile deployment of FPGA accelerators in disaggregated data centers: A bioinformatics case study," in 27th International Conference on Field Programmable Logic and Applications, 2017. doi:10.23919/FPL.2017.8056812 2018-03-22
6 D. Bozikas, N. Alachiotis, P. Pavlidis, E. Sotiriades and A. Dollas, "Deploying FPGAs to future-proof genome-wide analyses based on linkage disequilibrium," in 27th International Conference on Field Programmable Logic and Applications, 2017, doi:10.23919/FPL.2017.8056814 2018-03-22