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	1-10 from 10 Results - Alachiotis Nikolaos
1	N. Alachiotis, P. Skrimponis, M. Pissadakis and D. Pnevmatikatos, “Scalable phylogeny reconstruction with disaggregated near-memory processing,” ACM Trans. Reconfigurable Technol. Syst., vol. 15, no. 3, 2022, doi: 10.1145/3484983.	2024-02-26
2	C. Theodoris, T. M. Low, P. Pavlidis, and N. Alachiotis, “quickLD: an efficient software for linkage disequilibrium analyses,” Mol. Ecol. Resour., vol. 21, no. 7, pp. 2580–2587, Oct. 2021, doi: 10.1111/1755-0998.13438.	2022-11-08
3	N. Alachiotis, A. Brokalakis, V. Amourgianos, S. Ioannidis, P. Malakonakis and T. Bokalidis, "Accelerating phylogenetics using FPGAs in the cloud," IEEE Micro, vol. 41, no. 4, pp. 24-30, 1 July-Aug. 2021, doi: 10.1109/MM.2021.3075848.	2022-11-01
4	P. Skrimponis, E. Pissadakis, N. Alachiotis, and D. Pnevmatikatos, “Accelerating binarized convolutional neural networks with dynamic partial reconfiguration on disaggregated FPGAs,” in Parallel Computing: Technology Trends, vol 36, Advances in Parallel Computing, I. Foster, G. R. Joubert, L. Kučera, W. E. Nagel, F. Peters, Eds., Amsterdam, The Netherlands: IOS Press, 2020, pp. 691 - 700, doi: 10.3233/APC200099.	2022-07-21
5	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
6	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/BIBE50027.2020.00024	2022-01-07
7	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: 10.1145/3364225	2020-04-02
8	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.2018.00041	2019-05-24
9	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
10	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