QUINONES, Eduardo, ROYUELA, Sara, SCORDINO, Claudio, GAI, Paolo, PINHO, Luis Miguel, NOGUEIRA, Luis, ROLLO, Jan, CUCINOTTA, Tommaso, BIONDI, Alessandro, HAMANN, Arne, ZIEGENBEIN, Dirk, SAOUD, Hadi, SOULAT, Romain, FORSBERG, Bjorn, BENINI, Luca, MANDO, Gianluca und RUCHER, Luigi, 2020. The AMPERE Project: : A Model-driven development framework for highly Parallel and Ene Rgy-Efficient computation supporting multi-criteria optimization. In: . 1 Mai 2020.
Elsevier - Harvard (with titles)Quinones, E., Royuela, S., Scordino, C., Gai, P., Pinho, L.M., Nogueira, L., Rollo, J., Cucinotta, T., Biondi, A., Hamann, A., Ziegenbein, D., Saoud, H., Soulat, R., Forsberg, B., Benini, L., Mando, G., Rucher, L., 2020. The AMPERE Project: : A Model-driven development framework for highly Parallel and Ene Rgy-Efficient computation supporting multi-criteria optimization, in: . https://doi.org/10.1109/ISORC49007.2020.00042
American Psychological Association 7th editionQuinones, E., Royuela, S., Scordino, C., Gai, P., Pinho, L. M., Nogueira, L., Rollo, J., Cucinotta, T., Biondi, A., Hamann, A., Ziegenbein, D., Saoud, H., Soulat, R., Forsberg, B., Benini, L., Mando, G., & Rucher, L. (2020, Mai 1). The AMPERE Project: : A Model-driven development framework for highly Parallel and Ene Rgy-Efficient computation supporting multi-criteria optimization. https://doi.org/10.1109/ISORC49007.2020.00042
Springer - Basic (author-date)Quinones E, Royuela S, Scordino C, Gai P, Pinho LM, Nogueira L, Rollo J, Cucinotta T, Biondi A, Hamann A, Ziegenbein D, Saoud H, Soulat R, Forsberg B, Benini L, Mando G, Rucher L (2020) The AMPERE Project: : A Model-driven development framework for highly Parallel and Ene Rgy-Efficient computation supporting multi-criteria optimization
Juristische Zitierweise (Stüber) (Deutsch)Quinones, Eduardo/ Royuela, Sara/ Scordino, Claudio/ Gai, Paolo/ Pinho, Luis Miguel/ Nogueira, Luis/ Rollo, Jan/ Cucinotta, Tommaso/ Biondi, Alessandro/ Hamann, Arne/ Ziegenbein, Dirk/ Saoud, Hadi/ Soulat, Romain/ Forsberg, Bjorn/ Benini, Luca/ Mando, Gianluca/ Rucher, Luigi, The AMPERE Project: : A Model-driven development framework for highly Parallel and Ene Rgy-Efficient computation supporting multi-criteria optimization, 2020, .