DIEGUEZ, Adrian P, OCKERMAN, Seth, AIKMAN, Tristan, CHO, Younghyun, LIU, Yang und IBRAHIM, Khaled Z, 2025. Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization. International Journal of High Performance Computing Applications. 1 September 2025. Vol. 39, no. 5, p. 631-654. DOI 10.1177/10943420251362001.
Elsevier - Harvard (with titles)Dieguez, A.P., Ockerman, S., Aikman, T., Cho, Y., Liu, Y., Ibrahim, K.Z., 2025. Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization. International Journal of High Performance Computing Applications 39, 631-654. https://doi.org/10.1177/10943420251362001
American Psychological Association 7th editionDieguez, A. P., Ockerman, S., Aikman, T., Cho, Y., Liu, Y., & Ibrahim, K. Z. (2025). Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization. International Journal of High Performance Computing Applications, 39(5), 631-654. https://doi.org/10.1177/10943420251362001
Springer - Basic (author-date)Dieguez AP, Ockerman S, Aikman T, Cho Y, Liu Y, Ibrahim KZ (2025) Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization.. International Journal of High Performance Computing Applications 39:631-654. https://doi.org/10.1177/10943420251362001
Juristische Zitierweise (Stüber) (Deutsch)Dieguez, Adrian P/ Ockerman, Seth/ Aikman, Tristan/ Cho, Younghyun/ Liu, Yang/ Ibrahim, Khaled Z, Parallelizing autotuning for HPC applications: Unveiling the potential of the speculation strategy in Bayesian optimization., International Journal of High Performance Computing Applications 2025, 631-654.