RITTER, Marcus und WOLF, Felix, 2023. Extra-Deep: automated empirical performance modeling for distributed deep learning. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23). 2023. No. (2023), Seite 1345-1356, p. , Seite 1345-1356. DOI 10.1145/3624062.3624204.
Elsevier - Harvard (with titles)Ritter, M., Wolf, F., 2023. Extra-Deep: automated empirical performance modeling for distributed deep learning. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23) , Seite 1345-1356. https://doi.org/10.1145/3624062.3624204
American Psychological Association 7th editionRitter, M., & Wolf, F. (ca. 2023). Extra-Deep: automated empirical performance modeling for distributed deep learning [Electronic]. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23), (2023), Seite 1345-1356, , Seite 1345-1356. https://doi.org/10.1145/3624062.3624204
Springer - Basic (author-date)Ritter M, Wolf F (2023) Extra-Deep: automated empirical performance modeling for distributed deep learning. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23) , Seite 1345-1356. https://doi.org/10.1145/3624062.3624204
Juristische Zitierweise (Stüber) (Deutsch)Ritter, Marcus/ Wolf, Felix, Extra-Deep: automated empirical performance modeling for distributed deep learning, Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W ’23) 2023, , Seite 1345-1356.