%0 Thesis %1 bagbaba2023optimizing %A Bağbaba, Ayşe %B HLRS %C Stuttgart %D 2023 %I Höchstleistungsrechenzentrum, Universität Stuttgart %K diss mult oa phf04 ubs_10004 ubs_10019 ubs_20004 ubs_20028 ubs_30045 unibibliografie %N 25 %R 10.18419/opus-13290 %T Optimizing I/O performance with machine learning supported auto-tuning

@phdthesis{bagbaba2023optimizing, added-at = {2023-07-28T13:21:19.000+0200}, address = {Stuttgart}, author = {Bağbaba, Ayşe}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2456c17e3832fd277bd549dc2655be7ef/unibiblio-3}, doi = {10.18419/opus-13290}, eventdate = {2023-01-16}, interhash = {dd49fe56b73ba95ffd52e239c47e554b}, intrahash = {456c17e3832fd277bd549dc2655be7ef}, keywords = {diss mult oa phf04 ubs_10004 ubs_10019 ubs_20004 ubs_20028 ubs_30045 unibibliografie}, language = {eng}, number = 25, publisher = {Höchstleistungsrechenzentrum, Universität Stuttgart}, school = {Universität Stuttgart}, series = {HLRS}, supervisor = {Resch, Michael}, supervisorgnd = {12319542X}, timestamp = {2023-07-28T13:57:21.000+0200}, title = {Optimizing I/O performance with machine learning supported auto-tuning}, type = {Dissertation}, year = 2023 }