publication
Publication details
- Predicting Performance of Non-Contiguous I/O with Machine Learning (Julian Kunkel, Eugen Betke, Michaela Zimmer), In High Performance Computing, 30th International Conference, ISC High Performance 2015, Lecture Notes in Computer Science (9137), pp. 257–273, (Editors: Julian Martin Kunkel, Thomas Ludwig), ISC High Performance, Frankfurt, ISSN: 0302-9743,
Publication details
BibTeX
@inproceedings{PPONIWMLKB,
author = {Julian Kunkel and Eugen Betke and Michaela Zimmer},
title = {{Predicting Performance of Non-Contiguous I/O with Machine Learning}},
booktitle = {{High Performance Computing, 30th International Conference, ISC High Performance 2015}},
editor = {Julian Martin Kunkel and Thomas Ludwig},
series = {Lecture Notes in Computer Science},
number = {9137},
pages = {257--273},
conference = {ISC High Performance},
location = {Frankfurt},
issn = {0302-9743},
}
* Predicting Performance of Non-Contiguous I/O with Machine Learning (Julian Kunkel, Eugen Betke, Michaela Zimmer), In Parallel Data Storage Workshop (PDSW), Work in progress session, pp. 43–48, SC14, New Orleans,
Publication details – URL
BibTeX
@inproceedings{PPONIWMLKB,
author = {Julian Kunkel and Eugen Betke and Michaela Zimmer},
title = {{Predicting Performance of Non-Contiguous I/O with Machine Learning}},
booktitle = {{Parallel Data Storage Workshop (PDSW), Work in progress session}},
pages = {43--48},
conference = {SC14},
location = {New Orleans},
url = {http://www.pdsw.org/pdsw14/wips/kunkel-wip-pdsw14.pdf},
}
publication.txt · Last modified: 2019-01-23 10:26 by 127.0.0.1