Gence Ozer, Sarthak Garg, Neda Davoudi, Gabrielle Poerwawinata, Matthias Maiterth, Alessio Netti, Daniele Tafani. Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning. In Ulrich Schwardmann, Christian Boehme, Dora B. Heras, Valeria Cardellini, Emmanuel Jeannot, Antonio Salis, Claudio Schifanella, Ravi Reddy Manumachu, Dieter Schwamborn, Laura Ricci, Oh Sangyoon, Thomas Gruber, Laura Antonelli, Stephen L. Scott, editors, Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers. Volume 11997 of Lecture Notes in Computer Science, pages 626-638, Springer, 2019. [doi]
@inproceedings{OzerGDPMNT19,
title = {Towards a Predictive Energy Model for HPC Runtime Systems Using Supervised Learning},
author = {Gence Ozer and Sarthak Garg and Neda Davoudi and Gabrielle Poerwawinata and Matthias Maiterth and Alessio Netti and Daniele Tafani},
year = {2019},
doi = {10.1007/978-3-030-48340-1_48},
url = {https://doi.org/10.1007/978-3-030-48340-1_48},
researchr = {https://researchr.org/publication/OzerGDPMNT19},
cites = {0},
citedby = {0},
pages = {626-638},
booktitle = {Euro-Par 2019: Parallel Processing Workshops - Euro-Par 2019 International Workshops, Göttingen, Germany, August 26-30, 2019, Revised Selected Papers},
editor = {Ulrich Schwardmann and Christian Boehme and Dora B. Heras and Valeria Cardellini and Emmanuel Jeannot and Antonio Salis and Claudio Schifanella and Ravi Reddy Manumachu and Dieter Schwamborn and Laura Ricci and Oh Sangyoon and Thomas Gruber and Laura Antonelli and Stephen L. Scott},
volume = {11997},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-48340-1},
}