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Gabriele Merlo
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2020 – today
- 2022
- [j3]Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [i2]Ionut-Gabriel Farcas, Gabriele Merlo, Frank Jenko:
A general framework for quantifying uncertainty at scale and its application to fusion research. CoRR abs/2202.03999 (2022) - 2020
- [j2]Paul Crandall, Denis Jarema, Hauke Doerk, Qingjiang Pan, Gabriele Merlo, Tobias Görler, Alejandro Bañón Navarro, Daniel Told, Maurice Maurer, Frank Jenko:
Multi-species collisions for delta-f gyrokinetic simulations: Implementation and verification with GENE. Comput. Phys. Commun. 255: 107360 (2020) - [j1]Maurice Maurer, Alejandro Bañón Navarro, Tilman Dannert, Marco Restelli, Florian Hindenlang, Tobias Görler, Daniel Told, Denis Jarema, Gabriele Merlo, Frank Jenko:
GENE-3D: A global gyrokinetic turbulence code for stellarators. J. Comput. Phys. 420: 109694 (2020)
2010 – 2019
- 2019
- [c2]Matthew Wolf, Julien Dominski, Gabriele Merlo, Jong Choi, Greg Eisenhauer, Stéphane Ethier, Kevin A. Huck, Scott Klasky, Jeremy Logan, Allen D. Malony, Chad Wood:
Scalable Performance Awareness for In Situ Scientific Applications. eScience 2019: 266-276 - 2018
- [c1]Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [i1]Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney:
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. CoRR abs/1809.10799 (2018)
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