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Conference and Workshop Papers
- 2022
[c6]Rick Archibald
, Mark R. Cianciosa, Cornwall Lau:
Improving Predictions Under Uncertainty of Material Plasma Device Operations. IEEE Big Data 2022: 3402-3407- [c5]Mark R. Cianciosa, Richard Archibald, Wael R. Elwasif, Ana Gainaru, Jin Myung Park, Ross Whitfield:
Adaptive Generation of Training Data for ML Reduced Model Creation. IEEE Big Data 2022: 3408-3416 - 2020
- [c4]Wael R. Elwasif, Ross Whitfield, Jin Myung Park, Mark R. Cianciosa:
Containers for Massive Ensemble of I/O Bound Hierarchical Coupled Simulations. CANOPIE-HPC@SC 2020: 26-34 - 2019
- [c3]Wael R. Elwasif, Ane Lasa, Philip C. Roth, Timothy Reed Younkin, Mark R. Cianciosa:
Nested Workflows for Loosely Coupled HPC Simulations. AICCSA 2019: 1-8 - 2017
- [c2]Sudip K. Seal, Mark R. Cianciosa, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Ezekial A. Unterberg:
Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices. ICPP 2017: 282-291 - 2016
- [c1]Sudip K. Seal, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Mark R. Cianciosa, Ezekial A. Unterberg:
PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code. ICPP 2016: 618-627
Informal and Other Publications
- 2019
- [i1]David E. Bernholdt, Mark R. Cianciosa, Clement Etienam, David L. Green, Kody J. H. Law, Jin Myung Park:
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions. CoRR abs/1905.06220 (2019)
Coauthor Index
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