Oscar Antepara
I am a CSE in the Performance and Algorithms Research (PAR) Group in the Computing Sciences Directorate at the Lawrence Berkeley National Laboratory.
My expertise lies in the development, implementation, and analysis of numerical methods using high-performance computing (HPC) systems. Before joining PAR, I was a postdoctoral scholar in CCSE at LBNL where I was working on MFIX-Exa, a new CFD-DEM code developed by the National Energy Technology Laboratory and Lawrence Berkeley National Laboratory as part of the U.S. Department of Energy's Exascale Computing Project, then a postdoctoral scholar in ANAG working on high-order finite volume and embedded boundary methods.
I got my Ph.D. in Engineering from the Technical University of Catalonia-BarcelonaTech (UPC) in 2019, where my research focused on developing adaptive mesh refinement algorithms for turbulent and multiphase flows.
Publications
N. Overton-Katz, X. Gao, S. Guzik, O. Antepara, D. Graves and H. Johansen. 2023. A Fourth-Order Embedded Boundary Finite Volume Method for the Unsteady Stokes Equations with Complex Geometries. SIAM Journal on Scientific Computing. https://doi.org/10.1137/22M1532019
J. Musser, A. Almgren, W. Fullmer, O. Antepara, J. Bell, J. Blaschke, K. Gott, A. Myers, R. Porcu, D. Rangarajan, M. Rosso, W. Zhang, S. Madhava. 2021. MFIX-Exa: A Path Towards Exascale CFD-DEM Simulations. The International Journal of High Performance Computing Applications. https://doi.org/10.1177/10943420211009293
O. Antepara, N. Balcázar, A. Oliva. Tetrahedral adaptive mesh refinement for two-phase flows using conservative level-set method. International Journal for Numerical Methods in Fluids, 2020. https://doi.org/10.1002/fld.4893
N. Balcázar, O. Antepara, J. Rigola, A. Oliva. A level-set model for mass transfer in bubbly flows. International Journal of Heat and Mass Transfer, 2019, 138:335-356. https://doi.org/10.1016/j.ijheatmasstransfer.2019.04.008.
O. Antepara, N. Balcázar, J. Rigola, A. Oliva. Numerical study of rising bubbles with path instability using conservative level-set and adaptive mesh refinement. Computers and Fluids, 2019, 187:83-97. https://doi.org/10.1016/j.compfluid.2019.04.013
F. Favre, O. Antepara, C. Oliet, O. Lehmkuhl, C.D. Pérez-Segarra. An immersed boundary method to conjugate heat transfer problems in complex geometries. Application to an automotive antenna. Applied Thermal Engineering, 2019, 148:907-928. https://doi.org/10.1016/j.applthermaleng.2018.11.099
E. Schillaci, O. Antepara, N. Balcázar, J. Rigola, A. Oliva. A numerical study of liquid atomization regimes by means of conservative level-set simulations. Computers and Fluids, 2019, 179:137-149. https://doi.org/10.1016/j.compfluid.2018.10.017
E. Schillaci, L. Jofre, N. Balcázar, O. Antepara, A. Oliva. A low-dissipation convection scheme for the stable discretization of turbulent interfacial flow. Computers and Fluids, 2017, 153:102-117. https://doi.org/10.1016/j.compfluid.2017.05.009
O. Antepara, O. Lehmkuhl, R. Borrell, J. Chiva, A. Oliva. Parallel adaptive mesh refinement for large-eddy simulations of turbulent flows. Computers and Fluids, 2015, 110:48-61. https://dx.doi.org/10.1016/j.compfluid.2014.09.050
Journal Articles
Mahesh Lakshminarasimhan, Oscar Antepara, Tuowen Zhao, Benjamin Sepanski, Protonu Basu, Hans Johansen, Mary Hall, Samuel Williams, "Bricks: A high-performance portability layer for computations on block-structured grids", The International Journal of High Performance Computing Applications (IJHPCA), August 19, 2024, doi: 10.1177/1094342024126828
Conference Papers
Oscar Antepara, Samuel Williams, Hans Johansen, Mary Hall, "High-Performance, Scalable Geometric Multigrid via Fine-Grain Data Blocking for GPUs", Performance, Portability & Productivity in HPC (P3HPC), November 10, 2024,
Oscar Antepara, Samuel Williams, Max Carlson, Jerry Watkins, "Performance Portable Optimizations of an Ice-sheet Modeling Code on GPU-supercomputers", Performance, Portability & Productivity in HPC (P3HPC), November 2024,
Sterling Smith, Zichuan Anthony Xing, Torrin Bechtel, Severin Denk, Earl DeShazer, Orso Meneghini, Tom Neiser, Laurie Stephey, Oscar Antepara, Christopher Mitchell Clark, Eli Dart, Pengfei Ding, Sean Flanagan, Raffi Nazikian, David Schissel, Christine Simpson, Nicholas Tyler, Thomas D. Uram, Samuel Williams, "Expediting Higher Fidelity Plasma State Reconstructions for the DIII-D National Fusion Facility Using Leadership Class Computing Resources", Extreme-Scale Experiment-in-the-Loop Computing (XLOOP), November 2024,
Mahesh Lakshminarasimhan, Mary Hall, Samuel Williams, Oscar Antepara, "BrickDL: Graph-Level Optimizations for DNNs with Fine-Grained Data Blocking on GPUs", Proceedings of the 53rd International Conference on Parallel Processing (ICPP), August 12, 2024,
- Download File: ICPP24_BrickDL_final-v2.pdf (pdf: 1.7 MB)
Oscar Antepara, Samuel Williams, Scott Kruger, Torrin Bechtel, Joseph McClenaghan, Lang Lao, "Performance-Portable GPU Acceleration of the EFIT Tokamak Plasma Equilibrium Reconstruction Code", Workshop on Accelerator Programming and Directives (WACCPD), November 2023,
- Download File: WACCPD23_EFIT_final.pdf (pdf: 697 KB)
Oscar Antepara, Hans Johansen, Samuel Williams, Tuowen Zhao, Samantha Hirsch, Priya Goyal, Mary Hall, "Performance portability evaluation of blocked stencil computations on GPUs", International Workshop on Performance, Portability & Productivity in HPC (P3HPC), November 2023,
- Download File: P3HPC23_bricks_final-v4.pdf (pdf: 684 KB)