Yu-Hsiang Lan

According to our database, Yu-Hsiang Lan authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

3D CAVLA: Leveraging Depth and 3D Context to Generalize Vision Language Action Models for Unseen Tasks.

Vineet Bhat, Yu-Hsiang Lan, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami

CoRR, May, 2025

Gateformer: Advancing Multivariate Time Series Forecasting through Temporal and Variate-Wise Attention with Gated Representations.

Yu-Hsiang Lan, Eric K. Oermann

CoRR, May, 2025

Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow.

Mathis Bode, Damian Alvarez, Paul F. Fischer, Christos E. Frouzakis, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Victor A. Mateevitsi, Misun Min, Michael E. Papka, Silvio Rizzi, Roshan J. Samuel, Jörg Schumacher

CoRR, January, 2025

Free Lunch in In Situ Visualization: Leveraging Idle CPU Resources to Mitigate GPU Contention.

Victor A. Mateevitsi, Andres Sewell, Jens Henrik Göbbert, Mathis Bode, Paul F. Fischer, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides, Michael E. Papka

Proceedings of the 15th IEEE Symposium on Large Data Analysis and Visualization, 2025

2024

Exascale Simulations of Fusion and Fission Systems.

Misun Min, Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Tri Nguyen, Haomin Yuan, Patrick C. Shriwise, Stefan Kerkemeier, Andrew Davis, Aleksandr Dubas, Rupert Eardly, Rob J. Akers, Thilina Rathnayake, Tim Warburton

CoRR, 2024

Visuals on the House: Optimizing HPC Workflows with No-Cost CPU Visualization.

Victor A. Mateevitsi, Andres Sewell, Mathis Bode, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Michael E. Papka, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides

Proceedings of the 14th IEEE Symposium on Large Data Analysis and Visualization, 2024

2023

Software and Analysis for paper: Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI.

Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen

Dataset, September, 2023

Nek5000/RS Performance on Advanced GPU Architectures.

Misun Min, Yu-Hsiang Lan, Paul F. Fischer, Thilina Rathnayake, John Holmen

CoRR, 2023

Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs.

Elia Merzari, Steven P. Hamilton, Thomas M. Evans, Misun Min, Paul F. Fischer, Stefan Kerkemeier, Jun Fang, Paul K. Romano, Yu-Hsiang Lan, Malachi Phillips, Elliott Biondo, Katherine Royston, Tim Warburton, Noel Chalmers, Thilina Rathnayake

Proceedings of the International Conference for High Performance Computing, 2023

Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI.

Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

NekRS, a GPU-accelerated spectral element Navier-Stokes solver.

Paul F. Fischer, Stefan Kerkemeier, Misun Min, Yu-Hsiang Lan, Malachi Phillips, Thilina Rathnayake, Elia Merzari, Ananias Tomboulides, Ali Karakus, Noel Chalmers, Tim Warburton

Parallel Comput., 2022

Optimization of Full-Core Reactor Simulations on Summit.

Misun Min, Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Stefan Kerkemeier, Malachi Phillips, Thilina Rathnayake, April Novak, Derek Gaston, Noel Chalmers, Tim Warburton

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

GPU algorithms for Efficient Exascale Discretizations.

Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Ryan Bleile, Jed Brown, Jean-Sylvain Camier, Robert Carson, Noel Chalmers, Veselin Dobrev, Yohann Dudouit, Paul F. Fischer, Ali Karakus, Stefan Kerkemeier, Tzanio V. Kolev, Yu-Hsiang Lan, Elia Merzari, Misun Min, Malachi Phillips, Thilina Rathnayake, Robert N. Rieben, Thomas Stitt, Ananias Tomboulides, Stanimire Tomov, Vladimir Z. Tomov, Arturo Vargas, Tim Warburton, Kenneth Weiss

Parallel Comput., 2021

Efficient exascale discretizations: High-order finite element methods.

Tzanio V. Kolev, Paul F. Fischer, Misun Min, Jack J. Dongarra, Jed Brown, Veselin Dobrev, Tim Warburton, Stanimire Tomov, Mark S. Shephard, Ahmad Abdelfattah, Valeria Barra, Natalie Beams, Jean-Sylvain Camier, Noel Chalmers, Yohann Dudouit, Ali Karakus, Ian Karlin, Stefan Kerkemeier, Yu-Hsiang Lan, David S. Medina, Elia Merzari, Aleksandr Obabko, Will Pazner, Thilina Rathnayake, Cameron W. Smith, Lukas Spies, Kasia Swirydowicz, Jeremy L. Thompson, Ananias Tomboulides, Vladimir Z. Tomov

Int. J. High Perform. Comput. Appl., 2021

All-Hex Meshing Strategies For Densely Packed Spheres.

Yu-Hsiang Lan, Paul F. Fischer, Elia Merzari, Misun Min

CoRR, 2021