Weiqun Zhang

According to our database, Weiqun Zhang authored at least 35 papers between 2007 and 2024.

Collaborative distances:

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

2024

A new re-redistribution scheme for weighted state redistribution with adaptive mesh refinement.

Isabel Barrio Sanchez, Ann S. Almgren, John B. Bell, Marc T. Henry de Frahan, Weiqun Zhang

J. Comput. Phys., 2024

AMReX and pyAMReX: Looking beyond the exascale computing project.

Andrew Myers, Weiqun Zhang, Ann S. Almgren, Thierry Antoun, John B. Bell, Axel Huebl, Alexander Sinn

Int. J. High Perform. Comput. Appl., 2024

AMReX and pyAMReX: Looking Beyond ECP.

Andrew Myers, Weiqun Zhang, Ann S. Almgren, Thierry Antoun, John B. Bell, Axel Huebl, Alexander Sinn

CoRR, 2024

The Pele Simulation Suite for Reacting Flows at Exascale.

Marc T. Henry de Frahan, Lucas Esclapez, Jon S. Rood, Nicholas T. Wimer, Paul Mullowney, Bruce A. Perry, Landon Owen, Hariswaran Sitaraman, Shashank Yellapantula, Malik Hassanaly, Mohammad J. Rahimi, Michael James Martin, Olga A. Doronina, Sreejith N. A., Martin Rieth, Wenjun Ge, Ramanan Sankaran, Ann S. Almgren, Weiqun Zhang, John B. Bell, Ray W. Grout, Marc Day, Jacqueline H. Chen

Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024

2023

PeleLMeX: an AMR Low Mach Number Reactive Flow Simulation Code without level sub-cycling.

Lucas Esclapez, Marc Day, John Bell, Anne Felden, Candace Gilet, Ray W. Grout, Marc T. Henry de Frahan, Emmanuel Motheau, Andrew Nonaka, Landon Owen, Bruce A. Perry, Jon S. Rood, Nicolas Wimer, Weiqun Zhang

J. Open Source Softw., November, 2023

ERF: Energy Research and Forecasting.

Ann S. Almgren, Aaron M. Lattanzi, Riyaz Haque, Pankaj Jha, Branko Kosovic, Jeffrey D. Mirocha, Bruce A. Perry, Eliot W. Quon, Michael Sanders, David Wiersema, Donald E. Willcox, Xingqiu Yuan, Weiqun Zhang

J. Open Source Softw., July, 2023

PeleC: An adaptive mesh refinement solver for compressible reacting flows.

Marc T. Henry de Frahan, Jon S. Rood, Marcus S. Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A. Perry, Ray W. Grout, Ann S. Almgren, Weiqun Zhang, John B. Bell, Jacqueline H. Chen

Int. J. High Perform. Comput. Appl., March, 2023

Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms.

Hannah Klion, Revathi Jambunathan, Michael E. Rowan, Eloise Yang, Donald E. Willcox, Jean-Luc Vay, Rémi Lehe, Andrew Myers, Axel Huebl, Weiqun Zhang

CoRR, 2023

From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale.

Axel Huebl, Rémi Lehe, Edoardo Zoni, Olga Shapoval, Ryan T. Sandberg, Marco Garten, Arianna Formenti, Revathi Jambunathan, Prabhat Kumar, Kevin Gott, Andrew Myers, Weiqun Zhang, Ann S. Almgren, Chad E. Mitchell, Ji Qiang, David P. Grote, Alexander Sinn, Severin Diederichs, Maxence Thévenet, Luca Fedeli, Thomas Clark, Neïl Zaïm, Henri Vincenti, Jean-Luc Vay

CoRR, 2023

2022

A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework.

Mahesh Natarajan, Ray W. Grout, Weiqun Zhang, Marcus S. Day

J. Comput. Phys., 2022

MFIX-Exa: A path toward exascale CFD-DEM simulations.

Jordan M. Musser, Ann S. Almgren, William D. Fullmer, Oscar Antepara, John B. Bell, Johannes P. Blaschke, Kevin Gott, Andrew Myers, Roberto Porcù, Deepak Rangarajan, Michele Rosso, Weiqun Zhang, Madhava Syamlal

Int. J. High Perform. Comput. Appl., 2022

HiPACE++: A portable, 3D quasi-static particle-in-cell code.

Severin Diederichs, Carlo Benedetti, Axel Huebl, Rémi Lehe, Andrew Myers, Alexander Sinn, Jean-Luc Vay, Weiqun Zhang, Maxence Thévenet

Comput. Phys. Commun., 2022

Pushing the Frontier in the Design of Laser-Based Electron Accelerators with Groundbreaking Mesh-Refined Particle-In-Cell Simulations on Exascale-Class Supercomputers.

Luca Fedeli, Axel Huebl, France Boillod-Cerneux, Thomas Clark, Kevin Gott, Conrad Hillairet, Stephan Jaure, Adrien Leblanc, Rémi Lehe, Andrew Myers, Christelle Piechurski, Mitsuhisa Sato, Neïl Zaïm, Weiqun Zhang, Jean-Luc Vay, Henri Vincenti

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

2021

Porting WarpX to GPU-accelerated platforms.

Andrew Myers, Ann S. Almgren, Ligia Diana Amorim, John B. Bell, Luca Fedeli, Lixin Ge, Kevin Gott, David P. Grote, Mark J. Hogan, Axel Huebl, Revathi Jambunathan, Rémi Lehe, Cho-Kuen Ng, Michael E. Rowan, Olga Shapoval, Maxence Thévenet, Jean-Luc Vay, Henri Vincenti, Eloise Yang, Neïl Zaïm, Weiqun Zhang, Yinjian Zhao, Edoardo Zoni

Parallel Comput., 2021

Nyx: A Massively Parallel AMR Code for Computational Cosmology.

Jean M. Sexton, Zarija Lukic, Ann S. Almgren, Christopher S. Daley, Brian Friesen, Andrew Myers, Weiqun Zhang

J. Open Source Softw., 2021

Massively parallel finite difference elasticity using block-structured adaptive mesh refinement with a geometric multigrid solver.

Brandon Runnels, Vinamra Agrawal, Weiqun Zhang, Ann S. Almgren

J. Comput. Phys., 2021

AMReX: Block-structured adaptive mesh refinement for multiphysics applications.

Weiqun Zhang, Andrew Myers, Kevin Gott, Ann S. Almgren, John B. Bell

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

Experiences Supporting DPC++ in AMReX.

Sravani Konda, Dunni Aribuki, Weiqun Zhang, Kevin Gott, Christopher Lishka

Proceedings of the IWOCL'21: International Workshop on OpenCL, Munich Germany, April, 2021, 2021

2020

CASTRO: A Massively Parallel Compressible Astrophysics Simulation Code.

Ann S. Almgren, Maria Sazo, John B. Bell, Alice Harpole, Maximilian Katz, Jean M. Sexton, Donald E. Willcox, Weiqun Zhang, Michael Zingale

J. Open Source Softw., 2020

Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme.

Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

Complex., 2020

Preparing nuclear astrophysics for exascale.

Max P. Katz, Ann S. Almgren, Maria Barrios Sazo, Kiran Eiden, Kevin Gott, Alice Harpole, Jean M. Sexton, Donald E. Willcox, Weiqun Zhang, Michael Zingale

Proceedings of the International Conference for High Performance Computing, 2020

2019

AMReX: a framework for block-structured adaptive mesh refinement.

Weiqun Zhang, Ann S. Almgren, Vincent E. Beckner, John B. Bell, Johannes P. Blaschke, Cy P. Chan, Marcus Day, Brian Friesen, Kevin Gott, Daniel T. Graves, Maximilian Katz, Andrew Myers, Tan Nguyen, Andrew Nonaka, Michele Rosso, Samuel Williams, Michael Zingale

J. Open Source Softw., 2019

Asynchronous AMR on Multi-GPUs.

Muhammed Nufail Farooqi, Tan Nguyen, Weiqun Zhang, Ann S. Almgren, John Shalf, Didem Unat

Proceedings of the High Performance Computing, 2019

2018

Phase asynchronous AMR execution for productive and performant astrophysical flows.

Muhammed Nufail Farooqi, Tan Nguyen, Weiqun Zhang, Ann S. Almgren, John Shalf, Didem Unat

Proceedings of the International Conference for High Performance Computing, 2018

2017

Overlapping Data Transfers with Computation on GPU with Tiles.

Burak Bastem, Didem Unat, Weiqun Zhang, Ann S. Almgren, John Shalf

Proceedings of the 46th International Conference on Parallel Processing, 2017

Nonintrusive AMR Asynchrony for Communication Optimization.

Muhammed Nufail Farooqi, Didem Unat, Tan Nguyen, Weiqun Zhang, Ann S. Almgren, John Shalf

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

2016

BoxLib with Tiling: An Adaptive Mesh Refinement Software Framework.

Weiqun Zhang, Ann S. Almgren, Marcus Day, Tan Nguyen, John Shalf, Didem Unat

SIAM J. Sci. Comput., 2016

BoxLib with Tiling: An AMR Software Framework.

Weiqun Zhang, Ann S. Almgren, Marcus Day, Tan Nguyen, John Shalf, Didem Unat

CoRR, 2016

TiDA: High-Level Programming Abstractions for Data Locality Management.

Didem Unat, Tan Nguyen, Weiqun Zhang, Muhammed Nufail Farooqi, Burak Bastem, George Michelogiannakis, Ann S. Almgren, John Shalf

Proceedings of the High Performance Computing - 31st International Conference, 2016

Experiences of Applying One-Sided Communication to Nearest-Neighbor Communication.

Hongzhang Shan, Samuel Williams, Yili Zheng, Weiqun Zhang, Bei Wang, Stéphane Ethier, Zhengji Zhao

Proceedings of the 2016 PGAS Applications Workshop, 2016

Perilla: metadata-based optimizations of an asynchronous runtime for adaptive mesh refinement.

Tan Nguyen, Didem Unat, Weiqun Zhang, Ann S. Almgren, Muhammed Nufail Farooqi, John Shalf

Proceedings of the International Conference for High Performance Computing, 2016

2015

ExaSAT: An exascale co-design tool for performance modeling.

Didem Unat, Cy P. Chan, Weiqun Zhang, Samuel Williams, John Bachan, John B. Bell, John Shalf

Int. J. High Perform. Comput. Appl., 2015

2013

Software Design Space Exploration for Exascale Combustion Co-design.

Cy P. Chan, Didem Unat, Michael Lijewski, Weiqun Zhang, John B. Bell, John Shalf

Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013

2008

Numerical solutions of linear and nonlinear singular perturbation problems.

Tzu-Chu Lin, David H. Schultz, Weiqun Zhang

Comput. Math. Appl., 2008

2007

Research and Implement of Classification Algorithm on Web Text Mining.

Shiqun Yin, Gang Wang, Yuhui Qiu, Weiqun Zhang

Proceedings of the Third International Conference on Semantics, 2007