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Weiqun Zhang

Weiqun Zhang
Computer Systems Engineer
Fax: +1 510 486 6900

Weiqun Zhang is member of the Center for Computational Sciences and Engineering at the Lawrence Berkeley National Laboratory. He is the chief architect of the ECP-funded AMReX software framework for supporting block-structured AMR applications.

Previously he has worked on a number of other subjects, including radiation hydrodynamics, relativistic hydrodynamics/magnetohydrodynamics and gamma-ray burst afterglows.


Journal Articles

H. Klion, R. Jambunathan, M. E. Rowan, E. Yang, D. Willcox, J.-L. Vay, R. Lehe, A. Myers, A. Huebl, W. Zhang, "Particle-in-Cell Simulations of Relativistic Magnetic Reconnection with Advanced Maxwell Solver Algorithms", The Astrophysical Journal, July 13, 2023, 952,

Jean Sexton, Zarija Lukic, Ann Almgren, Chris Daley, Brian Friesen, Andrew Myers, and Weiqun Zhang, "Nyx: A Massively Parallel AMR Code for Computational Cosmology", The Journal Of Open Source Software, July 10, 2021,

Weiqun Zhang, Andrew Myers, Kevin Gott, Ann Almgren and John Bell, "AMReX: Block-Structured Adaptive Mesh Refinement for Multiphysics Applications", The International Journal of High Performance Computing Applications, June 12, 2021,

Jordan Musser, Ann S Almgren, William D Fullmer, Oscar Antepara, John B Bell, Johannes Blaschke, Kevin Gott, Andrew Myers, Roberto Porcu, Deepak Rangarajan, Michele Rosso, Weiqun Zhang, and Madhava Syamlal, "MFIX:Exa: A Path Towards Exascale CFD-DEM Simulations", The International Journal of High Performance Computing Applications, April 16, 2021,

Brandon Runnels, Vinamra Agrawal, Weiqun Zhang, Ann Almgren, "Massively parallel finite difference elasticity using a block-structured adaptive mesh refinement with a geometric multigrid solver", submitted for publication, 2020,

M. Zingale, M.P. Katz, J.B. Bell, M.L. Minion, A.J. Nonaka, W. Zhang, "Improved Coupling of Hydrodynamics and Nuclear Reactions via Spectral Deferred Corrections", August 14, 2019,

Weiqun Zhang, Ann Almgren, Vince Beckner, John Bell, Johannes Blashke, Cy Chan, Marcus Day, Brian Friesen, Kevin Gott, Daniel Graves, Max P. Katz, Andrew Myers, Tan Nguyen, Andrew Nonaka, Michele Rosso, Samuel Williams, Michael Zingale, "AMReX: a framework for block-structured adaptive mesh refinement", Journal of Open Source Software, May 2019, doi: 10.21105/joss.01370

M. Emmett, E. Motheau, W. Zhang, M. Minion, J. B. Bell, "A Fourth-Order Adaptive Mesh Refinement Algorithm for the Multicomponent, Reacting Compressible Navier-Stokes Equations", Combustion Theory and Modeling, 2019,

JL Vay, A Almgren, J Bell, L Ge, DP Grote, M Hogan, O Kononenko, R Lehe, A Myers, C Ng, J Park, R Ryne, O Shapoval, M Thévenet, W Zhang, "Warp-X: A new exascale computing platform for beam–plasma simulations", Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2018, 909:476--479, doi: 10.1016/j.nima.2018.01.035

Weiqun Zhang, Ann Almgren, Marcus Day, Tan Nguyen, John Shalf, Didem Unat, "BoxLib with Tiling: An AMR Software Framework", SIAM Journal on Scientific Computing, 2016,

JC Dolence, A Burrows, W Zhang, "Two-Dimensional core-collapse supernova models with multi-dimensional transport", Astrophysical Journal Letters, 2015, 800, doi: 10.1088/0004-637X/800/1/10

D Unat, C Chan, W Zhang, S Williams, J Bachan, J Bell, J Shalf, "ExaSAT: An exascale co-design tool for performance modeling", International Journal of High Performance Computing Applications, January 2015, 29:209--232, doi: 10.1177/1094342014568690

M Emmett, W Zhang, JB Bell, "High-order algorithms for compressible reacting flow with complex chemistry", Combustion Theory and Modelling, January 2014, 18:361--387, doi: 10.1080/13647830.2014.919410

Antonio Valles, Weiqun Zhang, "Optimizing For Reacting Navier-Stokes Equations", High Performance Parallelism Pearls: Multicore And Many-Core Programming Approaches, edited by James Reinder, Jim Jeffers, 2014,

K. Chen, A. Heger, S. Woosley, A. Almgren, and W. Zhang, "The Most Powerful Stellar Explosion", Bulletin of the American Physical Society, 2013, 58(4),

W Zhang, L Howell, A Almgren, A Burrows, J Dolence, J Bell, "Castro: A new compressible astrophysical solver. III. Multigroup radiation hydrodynamics", Astrophysical Journal, Supplement Series, 2013, 204, doi: 10.1088/0067-0049/204/1/7

W Zhang, L Howell, A Almgren, A Burrows, J Bell, "Castro: A new compressible astrophysical solver. II. Gray radiation hydrodynamics", Astrophysical Journal, Supplement Series, 2011, 196, doi: 10.1088/0067-0049/196/2/20

Alan Calder, Platon I. Karpov, Maria Barrios Sazo, Michael Zingale, Weiqun Zhang, "Toward simulating Black Widow binaries with CASTRO", Journal of Computational Science Education Volume 8, Issue 3, pp. 25-29, December 31, 1969,

Conference Papers

M. Zingale, K. Eiden, Y. Cavecchi, A. Harpole, J. B. Bell, M. Chang, I. Hawke, M. P. Katz, C.M. Malone, A. J. Nonaka, D. E. Willcox, W. Zhang, "Toward resolved simulations of burning fronts in thermonuclear X-ray bursts", Journal of Physics: Conference Series, 2019, 1225,

M. Zingale, A. S. Almgren, M. Barrios Sazo, J. B. Bell, K. Eiden, A. Harpole, M. P. Katz, A. J. Nonaka, D. E. Willcox, and W. Zhang, "The Castro AMR Simulation Code: Current and Future Developments", Proceedings of Astronum 2019, July 1, 2019,

M Zingale, AS Almgren, MG Barrios Sazo, VE Beckner, JB Bell, B Friesen, AM Jacobs, MP Katz, CM Malone, AJ Nonaka, DE Willcox, W Zhang, "Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite", Journal of Physics: Conference Series, 2018, 1031, doi: 10.1088/1742-6596/1031/1/012024

MN Farooqi, D Unat, T Nguyen, W Zhang, A Almgren, J Shalf, "Nonintrusive AMR asynchrony for communication optimization", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), January 1, 2017, 10417 LN:682--694, doi: 10.1007/978-3-319-64203-1_49

B. Bastem, D. Unat, W. Zhang, A. Almgren, J. Shalf, "Overlapping Data Transfers with Computation on GPU with Tiles", 2017 46th International Conference on Parallel Processing (ICPP), pp. 171-180, 2017,

T Nguyen, D Unat, W Zhang, A Almgren, N Farooqi, J Shalf, "Perilla: Metadata-Based Optimizations of an Asynchronous Runtime for Adaptive Mesh Refinement", International Conference for High Performance Computing, Networking, Storage and Analysis, SC, January 1, 2017, 945--956, doi: 10.1109/SC.2016.80

H Shan, S Williams, Y Zheng, W Zhang, B Wang, S Ethier, Z Zhao, IEEE, "Experiences of Applying One-Sided Communication to Nearest-Neighbor Communication", PROCEEDINGS OF PAW 2016: 1ST PGAS APPLICATIONS WORKSHOP (PAW), January 2016, 17--24, doi: 10.1109/PAW.2016.008

Cy Chan, Didem Unat, Michael Lijewski, Weiqun Zhang, John Bell, John Shalf, "Software Design Space Exploration for Exascale Combustion Co-Design", International Supercomputing Conference (ISC), Leipzig, Germany, June 16, 2013,

D Unat, CP Chan, W Zhang, J Bell, J Shalf, "Tiling as a Durable Abstraction for Parallelism and Data Locality", WOLFHPC 2013 - SC13 Workshop on Domain-Specific Languages and High-Level Frameworks for High-Performance Computing, 2013,


Revathi Jambunathan, Andrew Myers, Donald Willcox, Jean-Luc Vay, Ann Almgren, Diana Amorim, John Bell, Kevin Gott, Axel Huebl, Remi Lehe, Micahel Rowan, Olga Shapoval, Maxence Thevenet, Weiqun Zhang, "WarpX: Towards exascale modeling of pulsar magnetospheres", Connecting Micro and Macro Scales: Acceleration, Reconnection, and Dissipation in Astrophysical Plasmas, September 9, 2019,


E Lovegrove, SE Woosley, W Zhang, Very Low-energy Supernovae: Light Curves and Spectra of Shock Breakout, Astrophysical Journal, 2017, doi: 10.3847/1538-4357/aa7b7d