Ann S. Almgren

According to our database, Ann S. Almgren authored at least 45 papers between 1996 and 2024.

Collaborative distances:

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

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

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

A consistent adaptive level set framework for incompressible two-phase flows with high density ratios and high Reynolds numbers.

Yadong Zeng, Han Liu, Qiang Gao, Ann S. Almgren, Amneet Pal Singh Bhalla, Lian Shen

J. Comput. Phys., April, 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

A cast of thousands: How the IDEAS Productivity project has advanced software productivity and sustainability.

Lois Curfman McInnes, Michael A. Heroux, David E. Bernholdt, Anshu Dubey, Elsa Gonsiorowski, Rinku Gupta, Osni Marques, J. David Moulton, Hai Ah Nam, Boyana Norris, Elaine M. Raybourn, James M. Willenbring, Ann S. Almgren, Ross Bartlett, Kita Cranfill, Stephen Fickas, Don Frederick, William F. Godoy, Patricia Grubel, Rebecca Hartman-Baker, Axel Huebl, Rose Lynch, Addi Malviya-Thakur, Reed Milewicz, Mark C. Miller, Miranda Mundt, Erik Palmer, Suzanne Parete-Koon, Megan Phinney, Katherine Riley, David M. Rogers, Benjamin H. Sims, Deborah Stevens, Gregory R. Watson

CoRR, 2023

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

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

In situ feature analysis for large-scale multiphase flow simulations.

Soumya Dutta, Terece L. Turton, David Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren

J. Comput. Sci., 2022

A coupled discontinuous Galerkin-Finite Volume framework for solving gas dynamics over embedded geometries.

Vincenzo Gulizzi, Ann S. Almgren, John B. Bell

J. Comput. Phys., 2022

A weighted state redistribution algorithm for embedded boundary grids.

Andrew Giuliani, Ann S. Almgren, John B. Bell, Marsha J. Berger, Marc T. Henry de Frahan, Deepak Rangarajan

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

In Situ Data Summaries for Flexible Feature Analysis in Large-Scale Multiphase Flow Simulations.

Soumya Dutta, Terece L. Turton, David H. Rogers, Jordan M. Musser, James P. Ahrens, Ann S. Almgren

CoRR, 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

Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case.

Ayan Biswas, James P. Ahrens, Soumya Dutta, Jordan M. Musser, Ann S. Almgren, Terece L. Turton

Comput. Sci. Eng., 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

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

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver.

Duoming Fan, Andrew Nonaka, Ann S. Almgren, Donald E. Willcox, Alice Harpole, 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

A hybrid adaptive low-Mach number/compressible method: Euler equations.

Emmanuel Motheau, Max Duarte, Ann S. Almgren, John B. Bell

J. Comput. Phys., 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

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

Topology-Aware Performance Optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale.

Cy P. Chan, John D. Bachan, Joseph P. Kenny, Jeremiah J. Wilke, Vincent E. Beckner, Ann S. Almgren, John B. Bell

Proceedings of the First International Workshop on Communication Optimizations in HPC, 2016

2015

Influence of adaptive mesh refinement and the hydro solver on shear-induced mass stripping in a minor-merger scenario.

Wolfram Schmidt, Jochen Schulz, Luigi Iapichino, Franco Vazza, Ann S. Almgren

Astron. Comput., 2015

2014

A survey of high level frameworks in block-structured adaptive mesh refinement packages.

Anshu Dubey, Ann S. Almgren, John B. Bell, Martin Berzins, Steven R. Brandt, Greg Bryan, Phillip Colella, Daniel T. Graves, Michael Lijewski, Frank Löffler, Brian W. O'Shea, Erik Schnetter, Brian van Straalen, Klaus Weide

J. Parallel Distributed Comput., 2014

s-Step Krylov Subspace Methods as Bottom Solvers for Geometric Multigrid.

Samuel Williams, Mike Lijewski, Ann S. Almgren, Brian van Straalen, Erin C. Carson, Nicholas Knight, James Demmel

Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014

2013

On the Use of Higher-Order Projection Methods for Incompressible Turbulent Flow.

Ann S. Almgren, A. J. Aspden, John B. Bell, Michael L. Minion

SIAM J. Sci. Comput., 2013

Numerical approaches for multidimensional simulations of stellar explosions.

Ke-Jung Chen, Alexander Heger, Ann S. Almgren

Astron. Comput., 2013

2012

Optimization of geometric multigrid for emerging multi- and manycore processors.

Samuel Williams, Dhiraj D. Kalamkar, Amik Singh, Anand M. Deshpande, Brian van Straalen, Mikhail Smelyanskiy, Ann S. Almgren, Pradeep Dubey, John Shalf, Leonid Oliker

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Low Mach Number Models in Computational Astrophysics.

Ann S. Almgren

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

2011

A Three-Dimensional, Unsplit Godunov Method for Scalar Conservation Laws.

Andy Nonaka, Sandra May, Ann S. Almgren, John B. Bell

SIAM J. Sci. Comput., 2011

Multidimensional simulations of pair-instability supernovae.

Ke-Jung Chen, Alexander Heger, Ann S. Almgren

Comput. Phys. Commun., 2011

The potential role of spatial dimension in the neutrino-driving mechanism of core-collapse supernova explosions.

Adam Burrows, Jason Nordhaus, Ann S. Almgren, John B. Bell

Comput. Phys. Commun., 2011

2009

A New Low Mach Number Approach in Astrophysics.

Ann S. Almgren, John B. Bell, Andy Nonaka, Michael Zingale

Comput. Sci. Eng., 2009

2000

Approximate Projection Methods: Part I. Inviscid Analysis.

Ann S. Almgren, John B. Bell, William Y. Crutchfield

SIAM J. Sci. Comput., 2000

1997

A Cartesian Grid Projection Method for the Incompressible Euler Equations in Complex Geometries.

Ann S. Almgren, John B. Bell, Phillip Colella, Tyler Marthaler

SIAM J. Sci. Comput., 1997

1996

A Numerical Method for the Incompressible Navier-Stokes Equations Based on an Approximate Projection.

Ann S. Almgren, John B. Bell, William G. Szymczak

SIAM J. Sci. Comput., 1996