@article{mavriplis2022rans,title={RANS and Hybrid RANS-LES Results for the Fourth High-Lift Prediction Workshop using the NSU3D Solver},author={Mavriplis, Dimitri J and Bogstad, Mark and Kirby, Andrew C},journal={AIAA Aviation 2022 Forum},volume={2022-3810},year={2022},month=jun,publisher={American Institute of Aeronautics and Astronautics},}
Comparison of Propeller-Wing Interaction Simulation using Different Levels of Fidelity
@article{yang2022,title={Comparison of Propeller-Wing Interaction Simulation using Different Levels of Fidelity},author={Yang, Zhi and Kirby, Andrew C and Mavriplis, Dimitri J},journal={AIAA SciTech 2022 Forum},volume={2022-1678},year={2022},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
2020
Gpu-accelerated discontinuous galerkin methods: 30x speedup on 345 billion unknowns
Andrew C Kirby, and Dimitri J Mavriplis
2020 IEEE High Performance Extreme Computing Conference (HPEC) Sep 2020
@article{kirby2020gpu,title={Gpu-accelerated discontinuous galerkin methods: 30x speedup on 345 billion unknowns},author={Kirby, Andrew C and Mavriplis, Dimitri J},journal={2020 IEEE High Performance Extreme Computing Conference (HPEC)},pages={1--7},year={2020},month=sep,publisher={Institute of Electrical and Electronics Engineers},}
Layer-parallel training with gpu concurrency of deep residual neural networks via nonlinear multigrid
Andrew Kirby, Siddharth Samsi, Michael Jones, and 3 more authors
2020 IEEE High Performance Extreme Computing Conference (HPEC) Sep 2020
@article{kirby2020layer,title={Layer-parallel training with gpu concurrency of deep residual neural networks via nonlinear multigrid},author={Kirby, Andrew and Samsi, Siddharth and Jones, Michael and Reuther, Albert and Kepner, Jeremy and Gadepally, Vijay},journal={2020 IEEE High Performance Extreme Computing Conference (HPEC)},pages={1--7},year={2020},month=sep,publisher={Institute of Electrical and Electronics Engineers},}
Benchmarking network fabrics for data distributed training of deep neural networks
Siddharth Samsi, Andrew Prout, Michael Jones, and 8 more authors
2020 IEEE High Performance Extreme Computing Conference (HPEC) Sep 2020
@article{samsi2020benchmarking,title={Benchmarking network fabrics for data distributed training of deep neural networks},author={Samsi, Siddharth and Prout, Andrew and Jones, Michael and Kirby, Andrew and Arcand, Bill and Bergeron, Bill and Bestor, David and Byun, Chansup and Gadepally, Vijay and Houle, Michael and others},journal={2020 IEEE High Performance Extreme Computing Conference (HPEC)},pages={1--6},year={2020},month=sep,publisher={Institute of Electrical and Electronics Engineers},}
Hover predictions using a high-order discontinuous galerkin off-body discretization
Kursat Kara, Michael J Brazell, Andrew C Kirby, and 2 more authors
@inproceedings{kara2020hover,title={Hover predictions using a high-order discontinuous galerkin off-body discretization},author={Kara, Kursat and Brazell, Michael J and Kirby, Andrew C and Mavriplis, Dimitri J and Duque, Earl P},journal={AIAA SciTech 2020 Forum},volume={2020-0771},year={2020},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
2019
Wind farm simulations using an overset hp-adaptive approach with blade-resolved turbine models
Andrew C Kirby, Michael J Brazell, Zhi Yang, and 5 more authors
The International Journal of High Performance Computing Applications Jan 2019
@article{kirby2019wind,title={Wind farm simulations using an overset hp-adaptive approach with blade-resolved turbine models},author={Kirby, Andrew C and Brazell, Michael J and Yang, Zhi and Roy, Rajib and Ahrabi, Behzad R and Stoellinger, Michael K and Sitaraman, Jay and Mavriplis, Dimitri J},journal={The International Journal of High Performance Computing Applications},volume={33},number={5},pages={897--923},year={2019},publisher={SAGE Publications},}
Effects of Blade Load Distributions on Wind Turbine Wake Evolution Using Blade-Resolved Computational Fluid Dynamics Simulations
Anthony P Edmonds, Arash Hassanzadeh, Andrew C Kirby, and 2 more authors
@article{edmonds2019effects,title={Effects of Blade Load Distributions on Wind Turbine Wake Evolution Using Blade-Resolved Computational Fluid Dynamics Simulations},author={Edmonds, Anthony P and Hassanzadeh, Arash and Kirby, Andrew C and Mavriplis, Dimitri J and Naughton, Jonathan W},journal={AIAA SciTech 2019 Forum},volume={2019-2081},year={2019},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
Dynamic SGS modeling in LES using DG with kinetic energy preserving flux schemes
Michael K Stoellinger, Anthony P Edmonds, Andrew C Kirby, and 2 more authors
@article{stoellinger2019dynamic,title={Dynamic SGS modeling in LES using DG with kinetic energy preserving flux schemes},author={Stoellinger, Michael K and Edmonds, Anthony P and Kirby, Andrew C and Mavriplis, Dimitri J and Heinz, Stefan},journal={AIAA SciTech 2019 Forum},volume={2019-1648},year={2019},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
2018
Enabling high-order methods for extreme-scale simulations
@phdthesis{kirby2018enabling,title={Enabling high-order methods for extreme-scale simulations},author={Kirby, Andrew C},school={University of Wyoming},year={2018},publisher={University of Wyoming},journal={{PhD} Dissertation, University of Wyoming},}
Wind turbine wake dynamics analysis using a high-fidelity simulation framework with blade-resolved turbine models
Andrew C Kirby, Arash Hassanzadeh, Dimitri J Mavriplis, and 1 more author
@article{kirby2018wind,title={Wind turbine wake dynamics analysis using a high-fidelity simulation framework with blade-resolved turbine models},author={Kirby, Andrew C and Hassanzadeh, Arash and Mavriplis, Dimitri J and Naughton, Jonathan W},volume={2018-0256},year={2018},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
Visualization and Data Analytics Challenges of Large-Scale High-Fidelity Numerical Simulations of Wind Energy Applications
Andrew C Kirby, Zhi Yang, Dimitri J Mavriplis, and 2 more authors
@article{kirby2018data,title={Visualization and Data Analytics Challenges of Large-Scale High-Fidelity Numerical Simulations of Wind Energy Applications},author={Kirby, Andrew C and Yang, Zhi and Mavriplis, Dimitri J and Duque, Earl P and Whitlock, Brad J},volume={2018-1171},year={2018},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
2017
Wind Farm Simulations Using an Overset hp-Adaptive Approach with Blade-Resolved Turbine Models
Andrew C Kirby, Michael J Brazell, Zhi Yang, and 5 more authors
23rd AIAA Computational Fluid Dynamics Conference Jun 2017
@article{kirby2017,title={Wind Farm Simulations Using an Overset hp-Adaptive Approach with Blade-Resolved Turbine Models},author={Kirby, Andrew C and Brazell, Michael J and Yang, Zhi and Roy, Rajib and Ahrabi, Behzad R. and Mavriplis, Dimitri J. and Sitaraman, Jayanarayanan and Stoellinger, Michael K.},journal={23rd AIAA Computational Fluid Dynamics Conference},volume={2017-3958},year={2017},month=jun,publisher={American Institute of Aeronautics and Astronautics},}
A high-order discontinuous-Galerkin octree-based AMR solver for overset simulations
Michael J Brazell, Andrew C Kirby, and Dimitri Mavriplis
23rd AIAA Computational Fluid Dynamics Conference Jun 2017
@article{brazell2017high,title={A high-order discontinuous-Galerkin octree-based AMR solver for overset simulations},author={Brazell, Michael J and Kirby, Andrew C and Mavriplis, Dimitri},journal={23rd AIAA Computational Fluid Dynamics Conference},volume={2017-3944},year={2017},month=jun,publisher={American Institute of Aeronautics and Astronautics},}
2016
An Overset Adaptive High-Order Approach for Blade-Resolved Wind Energy Applications
Andrew Kirby, M Brazell, J Sitaraman, and 1 more author
@article{kirby2016overset,title={An Overset Adaptive High-Order Approach for Blade-Resolved Wind Energy Applications},author={Kirby, Andrew and Brazell, M and Sitaraman, J and Mavriplis, D},journal={AHS Forum},volume={2016-72},year={2016},month=may,publisher={American Helicopter Society},}
A multi-solver overset mesh Approach for 3D mixed element variable order discretizations
Michael J Brazell, Andrew Kirby, Jayanarayanan Sitaraman, and 1 more author
@article{brazell2016multi,title={A multi-solver overset mesh Approach for 3D mixed element variable order discretizations},author={Brazell, Michael J and Kirby, Andrew and Sitaraman, Jayanarayanan and Mavriplis, Dimitri J},journal={54th AIAA Aerospace Sciences Meeting},volume={2016-2053},year={2016},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
2015
An adaptive explicit 3D discontinuous Galerkin solver for unsteady problems
Andrew C Kirby, Dimitri J Mavriplis, and Andrew M Wissink
22nd AIAA Computational Fluid Dynamics Conference Jun 2015
@article{kirby2015adaptive,title={An adaptive explicit 3D discontinuous Galerkin solver for unsteady problems},author={Kirby, Andrew C and Mavriplis, Dimitri J and Wissink, Andrew M},journal={22nd AIAA Computational Fluid Dynamics Conference},volume={2015-3046},year={2015},month=jun,publisher={American Institute of Aeronautics and Astronautics},}
Using LES in a Discontinuous Galerkin method with constant and dynamic SGS models
Matthew J Brazell, Michael J Brazell, Michael K Stoellinger, and 2 more authors
@article{brazell2015using,title={Using LES in a Discontinuous Galerkin method with constant and dynamic SGS models},author={Brazell, Matthew J and Brazell, Michael J and Stoellinger, Michael K and Mavriplis, Dimitri J and Kirby, Andrew C},journal={53rd AIAA Aerospace Sciences Meeting},volume={2015-0060},year={2015},month=jan,publisher={American Institute of Aeronautics and Astronautics},}
