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Lorena A. Barba

Professor (Mechanical engineering not elsewhere classified)

Washington, DC

Lorena Barba is a Professor of Engineering and Applied Science at the George Washington University. Previously, she held faculty positions in Mechanical Engineering at Boston University and in Applied Mathematics at University of Bristol, UK. She has a PhD in Aeronautics from the California Institute of Technology (2004). Her research interests include computational fluid dynamics, especially immersed boundary methods and particle methods for fluid simulation; fundamental and applied aspects of fluid dynamics, especially flows dominated by vorticity dynamics; the fast multipole method and applications; and scientific computing on GPU architecture. Prof Barba is an Amelia Earhart Fellow of the Zonta Foundation (1999), a recipient of the EPSRC First Grant program (UK, 2007), an NVIDIA Academic Partner award recipient (2011), a recipient of the NSF Faculty Early CAREER award, is an NVIDIA CUDA Fellow and a leader in computational science and engineering internationally.

Publications

  • Petascale turbulence simulation using a highly parallel fast multipole method on GPUs DOI: 10.1016/j.cpc.2012.09.011
  • Hierarchical N-body Simulations with Autotuning for Heterogeneous Systems DOI: 10.1109/MCSE.2012.1
  • A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems DOI: 10.1177/1094342011429952
  • FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method DOI: 10.1016/j.compfluid.2012.08.002
  • Hierarchical N-body simulations with autotuning for heterogeneous systems DOI: 10.1109/MCSE.2012.1
  • Scalable fast multipole methods for vortex element methods DOI: 10.1109/SC.Companion.2012.221
  • Biomolecular electrostatics using a fast multipole BEM on up to 512 gpus and a billion unknowns DOI: 10.1016/j.cpc.2011.02.013
  • Comparing the treecode with FMM on GPUs for vortex particle simulations of a leapfrogging vortex ring DOI: 10.1016/j.compfluid.2010.11.029
  • How to obtain efficient GPU kernels: An illustration using FMM & FGT algorithms DOI: 10.1016/j.cpc.2011.05.002
  • PetFMM-A dynamically load-balancing parallel fast multipole library DOI: 10.1002/nme.2972
  • Treecode and Fast Multipole Method for N-Body Simulation with CUDA DOI: 10.1016/B978-0-12-384988-5.00009-7
  • Fast multipole method for particle interactions: An open source parallel library component DOI: 10.1007/978-3-642-14438-7_30
  • Global field interpolation for particle methods DOI: 10.1016/j.jcp.2009.10.031
  • PetRBF - A parallel O(N) algorithm for radial basis function interpolation with Gaussians DOI: 10.1016/j.cma.2010.02.008
  • Characterization of the accuracy of the fast multipole method in particle simulations DOI: 10.1002/nme.2611
  • Fast radial basis function interpolation with Gaussians by localization and iteration DOI: 10.1016/j.jcp.2009.03.007
  • Panel-free boundary conditions for viscous vortex methods
  • Lagrangian Flow Geometry of Tripolar Vortex DOI: 10.1007/978-1-4020-6744-0_21
  • Lagrangian flow geometry of tripolar vortex
  • Emergence and evolution of tripole vortices from net-circulation initial conditions DOI: 10.1063/1.2409734
  • Discussion: "Three-dimensional vortex method for gas-particle two-phase compound round jet" (Uchiyama, T., and Fukase, A., 2005, ASME J. fluids Eng., 127, pp. 32-40) DOI: 10.1115/1.2175173
  • Nonshielded multipolar vortices at high Reynolds number DOI: 10.1103/PhysRevE.73.065303
  • Advances in viscous vortex methods - Meshless spatial adaption based on radial basis function interpolation DOI: 10.1002/fld.811
  • Vortex method with meshless spatial adaption for accurate simulation of viscous, unsteady vortical flows DOI: 10.1002/fld.842
  • Probing protein orientation near charged nanosurfaces for simulation-assisted biosensor design
  • Guest editorial: Flipped classrooms in stem
  • Lift and wakes of flying snakes
  • The Python/Jupyter ecosystem: today's problem-solving environment for computational science
  • PyGBe-LSPR: Python and GPU Boundary-integral solver for electrostatics
  • PetIBM: toolbox and applications of the immersed-boundary method on distributed-memory architectures
  • Treecode and Fast Multipole Method for N-Body Simulation with CUDA
  • Hierarchical N-body Simulations with Autotuning for Heterogeneous Systems
  • Guidelines and Workflow for Articles Submitted to CiSE Departments
  • Inexact GMRES iterations and relaxation strategies with fast-multipole boundary element method
  • A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers
  • Petascale turbulence simulation using a highly parallel fast multipole method on GPUs
  • The principles of tomorrow's university [version 1; referees: awaiting peer review]
  • Scientific Computing With Python on High-Performance Heterogeneous Systems
  • The Path to Frictionless Reproducibility Is Still Under Construction
  • Overview: US Policy on Open Access and Open Data
  • Poisson–Boltzmann model for protein–surface electrostatic interactions and grid-convergence study using the PyGBe code
  • A tuned and scalable fast multipole method as a preeminent algorithm for exascale systems
  • FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method
  • Scalable fast multipole methods for vortex element methods
  • Biomolecular electrostatics using a fast multipole BEM on up to 512 gpus and a billion unknowns
  • Comparing the treecode with FMM on GPUs for vortex particle simulations of a leapfrogging vortex ring
  • How to obtain efficient GPU kernels: An illustration using FMM & FGT algorithms
  • PetFMM-A dynamically load-balancing parallel fast multipole library
  • Fast multipole method for particle interactions: An open source parallel library component
  • Global field interpolation for particle methods
  • PetRBF - A parallel O(N) algorithm for radial basis function interpolation with Gaussians
  • Characterization of the accuracy of the fast multipole method in particle simulations
  • Policy recommendations to ensure that research software is openly accessible and reusable
  • PyExaFMM: An Exercise in Designing High-Performance Software With Python and Numba
  • Reproducible validation and replication studies in nanoscale physics
  • [Re] Three-dimensional wake topology and propulsive performance of low-aspect-ratio pitching-rolling plates
  • Sustainable computational science: the ReScience initiative
  • Finding the Force—Consistent Particle Seeding for Satellite Aerodynamics
  • Scalable fast multipole accelerated vortex methods
  • The hard road to reproducibility
  • PyGBe: Python, GPUs and Boundary elements for biomolecular electrostatics
  • cuIBM: a GPU-based immersed boundary method code
  • AmgXWrapper: An interface between PETSc and the NVIDIA AmgX library
  • CFD Python: the 12 steps to Navier-Stokes equations
  • Giving software its due through community-driven review and publication
  • Aero Python: classical aerodynamics of potential flow using Python
  • Computational nanoplasmonics in the quasistatic limit for biosensing applications
  • Review for: Exemplifying Computational Thinking Scenarios in the Age of COVID-19: Examining the Pandemic’s Effects in a Project-Based MOOC
  • Editorial: Computational Science and Engineering in 2020
  • Trustworthy computational evidence through transparency and reproducibility
  • Trustworthy Computational Evidence Through Transparency and Reproducibility
  • ExaFMM: a high-performance fast multipole method library with C++ and Python interfaces
  • geoclaw-landspill: an oil land-spill and overland flow simulator for pipeline rupture events
  • The Python/Jupyter Ecosystem: Today’s Problem-Solving Environment for Computational Science
  • Spectral-like accuracy in space of a meshless vortex method
  • Fast multipole method upward and downward sweeps
  • Flying snake wake visualizations with cuIBM
  • Weak scaling of parallel FMM vs. FFT up to 4096 processes
  • Lagrangian Flow Geometry of Tripolar Vortex
  • Body cross-section of the flying snake Chrysopelea paradisi
  • Nonshielded multipolar vortices at high Reynolds number
  • Hierarchical subdivision of space in FMM (fast multipole method)
  • Digital inking and lecture screencasts
  • Lift and drag coefficient versus angle of attack for a flying snake cross-section
  • PyGBe: Python on the surface, GPUs at the heart. BEM solver for Electrostatics of Biomolecules
  • Illustration of the flow of an FMM calculation (fast multipole method)
  • Open, Blended, Flipped, Social—courses in Mechanical Engineering
  • Reproducibility PI Manifesto
  • Time-averaged surface pressure on a flying-snake cross-section
  • (Brochure) ExaFMM: An open source library for Fast Multipole Methods
  • Application for the NAE Frontiers of Engineering Education Symposium 2012
  • ExaFMM: An open source library for Fast Multipole Methods aimed towards Exascale systems
  • GPU@BU—GPU computing at Boston University
  • Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods
  • Communicating in Science and not being Afraid of Tenacious Self-promotion
  • Digital pedagogy in three parts: screencasting, course blog, remote guests
  • Everybody's Flippin'—An update on the Flipped Classroom
  • Validation of the cuIBM code for Navier-Stokes equations with immersed boundary methods
  • Fast radial basis function interpolation with Gaussians by localization and iteration
  • Emergence and evolution of tripole vortices from net-circulation initial conditions
  • Discussion: "Three-dimensional vortex method for gas-particle two-phase compound round jet" (Uchiyama, T., and Fukase, A., 2005, ASME J. fluids Eng., 127, pp. 32-40)
  • Advances in viscous vortex methods - Meshless spatial adaption based on radial basis function interpolation
  • Vortex method with meshless spatial adaption for accurate simulation of viscous, unsteady vortical flows
  • Computing high-Reynolds number vortical flows: A highly accurate method with a fully meshless formulation
  • Numerical investigations on the accuracy of the vortex method with and without remeshing
  • Vortex method with fully mesh-less implementation for high-reynolds number flow computations

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Co-workers & collaborators

Natalia C. Clementi

Washington DC

Natalia C. Clementi

Pi-Yueh Chuang

Pi-Yueh Chuang

Lorena A. Barba's public data