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.


  • 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/
  • 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/
  • 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

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Natalia C. Clementi

Washington DC

Natalia C. Clementi

Pi-Yueh Chuang

Pi-Yueh Chuang

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