Lorena A. Barba group
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Pi-Yueh Chuang at GTC 2016
At this year's NVIDIA GPU Technology Conference, PhD student Pi-Yueh Chuang presented the work "Using AmgX to Accelerate PETSc Codes." AmgX is an NVIDIA library that provides sparse linear solvers, smoothers and preconditioners on GPU devices. Pi-Yueh presented his work to couple AmgX with our fluid-flow solver, PetIBM. This code solves the Navier-Stokes equations on Cartesian... Continue »
Submitted: Inexact Krylov iterations and relaxation strategies with fast-multipole boundary element method
Submitted: 19 June 2015 This paper presents a method to algorithmically accelerate boundary element methods. The fast multipole method (FMM) is already used in this context to obtain O(N) computational complexity while solving a dense linear system. Using relaxed-accuracy matrix-vector multiplications in a Krylov solver, we can achieve speed-ups in the order of 4x... Continue »
Probing protein orientation near charged surfaces
First version submitted: 31 March 2015. Submission of split papers: June 7 & June 12. Accepted: 4 Sept. & 26 Dec. 2015. UPDATE: The material in the original manuscript was split in two papers, submitted to different peer-reviewed journals. The editorial decision on the first submission was that the paper was out of scope... Continue »
Ph.inally D.one!
Two Barba-group Ph.D. students successfully defended their doctoral dissertation this week. Congratulations to them! Anush Krishnan came to Boston University on 2009, after completing a Dual Degree (B. Tech & M. Tech.) in Aerospace Engineering at IIT Madras, Chennai, India. He has worked on development of immersed boundary methods (IBM) for solving Navier-Stokes equations at moderate... Continue »
Announcing "Practical Numerical Methods with Python" MOOC
Aug. 6—New! Course site now open for registrations! As announced at SciPy 2014 (July 8), I will be teaching a numerical methods course at GW this Fall semester that will be connected with three other courses around the world, and also with an independent MOOC titled "Practical Numerical Methods with Python." This is a collaboration... Continue »
New CUDA Research Center at GW
NVIDIA names GW a new CUDA Research Center, in recognition of the research trajectory of Prof. Lorena Barba. The announcement reads as follows. The CUDA Research Center at the George Washington University in Washington, DC, recognizes the research trajectory of Prof. Lorena A. Barba. With a background in mechanical engineering and aeronautics, and a few... Continue »