Lorena A. Barba group


Submitted: Inexact Krylov iterations and relaxation strategies with fast-multipole boundary element method

sketch of quadrature-points clustering on 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 »

New paper published: CiSE journal

A new paper authored by Rio Yokota and Lorena Barba has appeared (published online 3 Jan. 2012) in Computing in Science and Engineering, the joint publication of the IEEE Computer Society and he American Institute of Physics. This paper presents a new hybrid treecode/FMM formulation that has been implemented in the ExaFMM code, recently released... Continue »

First exaFMM paper accepted

The first publication reporting our work towards advancing fast multipole methods (FMM) to be a prime algorithm for exascale systems has been accepted by the International Journal of High-Performance Computing Applications, IJHPCA. Our previous recent work showed scaling of an FMM on GPU clusters, with problem sizes in the order of billions of unknowns (Yokota... Continue »