FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method, Rio Yokota, L. A. Barba, Computers & Fluids, in press (available online 13 August 2012), doi:10.1016/j.compfluid.2012.08.002 This paper presents the results of comparing a Lagrangian vortex method with a trusted spectral method for the simulation of isotropic fluid turbulence. The numerical engine of the vorticity-based fluid... Continue »
Prof. Barba led a multi-institution bid to success in the call for research seed grants of the Massachusetts Green High-Performance Computing Center, MGHPCC. The award amounts to $130,487 for the duration of one year. This project is a collaboration among investigators in BU, Harvard and UMass aimed at creating an open and high-performance software infrastructure... Continue »
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 »
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 »