Paper accepted in Computers & Fluids

August 16th, 2012 in Publications.

"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), This paper presents the results of comparing a Lagrangian vortex method with a trusted spectral method for the simulation of isotropic fluid turbulence. More

Research seed grant from MGHPCC

February 6th, 2012 in Funding.

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 project is a collaboration among investigators in BU, Harvard and UMass aimed at creating an open and high-performance software infrastructure for  hierarchical N-body algorithms. The award amounts to... More

Paper accepted in CiSE

January 4th, 2012 in Publications.

A new paper authored by the ExaFMM team has been accepted, this time to appear in Computing in Science and Engineering, the joint publication of the IEEE Computer Society and the American Institute of Physics. Title: "Heterogeneous N-body Simulations with Auto-Tuning for Heterogeneous Systems" Authors: Rio Yokota and Lorena A. Barba To appear: Computing in Science and... More

Poster at the NVIDIA exhibition booth in SC’11

January 4th, 2012 in Events.

ExaFMM was disseminated as an open-source code with a poster featured at the NVIDIA booth in the Supercomputing Conference SC11 in Seattle, 14–18 November. Building up to this event, this website was prepared and put on a public-facing server, developer documentation was prepared using Doxygen, and the Bitbucket repository was opened. In fact, an... More

First ExaFMM paper accepted

October 20th, 2011 in Publications.

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... More