Lorena A. Barba group


New exaFMM paper accepted

An isosurface plot of the second invariant of the velocity gradient tensor helps to visualize the structures of turbulence.

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 »

ExaFMM poster at SC'11

Poster featured at the NVIDIA exhibit booth in the Supercomputing Conference, November 2011, Seattle, WA.

It was also shown later at the GPU Technology Conference in May 2012 (and that is the version shown on the PDF file).

The fast multipole... Continue »


Barba awarded computer center grant

The Massachusetts Green High Performance Computing Center (MGHPCC) is a ground-breaking collaboration of five of the state’s most research-intensive universities, state government and private industry—the most significant such collaboration in the history of the Commonwealth.

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 »

New paper published: CiSE journal

The Roofline model relates floating-point performance, operational performance and memory performance. This model distinctly quantifies the high operational intensity of fast N-body algorithms and reveals their advantage on many-core architectures.

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

Illustration of the FMM algorithm, with the upward sweep of the tree shown on the left side, and the downward sweep shown on the right side of the tree (Figure 1 of the paper).

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 »