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 is among four new CUDA Fellows named by NVIDIA Corporation in advance of this year’s GPU Technology Conference. She joins an elite group of leaders in GPU computing [link updated]. Each of these individuals has demonstrated a passion and commitment to using CUDA and the power of GPU computing to help solve some of... Continue »
The Piazza company blog has chosen Prof. Barba as“Innovator of the Week”, focusing on her long trajectory of using various technologies and pedagogical improvements in her teaching. In her latest experiment, Prof. Barba opened her Piazza class for Computational Fluid Dynamics to guest students and self-learners from around the world, creating an online community around her course.... Continue »
By Mark Dwortzan Two . . . one . . . zero. Change! Clutching an iPhone, Assistant Professor Lorena Barba (ME) works a brightly lit computer lab at the Photonics Center like a Hollywood movie director, cueing her ENG ME 702—Computational Fluid Dynamics (CFD)—students to take their places on the set of what she calls... Continue »
The award will fund Prof. Barba’s research in scalable algorithms for extreme computing on heterogeneous systems. Recent trends in high-performance computing (HPC) are clearly in the direction of computing systems involving various structurally different types of hardware (i.e., heterogeneous), of which a prominent example are GPUs (graphics processing units). Prof. Barba is one of the early adopters of GPU... 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 »