128 citations · 921 across the 32 of their papers we have counts for
5 papers · 1 filter
FMM-based vortex method for simulation of isotropic turbulence on GPUs, compared with a spectral method
Rio Yokota, L. A. Barba
The Lagrangian vortex method offers an alternative numerical approach for direct numerical simulation of turbulence. The fact that it uses the fast multipole method (FMM)--a hierar…
cuIBM -- A GPU-accelerated Immersed Boundary Method
Simon K Layton, Anush Krishnan, Lorena A. Barba
A projection-based immersed boundary method is dominated by sparse linear algebra routines. Using the open-source Cusp library, we observe a speedup (with respect to a single CPU c…
Hierarchical N-body simulations with auto-tuning for heterogeneous systems
Rio Yokota, Lorena A. Barba
With the current hybridization of treecodes and FMMs, combined with auto-tuning capabilities on heterogeneous architectures, the flexibility of fast N-body methods has been greatly…
Petascale turbulence simulation using a highly parallel fast multipole method on GPUs
R. Yokota, L. A. Barba, T. Narumi +1
This paper reports large-scale direct numerical simulations of homogeneous-isotropic fluid turbulence, achieving sustained performance of 1.08 petaflop/s on gpu hardware using sing…
A Tuned and Scalable Fast Multipole Method as a Preeminent Algorithm for Exascale Systems
Rio Yokota, Lorena Barba
Among the algorithms that are likely to play a major role in future exascale computing, the fast multipole method (FMM) appears as a rising star. Our previous recent work showed sc…