Fast N-body Simulations on GPUs

Rio Yokota, Lorena A. Barba
Mechanical Engineering Dept., Boston University, Boston MA 02215
arXiv:1108.5815v1 [cs.NA] (30 Aug 2011)


   author={Yokota}, R. and {Barba}, L.~A.},

   title={"{Fast N-body Simulations on GPUs}"},

   journal={ArXiv e-prints},




   keywords={Computer Science – Numerical Analysis, Computer Science – Mathematical Software, 70F10, D.1.2, D.1.3, G.1.0, G.1.2},




   adsnote={Provided by the SAO/NASA Astrophysics Data System}


Download Download (PDF)   View View   Source Source   



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 enhanced. These features are a requirement to developing a black- box software library for fast N-body algorithms on heterogeneous systems, which is our immediate goal.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Contact us: