Adaptive Techniques for Clustered N-Body Cosmological Simulations
Instrumentation and Methods for Astrophysics
2014-09-09 v1
Abstract
ChaNGa is an N-body cosmology simulation application implemented using Charm++. In this paper, we present the parallel design of ChaNGa and address many challenges arising due to the high dynamic ranges of clustered datasets. We focus on optimizations based on adaptive techniques for scaling to more than 128K cores. We demonstrate strong scaling on up to 512K cores of Blue Waters evolving 12 and 24 billion particles. We also show strong scaling of highly clustered datasets on up to 128K cores.
Keywords
Cite
@article{arxiv.1409.1929,
title = {Adaptive Techniques for Clustered N-Body Cosmological Simulations},
author = {Harshitha Menon and Lukasz Wesolowski and Gengbin Zheng and Pritish Jetley and Laxmikant Kale and Thomas Quinn and Fabio Governato},
journal= {arXiv preprint arXiv:1409.1929},
year = {2014}
}
Comments
23 pages, 11 figures, submitted to Computational Cosmology and Astrophysics