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Title: 2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation

We report on improvements made over the past two decades to our adaptive treecode N-body method (HOT). A mathematical and computational approach to the cosmological N-body problem is described, with performance and scalability measured up to 256k (2 18 ) processors. We present error analysis and scientific application results from a series of more than ten 69 billion (4096 3 ) particle cosmological simulations, accounting for 4×10 20 floating point operations. These results include the first simulations using the new constraints on the standard model of cosmology from the Planck satellite. Our simulations set a new standard for accuracy and scientific throughput, while meeting or exceeding the computational efficiency of the latest generation of hybrid TreePM N-body methods.
Authors:
 [1]
  1. Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Publication Date:
Grant/Contract Number:
AC02-05CH11231; AC52-06NA25396
Type:
Published Article
Journal Name:
Scientific Programming
Additional Journal Information:
Journal Name: Scientific Programming Journal Volume: 22 Journal Issue: 2; Journal ID: ISSN 1058-9244
Publisher:
Hindawi Publishing Corporation
Sponsoring Org:
USDOE
Country of Publication:
Egypt
Language:
English
OSTI Identifier:
1198062

Warren, Michael S. 2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation. Egypt: N. p., Web. doi:10.1155/2014/802125.
Warren, Michael S. 2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation. Egypt. doi:10.1155/2014/802125.
Warren, Michael S. 2014. "2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation". Egypt. doi:10.1155/2014/802125.
@article{osti_1198062,
title = {2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation},
author = {Warren, Michael S.},
abstractNote = {We report on improvements made over the past two decades to our adaptive treecode N-body method (HOT). A mathematical and computational approach to the cosmological N-body problem is described, with performance and scalability measured up to 256k (2 18 ) processors. We present error analysis and scientific application results from a series of more than ten 69 billion (4096 3 ) particle cosmological simulations, accounting for 4×10 20 floating point operations. These results include the first simulations using the new constraints on the standard model of cosmology from the Planck satellite. Our simulations set a new standard for accuracy and scientific throughput, while meeting or exceeding the computational efficiency of the latest generation of hybrid TreePM N-body methods.},
doi = {10.1155/2014/802125},
journal = {Scientific Programming},
number = 2,
volume = 22,
place = {Egypt},
year = {2014},
month = {1}
}