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  • 标题:2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation
  • 本地全文:下载
  • 作者:Michael S. Warren
  • 期刊名称:Scientific Programming
  • 印刷版ISSN:1058-9244
  • 出版年度:2014
  • 卷号:22
  • DOI:10.3233/SPR-140385
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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 (218) processors. We present error analysis and scientific application results from a series of more than ten 69 billion (40963) particle cosmological simulations, accounting for 4×1020 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.
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