Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages

Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages

The optimization techniques for hierarchical O(N) N-body algorithms described here focus on managing the data distribution and the data references, both between the memories of different nodes and within the memory hierarchy of each node. We show how the techniques can be expressed in data-parallel...

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Main Authors: Yu Hu, S. Lennart Johnsson
Format: Article
Language:English
Published: Hindawi Limited 1996-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/1996/425936
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spelling doaj-618a5f5b769544d49d8d62118a527dd62021-07-02T03:25:10ZengHindawi LimitedScientific Programming1058-92441875-919X1996-01-015433736410.1155/1996/425936Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel LanguagesYu Hu0S. Lennart Johnsson1Aiken Computation Laboratory, Harvard University, Cambridge, MA 02138, USAAiken Computation Laboratory, Harvard University, Cambridge, MA 02138, USAThe optimization techniques for hierarchical O(N) N-body algorithms described here focus on managing the data distribution and the data references, both between the memories of different nodes and within the memory hierarchy of each node. We show how the techniques can be expressed in data-parallel languages, such as High Performance Fortran (HPF) and Connection Machine Fortran (CMF). The effectiveness of our techniques is demonstrated on an implementation of Anderson's hierarchical O(N) N-body method for the Connection Machine system CM-5/5E. Of the total execution time, communication accounts for about 10–20% of the total time, with the average efficiency for arithmetic operations being about 40% and the total efficiency (including communication) being about 35%. For the CM-5E, a performance in excess of 60 Mflop/s per node (peak 160 Mflop/s per node) has been measured.http://dx.doi.org/10.1155/1996/425936
collection DOAJ
language English
format Article
sources DOAJ
author Yu Hu
S. Lennart Johnsson
spellingShingle Yu Hu
S. Lennart Johnsson
Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
Scientific Programming
author_facet Yu Hu
S. Lennart Johnsson
author_sort Yu Hu
title Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
title_short Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
title_full Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
title_fullStr Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
title_full_unstemmed Implementing O(N) N-Body Algorithms Efficiently in Data-Parallel Languages
title_sort implementing o(n) n-body algorithms efficiently in data-parallel languages
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 1996-01-01
description The optimization techniques for hierarchical O(N) N-body algorithms described here focus on managing the data distribution and the data references, both between the memories of different nodes and within the memory hierarchy of each node. We show how the techniques can be expressed in data-parallel languages, such as High Performance Fortran (HPF) and Connection Machine Fortran (CMF). The effectiveness of our techniques is demonstrated on an implementation of Anderson's hierarchical O(N) N-body method for the Connection Machine system CM-5/5E. Of the total execution time, communication accounts for about 10–20% of the total time, with the average efficiency for arithmetic operations being about 40% and the total efficiency (including communication) being about 35%. For the CM-5E, a performance in excess of 60 Mflop/s per node (peak 160 Mflop/s per node) has been measured.
url http://dx.doi.org/10.1155/1996/425936
work_keys_str_mv AT yuhu implementingonnbodyalgorithmsefficientlyindataparallellanguages
AT slennartjohnsson implementingonnbodyalgorithmsefficientlyindataparallellanguages
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