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dc.contributor.authorHu, Yu Charlie
dc.contributor.authorJohnsson, S. Lennart
dc.contributor.authorTeng, Shang-Hua
dc.date.accessioned2016-02-25T17:13:46Z
dc.date.issued1996
dc.identifier.citationHu, Yu Charlie, S. Lennart Johnsson, and Shang-Hua Teng. 1996. A Data-Parallel Adaptive N-body Method. Harvard Computer Science Group Technical Report TR-14-96.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:25620469
dc.description.abstractWe present a data-parallel formulation of an adaptive version of Anderson's method for N-body particle interactions. Our formulation consists of a storage and computationally efficient array-based representation for the nonuniform hierarchy that models arbitrary particle distributions for the computational procedure. We also present data-parallel implementations (in HPF) of several well known partitioning methods. These partitioning methods balance nodal weights (for computation). We present preliminary experimental results for these partitioning schemes and discuss the complete code for adaptive particle simulations.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.titleA Data-Parallel Adaptive N-body Methoden_US
dc.typeResearch Paper or Reporten_US
dc.description.versionVersion of Recorden_US
dc.date.available2016-02-25T17:13:46Z


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