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Title:Optimizing Barnes-Hut simulations for many-core super computers using the scalable parallel runtime
Author(s):Nusbaum, Kurtis
Advisor(s):Snir, Marc
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Barnes-Hut
Scalable Parallel Runtime (SPR)
Qthreads
Parallel Programming Language (PPL)
Many-Core
Exascale
Abstract:It is now generally accepted that the road to Exascale Super Computing will no doubt include increasing core counts on individual compute nodes. The Scalable Parallel Runtime (SPR) is a project being developed at Sandia National Laboratories which attempts to address the challenge of efficiently utilizing the power of these new many-core systems. SPR is a combination of the Qthreads Library, Portals, and MPI. In this paper, we investigate optimizing the Barnes-Hut simulation by using the PPL Runtime which we implement using SPR. PPL provides a PGAS runtime with one-sided com- munication facilities, ideal for irregular applications with dynamic commu- nication patterns like that of Barnes-Hut.
Issue Date:2013-05-24
URI:http://hdl.handle.net/2142/44186
Rights Information:Copyright 2013 Kurtis Nusbaum
Date Available in IDEALS:2013-05-24
Date Deposited:2013-05


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