Optimizing Barnes-Hut simulations for many-core super computers using the scalable parallel runtime
Nusbaum, Kurtis
Loading…
Permalink
https://hdl.handle.net/2142/44186
Description
Title
Optimizing Barnes-Hut simulations for many-core super computers using the scalable parallel runtime
Author(s)
Nusbaum, Kurtis
Issue Date
2013-05-24T21:53:41Z
Director of Research (if dissertation) or Advisor (if thesis)
Snir, Marc
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(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.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
