Director of Research (if dissertation) or Advisor (if thesis)
Gropp, William D.
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)
Regular Meshes
Scientific Computing
Message-Passing Interface (MPI)
Performance Tuning
Hybrid MPI-pthreads model
Abstract
Domain decomposition for regular meshes on parallel computers has
traditionally been performed by attempting to exactly partition the work among the available processors (now cores). However, these
strategies often do not consider the inherent system noise which can hinder MPI application scalability to emerging peta-scale machines
with 10000+ nodes. In this work, we suggest a solution that uses a tunable hybrid static/dynamic scheduling strategy that can be incorporated into current MPI implementations of mesh codes. By applying this strategy to a 3D jacobi algorithm, we achieve performance gains
of at least 16% for 64 SMP nodes.
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