By Topic

A Graph Model for Minimizing the Storage Overhead of Distributing Data for the Parallel Solution of Two-Phase Flows

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Fortmeier, O. ; Inst. for Sci. Comput., RWTH Aachen Univ., Aachen, Germany ; Bastea, A.A. ; Bucker, H.M.

We consider a finite element method for the parallel solution of two-phase flow problems using a level set approach. Here, two systems of equations result from the discretization of the governing partial differential equations. Rather than investigating the solution of these systems, we focus on finding a data distribution for their assembly. We formulate a new combinatorial problem that minimizes the overhead in storage requirement to represent the systems while, at the same time, balancing the computational effort to assemble these systems in parallel. We model this problem by introducing a weighted undirected graph. We then transform the problem to a (standard) graph partitioning problem in which a weighted sum of certain edges is minimized subject to balancing a weighted sum of all vertices. Numerical experiments are carried out illustrating the feasibility of the new approach for an application using up to 512 processes of a cluster of quad-core processors.

Published in:

Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on

Date of Conference:

16-20 May 2011