An Evaluation of Partitioners for Parallel SAMR Applications

Authors:
Sumir Chandra;Manish Parashar
Affiliations:
-;-
Venue:
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
Year:
2001

Citing 1
Cited 2

A common data management infrastructure for adaptive algorithms for PDE solutions

SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing

Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters

Cluster Computing
Towards autonomic application-sensitive partitioning for SAMR applications

Journal of Parallel and Distributed Computing

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Abstract

This paper presents an experimental evaluation of a suite of dynamic partitioning/load-balancing techniques for adaptive grid hierarchies that underlie parallel structured adaptive mesh refinement applications. Partitioners evaluated include those included in popular software libraries such as GrACE, Vampire, and ParMetis. The overall goal of the research presented in the paper is an application-centric characterization of the partitioners as a function of the number of processors, problem size, and partitioning granularity.