|
Published Articles >> Table of Contents >> Abstract
2002 International Conference on Parallel Processing Workshops (ICPPW'02)
p. 336
Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement (SAMR) Applications
Xiaolin Li, Rutgers, The State University of New Jersey
Sivapriya Ramanathan, Rutgers, The State University of New Jersey
Manish Parashar, Rutgers, The State University of New Jersey
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPPW.2002.1039749
Send link to a friend
| Abstract |
|
This paper presents the design and preliminary evaluation of hierarchical partitioning and load-balancing techniques for distributed Structured Adaptive Mesh Refinement (SAMR) applications. The overall goal of these techniques is to enable the load distribution to reflect the state of the adaptive grid hierarchy and exploit it to reduce synchronization requirements, improve load-balance, and enable concurrent communications and incremental redistribution. The hierarchical partitioning algorithm (HPA) partitions the computational domain into subdomains and assigns them to hierarchical processor groups. Two variants of HPA are presented in this paper. The Static Hierarchical Partitioning Algorithm (SHPA) assigns portions of overall load to processor groups. In SHPA, the group size and the number of processors in each group is setup during initialization and remains unchanged during application execution. It is experimentally shown that SHPA reduces communication costs as compared to the Non-HPA scheme, and reduces overall application execution time by up to 41%. The Adaptive Hierarchical Partitioning Algorithm (AHPA) dynamically partitions the processor pool into hierarchical groups that match the structure of the adaptive grid hierarchy. Initial evaluations of AHPA show that it can reduce communication costs by up to 70%.
|
Additional Information
|
Index Terms- Dynamic Load Balancing, Hierarchical Partitioning Algorithm, Distributed Computing, Structured Adaptive Mesh Refinement
Citation:
Xiaolin Li, Sivapriya Ramanathan, Manish Parashar,
"Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement (SAMR) Applications,"
icppw,
p. 336,
2002 International Conference on Parallel Processing Workshops (ICPPW'02),
2002
|
|