Digital Image Processing
A Virtual Test Facility for the Simulation of Dynamic Response in Materials
The Journal of Supercomputing
Zoltan Data Management Service for Parallel Dynamic Applications
Computing in Science and Engineering
An Application-Centric Characterization of Domain-Based SFC Partitioners for Parallel SAMR
IEEE Transactions on Parallel and Distributed Systems
On Partitioning Dynamic Adaptive Grid Hierarchies
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 1: Software Technology and Architecture
Dynamic load balancing of SAMR applications on distributed systems
Scientific Programming - Best papers from SC 2001
Hybrid Runtime Management of Space-Time Heterogeneity for Parallel Structured Adaptive Applications
IEEE Transactions on Parallel and Distributed Systems
| Hi-index | 0.00 |
The dynamism and space-time heterogeneity exhibited by structured adaptive mesh refinement (SAMR) applications makes their scalable parallel implementation a significant challenge. This paper investigates an adaptive hierarchical multi-partitioner (AHMP) framework that dynamically applies multiple partitioners to different regions of the domain, in a hierarchical manner, to match the local requirements of these regions. Key components of the AHMP framework include a segmentation-based clustering algorithm (SBC) for identifying regions in the domain with relatively homogeneous partitioning requirements, mechanisms for characterizing the partitioning requirements, and a runtime system for selecting, configuring and applying the most appropriate partitioner to each region. The AHMP framework has been implemented and experimentally evaluated on up to 1280 processors of the IBM SP4 cluster at San Diego Supercomputer Center.