Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters

This paper presents the design and evaluation of an adaptive system sensitive partitioning and load balancing framework for distributed adaptive mesh re nement applications on heterogeneous and dynamic cluster environments. The framework uses system capabilities and current system state to select and tune appropriate partitioning parameters (e.g. partitioning granularity, load per processor) to maximize overall application performance. Furthermore, it uses dynamic load sensing (using NWS) to adapt to the load dynamics in the cluster.

• Type: Journal
• Year: 2002
• Where: CLUSTER
• Authors: Shweta Sinha, Manish Parashar
• Keywords: CLUSTER 2002, Distributed And Parallel Computing, Dynamic Cluster Environments, Sensitive Partitioning, Tune Appropriate Partitioning