| Hi-index | 0.00 |
This paper presents the design and evaluation of a system sensitive partitioning and load balancing framework for distributed adaptive grid hierarchies that underlie parallel adaptive mesh-refinement (AMR) techniques for the solution of partial-differential equations. The framework uses system capabilities and current system state to select and tune appropriate distribution parameters (e.g. partitioning granularity, load per processor) to maximize overall application performance.