Trading Computation for Communication: A Low Communication Algorithm for the Parallel Solution of PDEs Using Range Decomposition, Nested Iteration, and Adaptive Mesh Refinement
In this thesis we propose a new algorithm for solving PDEs on massively parallel computers. The Nested Iteration Adaptive Mesh Refinement Range Decomposition (NI-AMR-RD) algorithm uses nested iteration and adaptive mesh refinement locally before performing a global communication step. Only a few suc...
Saved in:
| Main Author: | |
|---|---|
| Format: | Dissertation |
| Language: | English |
| Published: |
ProQuest Dissertations & Theses
01.01.2014
|
| Subjects: | |
| ISBN: | 9781321497243, 1321497245 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!

