Name
Abstract | ||
|---|---|---|
We describe the parallelization of a computer program for the adaptive mesh refinement simulation of variable density, viscous, incompressible fluid flows for low Mach number combustion. The adaptive methodology is based on the use of local grids superimposed on a coarse grid to achieve sufficient resolution in the solution. The key elements of the approach to parallelization are a dynamic load-balancing technique to distribute work to processors and a software methodology for managing data distribution and communications. The methodology is based on a message-passing model that exploits the coarse-grained parallelism inherent in the algorithms. A method is presented for parallelizing weakly sequential loops--loops with sparse dependencies among iterations. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45545-0_123 | International Conference on Computational Science (1) |
Keywords | Field | DocType |
low mach number combustion,incompressible fluid flow,local grid,computer program,key element,coarse grid,adaptive mesh refinement simulation,software methodology,dynamic load-balancing technique,data distribution,adaptive mesh refinement method,adaptive methodology,adaptive mesh refinement,message passing | Compressibility,Computer science,Parallel computing,Adaptive mesh refinement,Software,Computer program,Distributed parameter system,Mach number,Grid,Automatic parallelization | Conference |
ISBN | Citations | PageRank |
3-540-42232-3 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles A. Rendleman | 1 | 41 | 2.81 |
| Vincent E. Beckner | 2 | 5 | 1.45 |
| Mike Lijewski | 3 | 0 | 0.34 |