Abstract | ||
---|---|---|
We describe a new iterative, asynchronous, parallel algorithmfor the solution of partial differential equations, based on discontinuousfinite-element methods. We use the domain-decomposition methodsto decompose a large problem into a number of smaller problems thatcan be computed in parallel. These methods facilitate coarse-grain parallelism,which is important for exploiting parallelism efficiently. Numericalexperiments that were executed on the MOSIX cluster computing system,show ... |
Year | DOI | Venue |
---|---|---|
1998 | 10.1007/BFb0037161 | HPCN Europe |
Keywords | Field | DocType |
asynchronous parallel discontinuous finite,element method,cluster computing,partial differential equation,domain decomposition,finite element method | Discontinuous Galerkin method,Task parallelism,Computer science,Parallel algorithm,Parallel computing,Finite element method,Data parallelism,Domain decomposition methods,Computer cluster,Speedup | Conference |
Volume | ISSN | ISBN |
1401 | 0302-9743 | 3-540-64443-1 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dan Aharoni | 1 | 3 | 1.23 |
Amnon Barak | 2 | 590 | 119.00 |