Name
Abstract | ||
|---|---|---|
When designing and implementing highly efficient scientific applications for parallel computers such as clusters of workstations, it is inevitable to consider and to optimize the single-CPU performance of the codes. For this purpose, it is particularly important that the codes respect the hierarchical memory designs that computer architects employ in order to hide the effects of the growing gap between CPU performance and main memory speed. In this paper, we present techniques to enhance the single-CPU efficiency of lattice Boltzmann methods which are commonly used in computational fluid dynamics. We show various performance results to emphasize the effectiveness of our optimization techniques. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45209-6_66 | LECTURE NOTES IN COMPUTER SCIENCE |
Keywords | Field | DocType |
lattice boltzmann,lattice boltzmann method | Cluster (physics),Computer performance,Cache,CPU cache,Parallel algorithm,Computer science,Parallel computing,Workstation,Lattice Boltzmann methods,Computational fluid dynamics | Conference |
Volume | ISSN | Citations |
2790 | 0302-9743 | 8 |
PageRank | References | Authors |
3.80 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jens wilke | 1 | 52 | 11.18 |
| thomas pohl | 2 | 8 | 3.80 |
| Markus Kowarschik | 3 | 222 | 42.67 |
| Ulrich Rüde | 4 | 505 | 72.00 |
| lehrstuhl fur informatik systemsimulation | 5 | 8 | 3.80 |