Name
Abstract | ||
|---|---|---|
We have constructed a Beowulf cluster of networked PCs that is dedicated to solving chemistry problems using standard software packages such as Gaussian and GAMESS. We describe the economic and performance trade-offs in the design of the cluster, and present some some selected benchmark results for a parallel version of GAMESS. We believe that the Beowulf we have constructed offers the best price/performance ratio for our chemistry applications, and that commodity clusters can now provide dedicated supercomputer performance within the budget of most university departments. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-45492-6_55 | HPCN Europe |
Keywords | Field | DocType |
supercomputer performance,networked pcs,chemistry application,performance trade-offs,best price,chemistry problem,beowulf cluster,computational chemistry,commodity cluster,performance ratio,parallel version | Cluster (physics),Supercomputer,Performance ratio,Computer science,Parallel computing,Computational science,Gaussian,Software,Systems architecture,GAMESS | Conference |
Volume | ISSN | ISBN |
1823 | 0302-9743 | 3-540-67553-1 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. A. Hawick | 1 | 293 | 66.26 |
| D. A. Grove | 2 | 40 | 14.18 |
| Paul D. Coddington | 3 | 259 | 33.09 |
| H. A. James | 4 | 89 | 31.57 |
| M. A. Buntine | 5 | 1 | 0.77 |