Name
Abstract | ||
|---|---|---|
An important advance in cluster computing is the evolution from single processor clusters to multi-processor SMP clusters. Due to the increased complexity in the memory model on SMP clusters, new approaches are needed for applications that make use of distributed-memory paradigms. This paper presents new communications software developments that are designed to take advantage of SMP cluster hardware. Although the specific focus is on the central field of computational chemistry and materials science, as embodied in the popular electronic structure package GAMESS (General Atomic and Molecular Electronic Structure System), the impact of these new developments will be far broader in scope. Following a summary of the essential features of the distributed data interface (DDI) in the current implementation of GAMESS, the new developments for SMP clusters are described. The advantages of these new features are illustrated using timing benchmarks on several hardware platforms, using a typical computational chemistry application. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1145/1048935.1050191 | SC |
Keywords | Field | DocType |
new communications software development,hardware platform,cluster computing,smp clusters,efficient use,new approach,smp cluster hardware,ddi model,single processor cluster,new development,new feature,smp cluster,computational chemistry,computer applications,chemistry,games,electronics packaging,molecular electronics,parallel,electronic structure,programming,satisfiability,software development,hardware,application software,distributed memory,memory model,materials science | Cluster (physics),Computer science,Satisfiability,Parallel computing,Distributed memory,Memory model,Computer Applications,Application software,GAMESS,Computer cluster,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-58113-695-1 | 12 | 0.94 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryan M. Olson | 1 | 62 | 5.67 |
| Michael W. Schmidt | 2 | 81 | 11.56 |
| Mark S. Gordon | 3 | 283 | 25.73 |
| Alistair P. Rendell | 4 | 209 | 34.55 |