Name
Abstract | ||
|---|---|---|
Although workstation clusters are a common platform for high-performance computing (HPC), they remain more difficult to manage than sequential systems or even symmetric multiprocessors. Furthermore, as cluster sizes increase, the quality of the resource-management subsystem---essentially, all of the code that runs on a cluster other than the applications---increasingly impacts application efficiency. In this paper, we present STORM, a resource-management framework designed for scalability and performance. The key innovation behind STORM is a software architecture that enables resource management to exploit low-level network features. As a result of this HPC-application-like design, STORM is orders of magnitude faster than the best reported results in the literature on two sample resource-management functions: job launching and process scheduling. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/SC.2002.10057 | SC |
Keywords | Field | DocType |
workstation cluster,hpc-application-like design,cluster sizes increase,sample resource-management function,high-performance computing,resource-management framework,key innovation,resource-management subsystem,common platform,impacts application efficiency,lightning-fast resource management,storms,visual cues,computer networks,scientific visualization,texture mapping,clustering algorithms,software architecture,process scheduling,usability,performance,application software,perception,volume rendering,workstations,field lines,resource management,scalability,efficiency,informatics,job design,computer network,design,particle accelerators,high performance computing,resource manager | Resource management,Scheduling (computing),Computer science,Parallel computing,Storm,Workstation,Exploit,Software architecture,Application software,Operating system,Distributed computing,Scalability | Conference |
ISBN | Citations | PageRank |
978-0-7695-1524-3 | 36 | 4.95 |
References | Authors | |
28 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eitan Frachtenberg | 1 | 1060 | 85.08 |
| Fabrizio Petrini | 2 | 2050 | 165.82 |
| Juan Fernandez | 3 | 269 | 23.17 |
| Scott Pakin | 4 | 1098 | 134.55 |
| Salvador Coll | 5 | 609 | 57.12 |