Abstract | ||
---|---|---|
Electricity is a significant cost in high performance computing. It can easily exceed the cost of hardware during hardware lifetime. We have studied energy efficiency in a grid computing cluster and noticed that optimising the system configuration can both decrease energy consumption per job and increase throughput. The goal with the proposed saving scheme was that it is easy to implement in normal HPC clusters. Our tests showed that the savings can be up to 25%. The tests were done with real-life high-energy physics jobs. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1007/978-3-642-01671-4_11 | GPC |
Keywords | Field | DocType |
grid computing clusters,high performance computing,improving energy-efficiency,proposed saving scheme,normal hpc cluster,increase throughput,real-life high-energy physics job,significant cost,grid computing cluster,hardware lifetime,energy efficiency,decrease energy consumption,grid computing,energy efficient,high energy physics | Dynamic voltage scaling,Cluster (physics),Grid computing,Supercomputer,Efficient energy use,Computer science,Electricity,Real-time computing,Throughput,Energy consumption,Reliability engineering,Distributed computing | Conference |
Volume | ISSN | Citations |
5529 | 0302-9743 | 5 |
PageRank | References | Authors |
0.42 | 19 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tapio Niemi | 1 | 163 | 18.90 |
Jukka Kommeri | 2 | 11 | 1.90 |
Kalle Happonen | 3 | 9 | 1.15 |
Jukka Klem | 4 | 9 | 0.82 |
Ari-Pekka Hameri | 5 | 79 | 5.92 |