Name
Abstract | ||
|---|---|---|
With energy costs now accounting for nearly 30 % of a datacenter’s operating expenses, energy consumption has become an important issue when designing and executing a parallel algorithm. This paper analyzes the energy consumption of MPI applications following the master–slave paradigm. The analytical model is derived for this paradigm and is validated over a master–slave matrix-multiplication. This analytical model is parameterized through architectural and algorithmic parameters, and it is capable of predicting the energy consumption for a given instance of the problem over a given architecture. We use an external, metered, power distribution unit that allows to easily measure the power consumption of computing nodes without the needing of dedicated hardware. |
Year | DOI | Venue |
|---|---|---|
2013 | https://doi.org/10.1007/s11227-013-0914-y | The Journal of Supercomputing |
Keywords | Field | DocType |
Energy-aware computing,Power consumption,Energy models,Master–slave paradigm | Architecture,Parameterized complexity,Power distribution unit,Computer science,Parallel algorithm,Parallel computing,Master/slave,Energy consumption,Operating expense,Power consumption,Distributed computing | Journal |
Volume | Issue | ISSN |
65 | 3 | 0920-8542 |
Citations | PageRank | References |
3 | 0.40 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| F. Almeida | 1 | 343 | 49.54 |
| Vicente Blanco Pérez | 2 | 33 | 5.19 |
| Alberto Cabrera | 3 | 6 | 1.50 |
| J. Ruiz | 4 | 3 | 0.40 |