Name
Abstract | ||
|---|---|---|
Energy consumption is one of the great villains in high-performance processing when applied to large clusters that continuously run certain applications. Seismic migration applications are targets of this type of processing, since this feature denotes a need to apply complex models that are continuously run to evaluate drilling of petroleum wells. This work describes an analysis tool of energy consumption of a seismic application applied to FPGA architecture for a real Brazilian industry. A comparative study with the traditional multi-core and with GPGPU architectures is performed and results indicate an increase in efficiency/Joule of about 23 and 1.5 times higher respectively. Experiments performed with the Marmousi model revels an error about 3.7% when compared with measured values. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICPPW.2012.88 | ICPP Workshops |
Keywords | Field | DocType |
marmousi model revel,comparative study,certain application,high-performance processing,analysis tool,seismic application,energy consumption,fpga architecture,petroleum industry,energy estimation tool fpga-based,seismic migration application,gpgpu architecture,parallel processing,field programmable gate arrays,mathematical model,computer architecture,fpga | Seismic migration,Petroleum industry,Computer science,Parallel computing,Field-programmable gate array,Real-time computing,General-purpose computing on graphics processing units,Fpga architecture,Energy consumption,Joule,Energy estimation | Conference |
ISSN | ISBN | Citations |
1530-2016 | 978-1-4673-2509-7 | 1 |
PageRank | References | Authors |
0.37 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. S. Menezes | 1 | 1 | 0.37 |
| A. G. Silva-Filho | 2 | 21 | 3.38 |
| V. L. Souza | 3 | 1 | 0.37 |
| V. W. C. Medeiros | 4 | 1 | 0.37 |
| M. E. Lima | 5 | 14 | 1.55 |
| Rodrigo Gandra | 6 | 1 | 0.37 |
| Ricardo Braganca | 7 | 1 | 0.37 |