Name
Abstract | ||
|---|---|---|
•We propose solutions for seismic wave propagation simulations on manycores•We compare the performance and energy efficiency of our solutions to optimized solutions for multicores and GPUs•MPPA-256 consumes at least 77% less energy than other processors•Our solution for the Xeon Phi achieves performance comparable to a state-of-the-art solution for GPUs |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.parco.2016.01.011 | Parallel Computing |
Keywords | Field | DocType |
Seismic wave propagation,MPPA-256,Xeon Phi,HPC,Performance,Energy efficiency | Power budget,Kernel (linear algebra),Architecture,Supercomputer,Computer science,Efficient energy use,Xeon Phi,Parallel computing,Implementation,Seismic wave propagation | Journal |
Volume | ISSN | Citations |
54 | 0167-8191 | 10 |
PageRank | References | Authors |
0.92 | 21 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Márcio Castro | 1 | 43 | 9.88 |
| Emilio Francesquini | 2 | 41 | 4.81 |
| Fabrice Dupros | 3 | 100 | 11.40 |
| Hideo Aochi | 4 | 35 | 5.21 |
| Philippe O. Navaux | 5 | 448 | 57.19 |
| Jean-François Méhaut | 6 | 288 | 37.88 |