Name
Title | ||
|---|---|---|
Parallel Implementation of the Ensemble Empirical Mode Decomposition and Its Application for Earth Science Data Analysis. |
Abstract | ||
|---|---|---|
To efficiently perform multiscale analysis of high-resolution, global, multiple-dimensional datasets, the authors have deployed the parallel ensemble empirical mode decomposition (PEEMD) package by implementing three-level parallelism into the ensemble empirical mode decomposition (EMD), achieving a scaled performance of 5,000 cores. In this study, they discuss the implementation of the PEEMD and ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MCSE.2017.3421555 | Computing in Science & Engineering |
Keywords | Field | DocType |
Parallel processing,Data handling,Empirical mode decomposition,Libraries,NASA,Benchmark testing,Two dimensional displays | Computer science,Flow (psychology),Parallel computing,Parallel processing,Earth science,Theoretical computer science,Computational science,Benchmark (computing),Hilbert–Huang transform | Journal |
Volume | Issue | ISSN |
19 | 5 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo-Wen Shen | 1 | 0 | 1.35 |
| Samson Cheung | 2 | 6 | 2.21 |
| Yu-Ling Wu | 3 | 0 | 0.34 |
| Jui-Lin F. Li | 4 | 0 | 0.34 |
| David L. Kao | 5 | 154 | 14.17 |