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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/DD76CC54-26C3-4A63-9478-0006E2296555 | - |
| Αναγνωριστικό | https://doi.org/10.1007/s11004-019-09835-3 | - |
| Αναγνωριστικό | https://link.springer.com/article/10.1007/s11004-019-09835-3 | - |
| Γλώσσα | en | - |
| Μέγεθος | 21 pages | en |
| Τίτλος | GPU-accelerated simulation of massive spatial data based on the modified planar rotator model | en |
| Δημιουργός | Žukovič, Milan | en |
| Δημιουργός | Borovský Michal | en |
| Δημιουργός | Lach Matúš | en |
| Δημιουργός | Christopoulos Dionysios | en |
| Δημιουργός | Χριστοπουλος Διονυσιος | el |
| Εκδότης | Springer | en |
| Περίληψη | A novel Gibbs Markov random field for spatial data on Cartesian grids based on the modified planar rotator (MPR) model of statistical physics has been recently introduced for efficient and automatic interpolation of big data sets, such as satellite and radar images. The MPR model does not rely on Gaussian assumptions. Spatial correlations are captured via nearest-neighbor interactions between transformed variables. This allows vectorization of the model which, along with an efficient hybrid Monte Carlo algorithm, leads to fast execution times that scale approximately linearly with system size. The present study takes advantage of the short-range nature of the interactions between the MPR variables to parallelize the algorithm on graphics processing units (GPUs) in the Compute Unified Device Architecture programming environment. It is shown that, for the processors employed, the GPU implementation can lead to impressive computational speedups, up to almost 500 times on large grids, compared to single-processor calculations. Consequently, massive data sets comprising millions of data points can be automatically processed in less than one second on an ordinary GPU. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2022-06-29 | - |
| Ημερομηνία Δημοσίευσης | 2020 | - |
| Θεματική Κατηγορία | Spatial interpolation | en |
| Θεματική Κατηγορία | Hybrid Monte Carlo | en |
| Θεματική Κατηγορία | Non-Gaussian model | en |
| Θεματική Κατηγορία | Conditional simulation | en |
| Θεματική Κατηγορία | GPU parallel computing | en |
| Θεματική Κατηγορία | CUDA | en |
| Βιβλιογραφική Αναφορά | M. Žukovič, M. Borovský, M. Lach, and D. T. Hristopoulos, “GPU-accelerated simulation of massive spatial data based on the modified planar rotator model,” Math. Geosci., vol. 52, no. 1, pp. 123–143, Jan. 2020, doi: 10.1007/s11004-019-09835-3. | en |
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