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GPU-accelerated simulation of massive spatial data based on the modified planar rotator model

Žukovič, Milan, Borovský Michal, Lach Matúš, Christopoulos Dionysios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/DD76CC54-26C3-4A63-9478-0006E2296555-
Αναγνωριστικόhttps://doi.org/10.1007/s11004-019-09835-3-
Αναγνωριστικόhttps://link.springer.com/article/10.1007/s11004-019-09835-3-
Γλώσσαen-
Μέγεθος21 pagesen
ΤίτλοςGPU-accelerated simulation of massive spatial data based on the modified planar rotator modelen
ΔημιουργόςŽukovič, Milanen
ΔημιουργόςBorovský Michalen
ΔημιουργόςLach Matúšen
ΔημιουργόςChristopoulos Dionysiosen
ΔημιουργόςΧριστοπουλος Διονυσιοςel
ΕκδότηςSpringeren
ΠερίληψηA 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2022-06-29-
Ημερομηνία Δημοσίευσης2020-
Θεματική ΚατηγορίαSpatial interpolationen
Θεματική ΚατηγορίαHybrid Monte Carloen
Θεματική ΚατηγορίαNon-Gaussian modelen
Θεματική ΚατηγορίαConditional simulationen
Θεματική ΚατηγορίαGPU parallel computingen
Θεματική ΚατηγορίαCUDAen
Βιβλιογραφική ΑναφοράM. 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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