Zobrazeno 1 - 10
of 957
pro vyhledávání: '"Multi gpu"'
Publikováno v:
Hangkong bingqi, Vol 31, Iss 1, Pp 23-31 (2024)
Multi GPU systems achieve performance improvement through scaling out to meet the ever-increasing computation demand brought about by increasingly complex algorithms and the continuously increasing data in artificial intelligence. The interconnection
Externí odkaz:
https://doaj.org/article/82214cf122aa499b92a2569f2e0a9e79
Autor:
Hao Han, Jingming Hou, Zhao Jin, Pingping Luo, Guodong Li, Ye Zhang, Jiahui Gong, Da Luo, Siqi Yang
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 1-19 (2024)
The response capacities of urban flood forecasting and risk control can be improved by strengthening the computational abilities of urban flood numerical models. In this work, a GPU-based hydrodynamic model is developed to simulate urban rainstorm in
Externí odkaz:
https://doaj.org/article/af4e74257a1f44a2ade69a5eadc4a296
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1576-1585 (2023)
Subgraph matching is an important method of data mining in complex networks. In recent years, the subgraph matching algorithm based on GPU (graphics processing units) has shown obvious speed advantages.However, due to the large scale of graph data an
Externí odkaz:
https://doaj.org/article/008c84378d4f4742b3af1f8091831008
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1301 (2024)
Synthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, sig
Externí odkaz:
https://doaj.org/article/3bbedb3d9e8742a6b19330e67563cbbd
Autor:
Emilio López-Ales, Rosa-María Menchón-Lara, Federico Simmross-Wattenberg, Manuel Rodríguez-Cayetano, Marcos Martín-Fernández, Carlos Alberola-López
Publikováno v:
Sensors, Vol 24, Iss 4, p 1313 (2024)
Cardiac CINE, a form of dynamic cardiac MRI, is indispensable in the diagnosis and treatment of heart conditions, offering detailed visualization essential for the early detection of cardiac diseases. As the demand for higher-resolution images increa
Externí odkaz:
https://doaj.org/article/e0349a19b8fa40b2add24b67ea7a938e
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1528 (2024)
This paper addresses the challenge of extracting feature points and image matching in Synthetic Aperture Radar (SAR) satellite images, particularly focusing on large-scale embedding. The widely used Scale Invariant Transform (SIFT) algorithm, success
Externí odkaz:
https://doaj.org/article/97da2f43abd145e3b8ad974def431336
Publikováno v:
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), Vol 15, Iss 1, Pp 17-22 (2022)
GPU computing dapat mempersingkat waktu eksekusi suatu aplikasi yang sebelumnya dianggap memakan waktu eksekusi yang lama dengan memanfaatkan pemrograman paralel. Penerapan multi-GPU memungkinkan untuk meningkatkan performa lebih lanjut dalam menjala
Externí odkaz:
https://doaj.org/article/dc43efcaa2714a8ba196dc292a31d17c
Autor:
Chen Yang, Carl Ponder, Bei Wang, Hoang Tran, Jun Zhang, Jackson Swilley, Laura Condon, Reed Maxwell
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 5, Pp n/a-n/a (2023)
Abstract Unprecedented climate change and anthropogenic activities have induced increasing ecohydrological problems, motivating the development of large‐scale hydrologic modeling for solutions. Water age/quality is as important as water quantity fo
Externí odkaz:
https://doaj.org/article/3c53200cecdb4ef098eb59161fae0dbe
Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
Autor:
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-18 (2022)
Abstract With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neural networks (DPNN) and large-sca
Externí odkaz:
https://doaj.org/article/aa27344a1d45457eb832b4a93df6812a
One of the major obstacles for designing solutions against the imminent climate crisis is the scarcity of high spatio-temporal resolution model projections for variables such as precipitation. This kind of information is crucial for impact studies in
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A91261
https://tud.qucosa.de/api/qucosa%3A91261/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A91261/attachment/ATT-0/
