Speed-up Techniques for High-Resolution Grid Data Processing in the Early Warning System for Agrometeorological Disaster |
Park, J.H.
(R&D Center, EPINET Co., Ltd.)
Shin, Y.S. (R&D Center, EPINET Co., Ltd.) Kim, S.K. (R&D Center, EPINET Co., Ltd.) Kang, W.S. (R&D Center, EPINET Co., Ltd.) Han, Y.K. (R&D Center, EPINET Co., Ltd.) Kim, J.H. (National Center for Agro-Meteorology, Seoul National University) Kim, D.J. (National Center for Agro-Meteorology, Seoul National University) Kim, S.O. (National Center for Agro-Meteorology, Seoul National University) Shim, K.M. (National Institute of Agricultural Sciences, RDA) Park, E.W. (Department of Agricultural Biotechnology, Seoul National University) |
1 | Zhang, J., S. You, and L. Gruenwald, 2015: Efficient parallel zonal statistics on large-scale global biodiversity data on GPUs. Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, 35-44. |
2 | Ahn, J. B., J. N. Hur, and A. Y. Lim, 2014: Estimation of fine-scale daily temperature with 30 m-resolution using PRISM. Atmosphere 24(1), 101-110. DOI |
3 | Amdahl, G. M., 1967: Validity of the single processor approach to achieving large-scale computing capabilities. AFIPS Conference Proceedings 30, 483-485. |
4 | Chung, U., K. Yun, K. S. Cho, J. H. Yi, and J. I. Yun, 2009: The PRISM-based rainfall mapping at an enhanced gridcell resolution in complex terrain. Korean Journal of Agricultural and Forest Meteorology 11, 72-78. DOI |
5 | Kim, C. Y., Y. C. Kim, Y. C. Kim, S. M. Lee, Y. K. Kim, and D. W. Seo, 2014: Performance enhancement of distributed file system as virtual desktop storage using client side SSD cache. Computer and Communication System 3(12), 433-442. |
6 | Kim, D. J., and J. I. Yun, 2013: Improving usage of the Korea meteorological administration's digital forecasts in agriculture: 2. Refining the distribution of precipitation amount. Korean Journal of Agricultural and Forest Meteorology 15(3), 171-177. DOI |
7 | Mielikainen, J., B. Huang, and H. L. A. Huang, 2013: Speeding up the computation of WRF double-moment 6-class microphysics scheme with GPU. Journal of Atmospheric and Oceanic Technology 30(12), 2896-2906. DOI |
8 | Ozimek, I., A. Hrovat, A. Vilhar, and T. Javornik, 2015: GPU computation acceleration of GRASS GIS modules for predicting radio-propagation. International Journal of Communication 9, 76-85. |
9 | Rodgers, D. P., 1985: Improvements in multiprocessor system design. ACM SIGARCH Computer Architecture News archive 13(3), 225-231. DOI |
10 | Sugiura, T., 1999: Prediction of full bloom date of pear using air temperature. Agriculture and Horticulture 54(10), 146-149. |