GPU acceleration for GRAPES meteorological model

Proc.- 2011 IEEE International Conference on HPCC 2011 - 2011 IEEE International Workshop on FTDCS 2011 -Workshops of the 2011 Int. Conf. on UIC 2011- Workshops of the 2011 Int. Conf. ATC 2011

Volumn , Issue , 2011, Pages 365-372

  Wang, Zhuowei ^a   Xu, Xianbin ^a   Xiong, Naixue ^b   Yang, Laurence T ^c   Zhao, Wuqing ^a  

^a WUHAN UNIVERSITY   (China)

^b GEORGIA STATE UNIVERSITY   (United States)

^c ST FRANCIS XAVIER UNIVERSITY   (Canada)

Author keywords

data transmission time; device memory loads and stores; GPUs; GRAPES; thread control flow

Indexed keywords

DATA TRANSFER; EARTH ATMOSPHERE; GRAPHICS PROCESSING UNIT; WEATHER FORECASTING;

CONTROL FLOWS; DATA TRANSMISSION TIME; GPUS; GRAPES; MEMORY LOAD;

PROGRAM PROCESSORS;

EID: 81555215176     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCC.2011.54     Document Type: Conference Paper

References (10)

1. J. Michalakes, J. Hacker, R.Loft, M. O. McCracken, A. Snavely, N. Wright, T. Spelce, B. Gorda, and B. Walkup. Wrf nature run. In proceedings of the 2007 ACM/IEEE conference on Super-computing, pages 1-6, 2007.
2. thWorkshop on High Performance Computing in Meteorology, World Scientific, 156-168.
3. J.Michalakes and M. Vachharajani. GPU acceleration of numerical weather prediction. In Workshop on Large Scale Parallel Processing 2008 (IPDPS2008), Miami, FL, April 18, 2008.
4. J. Delgado, J. Gazolla, E. Clua, and S. Masoud Sadjadi, An Incremental Approach to Porting Complex Scientific Allications to GPU/CUDA. EScience 2010.
5. G. Ruetsch, E. Phillips, and M. Fatica, GPU Acceleration of the Long-Wave Rapid Radiative Transfer Model in WRF using CUDA FORTRAN, Many-Core and Reconfigurable Supercomputing Conference 2010 (MRSC 2010), CASPUR, Rome, March 2010.
6. GPU Acceleration of NWP: Benchmark Kernels Web Page: http://www.mmm.ucar. edu/wrf/WG2/GPU/
7. Roe, K.; Stevens, D.: 'Maximizing Multi-core Performance of the Weather Research and Forecast Model over the Hawaiian Islands', Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, 2010. Ed.: S. Ryan, The Maui Economic Development Board., p.E66
8. Baghsorkhi, S.S., Delahaye, M., Patel, S.J., Gropp, W.D., and Hwu, W.-m.W.: 'An adaptive performance modeling tool for GPU architectures', SIGPLAN Not., 45, (5), pp. 105-114
9. Ryoo, S., Rodrigues, C.I., Baghsorkhi, S.S., Stone, S.S., Kirk, D.B., and Hwu, W.-m.W.: 'Optimization principles and application performance evaluation of a multithreaded GPU using CUDA', Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming, 2008, pp. 73-82
10. Hong, S., and Kim, H.: 'An integrated GPU power and performance model'. Proc. Proceedings of the 37th annual international symposium on Computer architecture, Saint-Malo, France pp. Pages 280-289.