Performance Evaluation of WRF Meteorology Model in Parallel Processing Systems
Publish place: 5th Symposium on Advances in Science and Technology
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
SASTECH05_138
تاریخ نمایه سازی: 22 مرداد 1391
Abstract:
Parallel processing and distributed systems, have efficient role in different sciences such as meteorology, medicine, nuclear, physics, chemistry, etc. These sciences need parallel processing systems based on cluster to solve and run their algorithms with a higher speed. Some tools and models exist for parallel programming such as shared memory, message passing, oriented model, hybrid model, java, but message passing by MPI library plays an essential role in cluster systems. In this paper, we have presented WRF model with a message passing interface. We have implemented parallel algorithm of this model in a real cluster and evaluated the results in comparison with different forecasting models. Experimental results demonstrated that by increasing the number of processors to 24, run time decreases from 2500 seconds to 600 seconds, however the performance decrease to 17%.
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Authors
MohammadReza Majma
Islamic Azad University, Pardis Branch
Hossein Pedram
Amirkabir University of Technology, Computer Engineering Department
Bijan Fallahi
National Cloud Seeding Research Center (NACSER)
Sanaz Almassi
Iran University of Science and Technology, Computer engineering Department
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