Enhancement of WRF Model Using CUDA

Authors

  • Ashish Maharjan Mechanical Engineer, COAC, Germany
  • Ashish Shakya Kathmandu Model College, Bagbazar, Kathmandu, Nepal

DOI:

https://doi.org/10.3126/idjina.v1i1.51963

Keywords:

compute unified device architecture, graphical processing unit, microphysics, object, weather research, forecasting

Abstract

The main aim of this paper is to implement and run WRF (Weather Research and Forecasting) model on Graphical Processing Unit (GPU) with the help of NVidia’s CUDA (Compute Unified Device Architecture) in a normal machine. Without GPU, the model needs high-end systems to be executed smoothly. For this, CUDA code is executed for a particular microphysics module to create an object file which is then added to the WRF model. Later the object file is executed on the GPU with the help of CUDA.

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Author Biographies

Ashish Maharjan, Mechanical Engineer, COAC, Germany

Ashish Maharjan is a Mechanical Engineer who is currently working at COAC, Germany. He has completed M. Tech. in Computer Science and Engineering from Sikkim Manipal Institute of Technology. He has also published a research paper in a journal of Taylor and Francis Group. His area of interest is Machine Learning and Deep Learning.
Email: maharjanashish56@gmail.com

Ashish Shakya, Kathmandu Model College, Bagbazar, Kathmandu, Nepal

Ashish Shakya teaches the courses in computer application and IT in Kathmandu Model College, Tu. He has completed Master of Technology in Computer Science and Engineering in the field of Artificial Intelligence and is in touch with Department of Space, North Eastern Space Application Center (NE-SAC), Sillong, India. His areas of interest are Artificial Intelligence, Deep Learning, Machine Learning, 3D Sculpting and Animation.
Email: ashishshakya110@gmail.com

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Published

2022-12-31

How to Cite

Maharjan, A., & Shakya, A. (2022). Enhancement of WRF Model Using CUDA. Interdisciplinary Journal of Innovation in Nepalese Academia, 1(1), 16–22. https://doi.org/10.3126/idjina.v1i1.51963

Issue

Section

Part I: Management, Social & Computer Science