Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community
Christos I. Efstathiou,Elizabeth Adams,Carlie J. Coats,Robert Zelt,Mark Reed,John McGee,Kristen M. Foley,Fahim I. Sidi,David C. Wong,Steven Fine,and Saravanan Arunachalam
Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27709, USA
Fahim I. Sidi
Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27709, USA
David C. Wong
Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27709, USA
We present a summary of enabling high-performance computing of the Community Multiscale Air Quality Model (CMAQ) – a state-of-the-science community multiscale air quality model – on two cloud computing platforms through documenting the technologies, model performance, scaling and relative merits. This may be a new paradigm for computationally intense future model applications. We initiated this work due to a need to leverage cloud computing advances and to ease the learning curve for new users.
We present a summary of enabling high-performance computing of the Community Multiscale Air...