Transparent grid enablement of weather research and forecasting

  • Authors:

  • S. Masoud Sadjadi;Liana Fong;Rosa M. Badia;Javier Figueroa;Javier Delgado;Xabriel J. Collazo-Mojica;Khalid Saleem;Raju Rangaswami;Shu Shimizu;Hector A. Duran Limon;Pat Welsh;Sandeep Pattnaik;Anthony Praino;David Villegas;Selim Kalayci;Gargi Dasgupta;Onyeka Ezenwoye;Juan Carlos Martinez;Ivan Rodero;Shuyi Chen;Javier Muñoz;Diego Lopez;Julita Corbalan;Hugh Willoughby;Michael McFail;Christine Lisetti;Malek Adjouadi

  • Affiliations:

  • Florida International University (FIU), Miami, Florida;IBM T. J. Watson, NY;Barcelona Supercomputing Center, Barcelona, Spain;Florida International University (FIU), Miami, Florida and University of Miami, Coral Gables, Florida;Florida International University (FIU), Miami, Florida;University of Puerto Rico, Mayaguez Campus, Puerto Rico;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;IBM Tokyo Research Laboratory, Tokyo, Japan;University of Guadalajara, CUCEA, Mexico;University of North Florida, Jacksonville, Florida;Florida State University, Tallahassee, Florida;IBM T. J. Watson, NY;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;IBM IRL, India;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;Barcelona Supercomputing Center, Barcelona, Spain;University of Miami, Coral Gables, Florida;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;Barcelona Supercomputing Center, Barcelona, Spain;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida;Florida International University (FIU), Miami, Florida

  • Venue:
  • Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities
  • Year:
  • 2008

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Abstract

The impact of hurricanes is so devastating throughout different levels of society that there is a pressing need to provide a range of users with accurate and timely information that can enable effective planning for and response to potential hurricane landfalls. The Weather Research and Forecasting (WRF) code is the latest numerical model that has been adopted by meteorological services worldwide. The current version of WRF has not been designed to scale out of a single organization's local computing resources. However, the high resource requirements of WRF for fine-resolution and ensemble forecasting demand a large number of computing nodes, which typically cannot be found within one organization. Therefore, there is a pressing need for the Grid-enablement of the WRF code such that it can utilize resources available in partner organizations. In this paper, we present our research on Grid enablement of WRF by leveraging our work in transparent shaping, GRID superscalar, profiling, code inspection, code modeling, meta-scheduling, and job flow management.