Transparent grid enablement of weather research and forecasting

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

doi:10.1145/1341811.1341854

Transparent grid enablement of weather research and forecasting

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 ChenJavier Muñoz, Diego Lopez, Julita Corbalan, Hugh Willoughby, Michael McFail, Christine Lisetti, Malek Adjouadi

Computer & Cyber Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of the 15th ACM Mardi Gras Conference, MG '08
DOIs	https://doi.org/10.1145/1341811.1341854
State	Published - 2008
Event	15th ACM Mardi Gras Conference, MG '08 - Baton Rouge, LA, United States Duration: Jan 29 2008 → Feb 3 2008

Publication series

Name	ACM International Conference Proceeding Series
Volume	320

Other

Other	15th ACM Mardi Gras Conference, MG '08
Country/Territory	United States
City	Baton Rouge, LA
Period	1/29/08 → 2/3/08

Keywords

WRF
grid enablement
job flow management
meta-scheduling
modeling
portal
profiling
scientific applications

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/1341811.1341854

Cite this

Sadjadi, S. M., Fong, L., Badia, R. M., Figueroa, J., Delgado, J., Collazo-Mojica, X. J., Saleem, K., Rangaswami, R., Shimizu, S., Limon, H. A. D., Welsh, P., Pattnaik, S., Praino, A., Villegas, D., Kalayci, S., Dasgupta, G., Ezenwoye, O., Martinez, J. C., Rodero, I., ... Adjouadi, M. (2008). Transparent grid enablement of weather research and forecasting. In Proceedings of the 15th ACM Mardi Gras Conference, MG '08 Article 1341854 (ACM International Conference Proceeding Series; Vol. 320). https://doi.org/10.1145/1341811.1341854

Sadjadi, SM, Fong, L, Badia, RM, Figueroa, J, Delgado, J, Collazo-Mojica, XJ, Saleem, K, Rangaswami, R, Shimizu, S, Limon, HAD, Welsh, P, Pattnaik, S, Praino, A, Villegas, D, Kalayci, S, Dasgupta, G, Ezenwoye, O, Martinez, JC, Rodero, I, Chen, S, Muñoz, J, Lopez, D, Corbalan, J, Willoughby, H, McFail, M, Lisetti, C & Adjouadi, M 2008, Transparent grid enablement of weather research and forecasting. in Proceedings of the 15th ACM Mardi Gras Conference, MG '08., 1341854, ACM International Conference Proceeding Series, vol. 320, 15th ACM Mardi Gras Conference, MG '08, Baton Rouge, LA, United States, 1/29/08. https://doi.org/10.1145/1341811.1341854

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title = "Transparent grid enablement of weather research and forecasting",

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.",

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

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AU - Sadjadi, S. Masoud

AU - Fong, Liana

AU - Badia, Rosa M.

AU - Figueroa, Javier

AU - Delgado, Javier

AU - Collazo-Mojica, Xabriel J.

AU - Saleem, Khalid

AU - Rangaswami, Raju

AU - Shimizu, Shu

AU - Limon, Hector A.Duran

AU - Welsh, Pat

AU - Pattnaik, Sandeep

AU - Praino, Anthony

AU - Villegas, David

AU - Kalayci, Selim

AU - Dasgupta, Gargi

AU - Ezenwoye, Onyeka

AU - Martinez, Juan Carlos

AU - Rodero, Ivan

AU - Chen, Shuyi

AU - Muñoz, Javier

AU - Lopez, Diego

AU - Corbalan, Julita

AU - Willoughby, Hugh

AU - McFail, Michael

AU - Lisetti, Christine

AU - Adjouadi, Malek

PY - 2008

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N2 - 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.

AB - 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.

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ER -

Transparent grid enablement of weather research and forecasting

Abstract

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Keywords

ASJC Scopus subject areas

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