{"title":"A numeric weather prediction model for the IBM SP2 parallel computer","authors":"Glenn R. Wightwick, L. Leslie, S. F. Wail","doi":"10.1109/ICAPP.1995.472191","DOIUrl":null,"url":null,"abstract":"A limited-area numeric weather prediction model specifically targeted for parallel computers has been successfully implemented an an IBM SP2 distributed-memory parallel computer. The model employs an explicit finite-difference scheme and was parallelised using a simple domain decomposition technique. On a twelve processor SP2, a 24 hour forecast using archived operational data and including a sophisticated representation of physical processes was run at a range of resolutions between 150 km and 19 km and near-linear speedups were achieved. Major weather centres have indicated a requirement for regional prediction models to be run at resolutions of approximately 5 km by the end of the decade. Based on this work, it appears that this target can be achieved through the use of scalable parallel computers.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A limited-area numeric weather prediction model specifically targeted for parallel computers has been successfully implemented an an IBM SP2 distributed-memory parallel computer. The model employs an explicit finite-difference scheme and was parallelised using a simple domain decomposition technique. On a twelve processor SP2, a 24 hour forecast using archived operational data and including a sophisticated representation of physical processes was run at a range of resolutions between 150 km and 19 km and near-linear speedups were achieved. Major weather centres have indicated a requirement for regional prediction models to be run at resolutions of approximately 5 km by the end of the decade. Based on this work, it appears that this target can be achieved through the use of scalable parallel computers.<>