J. Elliott, David Kelly, N. Best, M. Wilde, M. Glotter, Ian T Foster
{"title":"整合影响模型和部门的并行系统(pSIMS)","authors":"J. Elliott, David Kelly, N. Best, M. Wilde, M. Glotter, Ian T Foster","doi":"10.1145/2484762.2484814","DOIUrl":null,"url":null,"abstract":"We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data from various sources and standardizing them to a versatile and compact data type; b) tools for translating this standard data type into the custom formats required for point-based impact models in agriculture and forestry; c) a scalable parallel framework for performing large ensemble simulations on various computer systems, from small local clusters to supercomputers and even distributed grids and clouds; d) tools and data standards for reformatting outputs for easy analysis and visualization; and d) a methodology and tools for aggregating simulated measures to arbitrary spatial scales such as administrative districts (counties, states, nations) or relevant environmental demarcations such as watersheds and river-basins. We present the technical elements of this framework and the results of an example climate impact assessment and validation exercise that involved large parallel computations on XSEDE.","PeriodicalId":426819,"journal":{"name":"Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"136","resultStr":"{\"title\":\"The parallel system for integrating impact models and sectors (pSIMS)\",\"authors\":\"J. Elliott, David Kelly, N. Best, M. Wilde, M. Glotter, Ian T Foster\",\"doi\":\"10.1145/2484762.2484814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data from various sources and standardizing them to a versatile and compact data type; b) tools for translating this standard data type into the custom formats required for point-based impact models in agriculture and forestry; c) a scalable parallel framework for performing large ensemble simulations on various computer systems, from small local clusters to supercomputers and even distributed grids and clouds; d) tools and data standards for reformatting outputs for easy analysis and visualization; and d) a methodology and tools for aggregating simulated measures to arbitrary spatial scales such as administrative districts (counties, states, nations) or relevant environmental demarcations such as watersheds and river-basins. We present the technical elements of this framework and the results of an example climate impact assessment and validation exercise that involved large parallel computations on XSEDE.\",\"PeriodicalId\":426819,\"journal\":{\"name\":\"Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"136\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2484762.2484814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2484762.2484814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The parallel system for integrating impact models and sectors (pSIMS)
We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data from various sources and standardizing them to a versatile and compact data type; b) tools for translating this standard data type into the custom formats required for point-based impact models in agriculture and forestry; c) a scalable parallel framework for performing large ensemble simulations on various computer systems, from small local clusters to supercomputers and even distributed grids and clouds; d) tools and data standards for reformatting outputs for easy analysis and visualization; and d) a methodology and tools for aggregating simulated measures to arbitrary spatial scales such as administrative districts (counties, states, nations) or relevant environmental demarcations such as watersheds and river-basins. We present the technical elements of this framework and the results of an example climate impact assessment and validation exercise that involved large parallel computations on XSEDE.