Kyle Gupton, L. Wenzel, A. Veeramani, M. Ravindran
{"title":"基于在线高性能计算的超大望远镜反射镜系统实时控制","authors":"Kyle Gupton, L. Wenzel, A. Veeramani, M. Ravindran","doi":"10.1109/RTC.2010.5750461","DOIUrl":null,"url":null,"abstract":"Many Big Physics applications require an enormous amount of computational power to solve large problems with demanding real-time constraints. Typically, a large number of data channels acquired in real-time feed mathematical routines that generate outputs that act on real-world processes. The number of sensor and actuator channels can be in the 100–100,000 range, and the mathematical routines can be as sophisticated as real-time solving of non-linear partial differential equations. The time constraints are often in the 1 ms range, or faster, per cycle.","PeriodicalId":345878,"journal":{"name":"2010 17th IEEE-NPSS Real Time Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing\",\"authors\":\"Kyle Gupton, L. Wenzel, A. Veeramani, M. Ravindran\",\"doi\":\"10.1109/RTC.2010.5750461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many Big Physics applications require an enormous amount of computational power to solve large problems with demanding real-time constraints. Typically, a large number of data channels acquired in real-time feed mathematical routines that generate outputs that act on real-world processes. The number of sensor and actuator channels can be in the 100–100,000 range, and the mathematical routines can be as sophisticated as real-time solving of non-linear partial differential equations. The time constraints are often in the 1 ms range, or faster, per cycle.\",\"PeriodicalId\":345878,\"journal\":{\"name\":\"2010 17th IEEE-NPSS Real Time Conference\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 17th IEEE-NPSS Real Time Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTC.2010.5750461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 17th IEEE-NPSS Real Time Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTC.2010.5750461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time control of Extremely Large Telescope mirror systems using on-line high performance computing
Many Big Physics applications require an enormous amount of computational power to solve large problems with demanding real-time constraints. Typically, a large number of data channels acquired in real-time feed mathematical routines that generate outputs that act on real-world processes. The number of sensor and actuator channels can be in the 100–100,000 range, and the mathematical routines can be as sophisticated as real-time solving of non-linear partial differential equations. The time constraints are often in the 1 ms range, or faster, per cycle.