{"title":"计算生物电磁学的Austin基准套件:AIM性能数据","authors":"J. Massey, Ali E. YıiOlmaz","doi":"10.1109/APUSNCURSINRSM.2017.8072171","DOIUrl":null,"url":null,"abstract":"The adaptive integral method (AIM) is used to solve the basic, moderate, and hard classes of problems in the Austin Benchmark Suite for Computational Bioelectromagnetics. Performance data, including computational costs and errors, are shown for both fast and efficient simulations run on a supercomputer cluster.","PeriodicalId":264754,"journal":{"name":"2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting","volume":"202 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Austin benchmark suite for computational bioelectromagnetics: AIM performance data\",\"authors\":\"J. Massey, Ali E. YıiOlmaz\",\"doi\":\"10.1109/APUSNCURSINRSM.2017.8072171\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adaptive integral method (AIM) is used to solve the basic, moderate, and hard classes of problems in the Austin Benchmark Suite for Computational Bioelectromagnetics. Performance data, including computational costs and errors, are shown for both fast and efficient simulations run on a supercomputer cluster.\",\"PeriodicalId\":264754,\"journal\":{\"name\":\"2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting\",\"volume\":\"202 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APUSNCURSINRSM.2017.8072171\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APUSNCURSINRSM.2017.8072171","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Austin benchmark suite for computational bioelectromagnetics: AIM performance data
The adaptive integral method (AIM) is used to solve the basic, moderate, and hard classes of problems in the Austin Benchmark Suite for Computational Bioelectromagnetics. Performance data, including computational costs and errors, are shown for both fast and efficient simulations run on a supercomputer cluster.