{"title":"GRT角度偏移的5D数据映射问题","authors":"D. Merten, N. Ettrich","doi":"10.1109/HPCSim.2015.7237095","DOIUrl":null,"url":null,"abstract":"GRT angle migration is a ray-based method in seismic imaging, that provides direct access to the angle dependency of the reflection coefficient in the sub-surface. The implementation of this algorithm has become feasible by massive parallelism with fast access to large dataset. The parallelization strategy is described with respect to the underlying data mapping problem.","PeriodicalId":134009,"journal":{"name":"2015 International Conference on High Performance Computing & Simulation (HPCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"GRT angle migration a 5D data mapping problem\",\"authors\":\"D. Merten, N. Ettrich\",\"doi\":\"10.1109/HPCSim.2015.7237095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GRT angle migration is a ray-based method in seismic imaging, that provides direct access to the angle dependency of the reflection coefficient in the sub-surface. The implementation of this algorithm has become feasible by massive parallelism with fast access to large dataset. The parallelization strategy is described with respect to the underlying data mapping problem.\",\"PeriodicalId\":134009,\"journal\":{\"name\":\"2015 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2015.7237095\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2015.7237095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GRT angle migration is a ray-based method in seismic imaging, that provides direct access to the angle dependency of the reflection coefficient in the sub-surface. The implementation of this algorithm has become feasible by massive parallelism with fast access to large dataset. The parallelization strategy is described with respect to the underlying data mapping problem.