{"title":"基于CPUGPU异构平台的实时SAR成像系统","authors":"Yewei Wu, Jun Chen, Hongqun Zhang","doi":"10.1109/ICOSP.2012.6491524","DOIUrl":null,"url":null,"abstract":"With the features of exceptional computing power, low-cost, low power consumption characteristics, the CPU-GPU heterogeneous platform provides an alternative choice for high performance parallel computing. This paper introduces an efficient SAR imaging system design and implementation, which is based on such heterogeneous platform. Tested with Envisat ASAR raw data, the system meets the demands of real-time SAR processing. Furthermore, GPU-based imaging results in a 13 times speed up than multithreaded CPU implementation.","PeriodicalId":143331,"journal":{"name":"2012 IEEE 11th International Conference on Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A real-time SAR imaging system based on CPUGPU heterogeneous platform\",\"authors\":\"Yewei Wu, Jun Chen, Hongqun Zhang\",\"doi\":\"10.1109/ICOSP.2012.6491524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the features of exceptional computing power, low-cost, low power consumption characteristics, the CPU-GPU heterogeneous platform provides an alternative choice for high performance parallel computing. This paper introduces an efficient SAR imaging system design and implementation, which is based on such heterogeneous platform. Tested with Envisat ASAR raw data, the system meets the demands of real-time SAR processing. Furthermore, GPU-based imaging results in a 13 times speed up than multithreaded CPU implementation.\",\"PeriodicalId\":143331,\"journal\":{\"name\":\"2012 IEEE 11th International Conference on Signal Processing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 11th International Conference on Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSP.2012.6491524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 11th International Conference on Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2012.6491524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A real-time SAR imaging system based on CPUGPU heterogeneous platform
With the features of exceptional computing power, low-cost, low power consumption characteristics, the CPU-GPU heterogeneous platform provides an alternative choice for high performance parallel computing. This paper introduces an efficient SAR imaging system design and implementation, which is based on such heterogeneous platform. Tested with Envisat ASAR raw data, the system meets the demands of real-time SAR processing. Furthermore, GPU-based imaging results in a 13 times speed up than multithreaded CPU implementation.
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