{"title":"细粒度并行管道Karhunen-Loeve变换","authors":"M. Fleury, Bob Self, A. Downton","doi":"10.1109/IPDPS.2003.1213476","DOIUrl":null,"url":null,"abstract":"A high-performance Karhunen-Loeve transform for multi-spectral imagery suitable for remote-sensing applications has been prototyped on a platform FPGA, by means of a PC-based development board. Performance estimates suggest that the design will already outperform implementation on a high-end microprocessor, given due attention to I/O (input/output). General conclusions are reached for the utility of this architecture for fine-grained parallel processing, when the design is extended to massively parallel processing.","PeriodicalId":177848,"journal":{"name":"Proceedings International Parallel and Distributed Processing Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A fine-grained parallel pipelined Karhunen-Loeve transform\",\"authors\":\"M. Fleury, Bob Self, A. Downton\",\"doi\":\"10.1109/IPDPS.2003.1213476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A high-performance Karhunen-Loeve transform for multi-spectral imagery suitable for remote-sensing applications has been prototyped on a platform FPGA, by means of a PC-based development board. Performance estimates suggest that the design will already outperform implementation on a high-end microprocessor, given due attention to I/O (input/output). General conclusions are reached for the utility of this architecture for fine-grained parallel processing, when the design is extended to massively parallel processing.\",\"PeriodicalId\":177848,\"journal\":{\"name\":\"Proceedings International Parallel and Distributed Processing Symposium\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Parallel and Distributed Processing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPS.2003.1213476\",\"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 International Parallel and Distributed Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPS.2003.1213476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fine-grained parallel pipelined Karhunen-Loeve transform
A high-performance Karhunen-Loeve transform for multi-spectral imagery suitable for remote-sensing applications has been prototyped on a platform FPGA, by means of a PC-based development board. Performance estimates suggest that the design will already outperform implementation on a high-end microprocessor, given due attention to I/O (input/output). General conclusions are reached for the utility of this architecture for fine-grained parallel processing, when the design is extended to massively parallel processing.
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