{"title":"现场演示:在gpu上计算基于峰值的卷积","authors":"J. Nageswaran, N. Dutt, Yingxue Wang, T. Delbrück","doi":"10.1109/ISCAS.2009.5118158","DOIUrl":null,"url":null,"abstract":"This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.","PeriodicalId":388394,"journal":{"name":"2009 IEEE International Symposium on Circuits and Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Live demonstration: Computing spike-based convolutions on GPUs\",\"authors\":\"J. Nageswaran, N. Dutt, Yingxue Wang, T. Delbrück\",\"doi\":\"10.1109/ISCAS.2009.5118158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.\",\"PeriodicalId\":388394,\"journal\":{\"name\":\"2009 IEEE International Symposium on Circuits and Systems\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Symposium on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.2009.5118158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2009.5118158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Live demonstration: Computing spike-based convolutions on GPUs
This demonstration shows the first implementation of a real-time spike-based convolution processing system which combines a spike based dynamic vision sensor (DVS) with parallel graphics processor unit (GPU) computation. Moving objects with different features (shape and size) are presented to the system. In the first demo, the system responses in real time to recognize and keep track of one user specified object and ignore the others. In the second one, the system concurrently extracts several features, and labels the outputs with different colors. Users will enjoy the real-time response and learn about using spike-based sensors combined with conventional procedural processing.