{"title":"完美风暴:dsa拥抱基于gpu的计算机视觉深度学习","authors":"M. Pias, S. Botelho, Paulo L. J. Drews-Jr","doi":"10.1109/SIBGRAPI-T.2019.00007","DOIUrl":null,"url":null,"abstract":"This paper explores Domain-Specific Deep Learning Architectures for GPU Computer Vision through a \"brainstorming\" approach on selected hands-on topics in the area. We intend to discuss Deep Neural Networks (DNNs) to image classification problems through tools, frameworks and data pipelines commonly used to train and deploy DNNs in GPUs and Domain-Specific Architectures (DSAs).","PeriodicalId":371584,"journal":{"name":"2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Perfect Storm: DSAs Embrace Deep Learning for GPU-Based Computer Vision\",\"authors\":\"M. Pias, S. Botelho, Paulo L. J. Drews-Jr\",\"doi\":\"10.1109/SIBGRAPI-T.2019.00007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores Domain-Specific Deep Learning Architectures for GPU Computer Vision through a \\\"brainstorming\\\" approach on selected hands-on topics in the area. We intend to discuss Deep Neural Networks (DNNs) to image classification problems through tools, frameworks and data pipelines commonly used to train and deploy DNNs in GPUs and Domain-Specific Architectures (DSAs).\",\"PeriodicalId\":371584,\"journal\":{\"name\":\"2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBGRAPI-T.2019.00007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials (SIBGRAPI-T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBGRAPI-T.2019.00007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Perfect Storm: DSAs Embrace Deep Learning for GPU-Based Computer Vision
This paper explores Domain-Specific Deep Learning Architectures for GPU Computer Vision through a "brainstorming" approach on selected hands-on topics in the area. We intend to discuss Deep Neural Networks (DNNs) to image classification problems through tools, frameworks and data pipelines commonly used to train and deploy DNNs in GPUs and Domain-Specific Architectures (DSAs).
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