学术报告 mobile deep neural network inference in edge computing-j9登录网址

南京大学计算机科学与技术系

软件新技术与产业化协同创新中心

摘 要：

implementing deep neural network (dnn) applications usually requires powerful computing resources to process a large amount of data. in the mobile edge computing environment, edge devices have limited capacity and the dnn application further suffers from issues of the wireless connection, e.g., handovers, service outage, etc. without properly addressing these issues, the wider application of dnn in practice will seriously be hindered. in this talk, i will address several key challenging problems in effective deployment and efficient execution of dnn models in the mobile edge computing environment.

报告人简介:

dong yuan is a senior lecturer from the school of electrical and information engineering, the university of sydney. he received the b. eng. degree and m. eng. degree from shandong university, jinan, china, in 2005 and 2008, the phd degree from swinburne university of technology, melbourne, australia, in 2012, all in computer science. his research interests include cloud and edge computing, parallel and distributed systems, scheduling and resource management, internet of things, big data and artificial intelligence. he has published over 80 papers in top journals and conferences including tpds, tc, tosem, tifs, icdcs, ipdps, mobihoc, aaai, cikm, etc.

时间：12月20日 14:00-16:00

地点：计算机科学技术楼231室