摘要: Deep neural networks (DNNs) are increasingly used for real-time inference, requiring low latency, but require significant computational power as they continue to increase in complexity. Edge clouds promise to offer lower latency d... 展开
作者 | Aditya Dhakal Sameer G Kulkarni K. K. Ramakrishnan | ||
---|---|---|---|
作者单位 | |||
文集名称 | 2021 IEEE 14th International Conference on Cloud Computing | ||
出版年 | 2021 | ||
会议名称 | IEEE International Conference on Cloud Computing | ||
页码 | 53-64 | 开始页/总页数 | 00000053 / 12 |
会议地点 | Chicago(US) | 会议年/会议届次 | 2021 / 14th |
关键词 | Cloud computing Processor scheduling Computational modeling Graphics processing units Throughput Software Real-time systems | ||
馆藏号 | IEL32695 (9582150) |