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pro vyhledávání: '"Padmanabhan, Arthi"'
Edge AI computing boxes are a new class of computing devices that are aimed to revolutionize the AI industry. These compact and robust hardware units bring the power of AI processing directly to the source of data--on the edge of the network. On the
Externí odkaz:
http://arxiv.org/abs/2410.21120
Nowadays, cloud-based services are widely favored over the traditional approach of locally training a Neural Network (NN) model. Oftentimes, a cloud service processes multiple requests from users--thus training multiple NN models concurrently. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.01331
Autor:
Yu, Shan, Zhu, Zhenting, Chen, Yu, Xu, Hanchen, Zhao, Pengzhan, Wang, Yang, Padmanabhan, Arthi, Latapie, Hugo, Xu, Harry
Video analytics is widely used in contemporary systems and services. At the forefront of video analytics are video queries that users develop to find objects of particular interest. Building upon the insight that video objects (e.g., human, animals,
Externí odkaz:
http://arxiv.org/abs/2311.01623
Autor:
Padmanabhan, Arthi, Agarwal, Neil, Iyer, Anand, Ananthanarayanan, Ganesh, Shu, Yuanchao, Karianakis, Nikolaos, Xu, Guoqing Harry, Netravali, Ravi
Video analytics pipelines have steadily shifted to edge deployments to reduce bandwidth overheads and privacy violations, but in doing so, face an ever-growing resource tension. Most notably, edge-box GPUs lack the memory needed to concurrently house
Externí odkaz:
http://arxiv.org/abs/2201.07705
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