PipeSC: a split computing framework for pipeline implementations considering independent input batch sizes

Split computing has gained attention in deep learning as a scheme for edge computing. Split computing splits a model into head and tail models. The head model is executed on the local device and its output sent to the edge server. This output forms the input to the tail model that resides on the edg...

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書目詳細資料
主要作者: Zhu, Zhentao
其他作者: Tay Wee Peng
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2024
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在線閱讀:https://hdl.handle.net/10356/181324
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機構: Nanyang Technological University
語言: English