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公开(公告)号:US20230214646A1
公开(公告)日:2023-07-06
申请号:US17856569
申请日:2022-07-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: CHAN-HYUN YOUN , KYUNGCHAE LEE , LINH LE VU , HEEJAE KIM
Abstract: A method for searching deep neural network architecture for computation offloading in a computing environment is provided. The method comprises configuring a target deep network including a plurality of computation cells, each computation cell including a plurality of nodes, a weight between each node of the plurality of nodes, and an operation selector that selects a candidate operation between each node of the plurality of nodes, partitioning the plurality of computation cells into a first portion in which the computation is performed on the first device and a second portion in which the computation is performed on the second device, the first portion including a transmission cell, and the transmission cell including a resource selector that determines whether each computation inside the transmission cell is processed by the first device or the second device, and a channel selector which determines a channel through which a computation result processed by the first device is transmitted to the second device, and updating the weight, the operation selector, the resource selector, and the channel selector.