Yonsei University

Bogil Kim

Chanho Park

William Jinho Song

Semin Koong

Taesoo Lim

Provided is a control method of a deep neural network (DNN) accelerator for optimized data processing. The control method includes, based on a dataflow and a hardware mapping value of neural network data allocated to a first-level memory, calculating a plurality of offsets representing start components of a plurality of data tiles of the neural network data, based on receiving an update request for the neural network data from a second-level memory, identifying a data type of an update data tile corresponding to the received update request among the plurality of data tiles, identifying one or more components of the update data tile, based on the data type of the update data tile and an offset of the update data tile among the calculated plurality of offsets, and updating neural network data of the identified one or more components between the first-level memory and the second-level memory.

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Seoul, South Korea

Bogil Kim