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公开(公告)号:US20230121052A1
公开(公告)日:2023-04-20
申请号:US17966469
申请日:2022-10-14
Inventor: Young Bin KIM , Jin Ah SHIN , Chae Deok LIM , Kyung Il KIM , Beob Kyun KIM , Duk Kyun WOO , Dong Wan RYOO , Yoo Jin LIM , Yang Jae JEONG , Su Jung HA
Abstract: A resource resettable deep neural network accelerator according to an embodiment of the present disclosure includes: a memory layer including a scratchpad memory layer configured to divide deep neural network parameter data (hereinafter, data) in an external memory layer into a plurality of tiles and to load the divided tiles, and a register file memory layer configured to load tiled data of the scratchpad memory layer; and a plurality of cores configured to process an inference operation for the data loaded in the register file memory layer, wherein the memory layer includes a virtual tiling layer added to a certain location for loading the tiled data from a previous memory layer so as to correspond to a specific tiling size.
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公开(公告)号:US20230239548A1
公开(公告)日:2023-07-27
申请号:US18091030
申请日:2022-12-29
Inventor: Beob Kyun KIM , Chae Deok LIM , Kyung Il KIM , Young Bin KIM , Jin Ah SHIN , Duk Kyun WOO , Dong Wan RYOO , Yoo Jin LIM , Yang Jae JEONG , Su Jung HA
IPC: H04N21/84 , G06F16/58 , G06F40/205 , G06V20/17
CPC classification number: H04N21/84 , G06F16/5866 , G06F40/205 , G06V20/17
Abstract: Provided is a method and apparatus for registering metadata regarding a drone image. The apparatus for registering metadata regarding a drone image acquires captured data, and parses metadata from the captured data. The apparatus for registering metadata regarding a drone image generates new metadata using additional information and the parsed metadata, and registers the generated new metadata and the captured data to generate new captured data.
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公开(公告)号:US20250131155A1
公开(公告)日:2025-04-24
申请号:US18679870
申请日:2024-05-31
Inventor: Kwang Yong LEE , Young Bin KIM , Yoo Jin LIM , Chae Deok LIM , Jung Eun CHA
IPC: G06F30/20
Abstract: Proposed are an apparatus and a method for simulating charge and discharge energy in an intermittent computing system. Specifically, an operation method for simulating power instability in intermittent computing includes receiving at least one selected from a group of energy storage and SBC standard information of an intermittent computing system, energy consumption information for an application program of the intermittent computing system, and illuminance information, and generating an intermittent computing charge and discharge energy scenario model on the basis of the received information, and performing intermittent computing energy simulation on the basis of the generated model, and identifying whether a result of the simulation is appropriate.
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