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    Data processing accelerator having a local time unit to generate timestamps
    3.
    发明授权
    Data processing accelerator having a local time unit to generate timestamps 有权

    公开(公告)号：US11281251B2

    公开(公告)日：2022-03-22

    申请号：US16315924

    申请日：2019-01-04

    申请人： Baidu USA LLC ,  Baidu.com Times Technology (Beijing) Co., Ltd.

    发明人： Yong Liu ,  Yueqiang Cheng ,  Jian Ouyang ,  Tao Wei

    IPC分类号： G06F1/00 ,  G06F1/10 ,  G06F1/08 ,  G06F9/38 ,  H04L67/142

    摘要： According to one embodiment, a DP accelerator includes one or more execution units (EUs) configured to perform data processing operations in response to an instruction received from a host system coupled over a bus. The DP accelerator includes a security unit (SU) configured to establish and maintain a secure channel with the host system to exchange commands and data associated with the data processing operations. The DP accelerator includes a time unit (TU) coupled to the security unit to provide timestamp services to the security unit, where the time unit includes a clock generator to generate clock signals locally without having to derive the clock signals from an external source. The TU includes a timestamp generator coupled to the clock generator to generate a timestamp based on the clock signals, and a power supply to provide power to the clock generator and the timestamp generator.

    Method and system for providing secure communications between a host system and a data processing accelerator
    7.
    发明授权
    Method and system for providing secure communications between a host system and a data processing accelerator 有权

    公开(公告)号：US11328075B2

    公开(公告)日：2022-05-10

    申请号：US16315939

    申请日：2019-01-04

    申请人： Baidu USA LLC ,  Baidu.com Times Technology (Beijing) Co., Ltd.

    发明人： Yong Liu ,  Yueqiang Cheng ,  Jian Ouyang ,  Tao Wei

    IPC分类号： G06F21/62 ,  G06F13/16 ,  H04L29/06 ,  G06F21/60

    摘要： According to one embodiment, a system establishes a secure connection between a host system and a data processing (DP) accelerator over a bus, the secure connection including one or more data channels. The system transmits a first instruction from the host system to the DP accelerator over a command channel, the first instruction requesting the DP accelerator to perform a data preparation operation. The system receives a first request to read a first data from a first memory location of the host system from the DP accelerator over one data channel. In response to the request, the system transmits the first data to the DP accelerator over the data channel, where the first data is utilized for a computation or a configuration operation. The system transmits a second instruction from the host system to the DP accelerator over the command channel to perform the computation or the configuration operation.

    Method and system for artificial intelligence model training using a watermark-enabled kernel for a data processing accelerator
    10.
    发明授权
    Method and system for artificial intelligence model training using a watermark-enabled kernel for a data processing accelerator 有权

    公开(公告)号：US11709712B2

    公开(公告)日：2023-07-25

    申请号：US16598281

    申请日：2019-10-10

    申请人： Baidu USA LLC

    发明人： Yueqiang Cheng ,  Yong Liu

    IPC分类号： G06F9/50 ,  G06N5/04 ,  G06N20/10 ,  G06F21/16

    CPC分类号： G06F9/5027 ,  G06F21/16 ,  G06N5/04 ,  G06N20/10

    摘要： In one embodiment, a computer-implemented method performed by a data processing (DP) accelerator, includes receiving, at the DP accelerator, first data representing a set of training data from a host processor; receiving, at the DP accelerator, a watermark kernel from the host processor; and executing the watermark kernel within the DP accelerator on an artificial intelligence (AI) model. The watermark kernel, when executed, is configured to: generate a new watermark by inheriting an existing watermark from a data object of the set of training data, train the AI model using the set of training data, and implant the new watermark within the AI model during training of the AI model. The DP accelerator then transmits second data representing the trained AI model having the new watermark implanted therein to the host processor.