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公开(公告)号：US20220261634A1
公开(公告)日：2022-08-18
申请号：US17547972
申请日：2021-12-10
发明人： Shaoli LIU , Xiaofu MENG , Xishan ZHANG , Jiaming GUO , Di HUANG , Yao ZHANG , Yu CHEN , Chang LIU
摘要： The technical solution involves a board card including a storage component, an interface apparatus, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface apparatus, respectively; the storage component is used to store data; the interface apparatus is used to implement data transfer between the artificial intelligence chip and an external device; and the control component is used to monitor a state of the artificial intelligence chip. The board card is used to perform an artificial intelligence operation.
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公开(公告)号：US20220156216A1
公开(公告)日：2022-05-19
申请号：US17564398
申请日：2021-12-29
发明人： Yao ZHANG , Shaoli LIU , Jun LIANG , Yu CHEN
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system, and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US20220138138A1
公开(公告)日：2022-05-05
申请号：US17564389
申请日：2021-12-29
发明人： Yao ZHANG , Shaoli LIU , Jun LIANG , Yu CHEN
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US20220121601A1
公开(公告)日：2022-04-21
申请号：US17564509
申请日：2021-12-29
发明人： Shaoli LIU , Zhen LI , Yao ZHANG
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US20220108150A1
公开(公告)日：2022-04-07
申请号：US17554521
申请日：2021-12-17
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
摘要： Embodiments of the present disclosure relate to a method and an apparatus for processing data, and related products. The embodiments of the present disclosure provide a board card including a storage component, an interface device, a control component, and an artificial intelligence chip. The artificial intelligence chip is connected to the storage component, the control component, and the interface device, respectively; the storage component is configured to store data; the interface device is configured to implement data transfer between the artificial intelligence chip and external equipment; and the control component is configured to monitor a state of the artificial intelligence chip. The board card is configured to perform artificial intelligence operations.
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公开(公告)号：US20200160221A1
公开(公告)日：2020-05-21
申请号：US16715170
申请日：2019-12-16
发明人： Yao ZHANG , Bingrui WANG
摘要： The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.
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公开(公告)号：US20220121599A1
公开(公告)日：2022-04-21
申请号：US17564431
申请日：2021-12-29
发明人： Shaoli LIU , Zhen LI , Yao ZHANG
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US20220083909A1
公开(公告)日：2022-03-17
申请号：US17361633
申请日：2021-06-29
发明人： Yao ZHANG , Guang JIANG , Xishan ZHANG , Shiyi ZHOU , Di HUANG , Chang LIU , Jiaming GUO
IPC分类号： G06N20/00
摘要： The present disclosure relates to a method, a device, and related products for processing data. In an embodiment of the present disclosure, when processing data related to a neural network, an optimal truncation threshold value for a plurality of pieces of data is determined. The data is truncated through the truncation data threshold, and the plurality of pieces of data is quantized from a high-precision format to a low-precision format. The method in the present disclosure can ensure the precision of data processing as high as possible while reducing the amount of data processing. In addition, the method also helps to significantly reduce the amount of data transmission, thereby greatly accelerating the data exchange among a plurality of computing devices.
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公开(公告)号：US20220035762A1
公开(公告)日：2022-02-03
申请号：US17278812
申请日：2019-10-18
发明人： Yao ZHANG , Shaoli LIU , Jun LIANG , Yu CHEN
摘要： The present application relates to a network-on-chip data processing method. The method is applied to a network-on-chip processing system, the network-on-chip processing system is used for executing machine learning calculation, and the network-on-chip processing system comprises a storage device and a calculation device. The method comprises: accessing the storage device in the network-on-chip processing system by means of a first calculation device in the network-on-chip processing system, and obtaining first operation data; performing an operation on the first operation data by means of the first calculation device to obtain a first operation result; and sending the first operation result to a second calculation device in the network-on-chip processing system. According to the method, operation overhead can be reduced and data read/write efficiency can be improved.
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公开(公告)号：US20200159530A1
公开(公告)日：2020-05-21
申请号：US16714899
申请日：2019-12-16
发明人： Yao ZHANG , Bingrui WANG
IPC分类号： G06F9/30
摘要： The present disclosure provides a computation device. The computation device is configured to perform a machine learning computation, and includes an operation unit, a controller unit, and a conversion unit. The storage unit is configured to obtain input data and a computation instruction. The controller unit is configured to extract and parse the computation instruction from the storage unit to obtain one or more operation instructions, and to send the one or more operation instructions and the input data to the operation unit. The operation unit is configured to perform operations on the input data according to one or more operation instructions to obtain a computation result of the computation instruction. In the examples of the present disclosure, the input data involved in machine learning computations is represented by fixed-point data, thereby improving the processing speed and efficiency of training operations.
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