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1.发明公开公开(公告)号：US20240330681A1
公开(公告)日：2024-10-03
申请号：US18284396
申请日：2022-06-07
发明人： Xin YU , Yehao YU , Nan WANG , Yanjun ZHAO , Lingdong WU , Yongwei ZHAO , Yimin ZHUANG , Xiaobing CHEN
摘要： A device for optimizing parameters of a deep neural network is included in an integrated circuit apparatus. The integrated circuit apparatus includes a general interconnection interface and other processing apparatus. A computing apparatus interacts with other processing apparatus to jointly complete a computing operation specified by a user. The integrated circuit apparatus further includes a storage apparatus. The storage apparatus is connected to the computing apparatus and other processing apparatus, respectively. The storage apparatus is used for data storage of the computing apparatus and other processing apparatus.
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公开(公告)号：US20190385058A1
公开(公告)日：2019-12-19
申请号：US16537820
申请日：2019-08-12
发明人： Tianshi CHEN , Yimin ZHUANG , Daofu LIU , Xiaobing CHEN , Zai WANG , Shaoli LIU
摘要： The present application provides an operation device and related products. The operation device is configured to execute operations of a network model, wherein the network model includes a neural network model and/or non-neural network model; the operation device comprises an operation unit, a controller unit and a storage unit, wherein the storage unit includes a data input unit, a storage medium and a scalar data storage unit. The technical solution provided by this application has advantages of a fast computation speed and energy-saving.
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3.发明申请公开(公告)号：US20200050927A1
公开(公告)日：2020-02-13
申请号：US16658800
申请日：2019-10-21
发明人： Tianshi CHEN , Yimin ZHUANG , Qi GUO , Shaoli LIU , Yunji CHEN
摘要： Aspects of a neural network operation device are described herein. The aspects may include a matrix element storage module configured to receive a first matrix that includes one or more first values, each of the first values being represented in a sequence that includes one or more bits. The matrix element storage module may be further configured to respectively store the one or more bits in one or more storage spaces in accordance with positions of the bits in the sequence. The aspects may further include a numeric operation module configured to calculate an intermediate result for each storage space based on one or more second values in a second matrix and an accumulation module configured to sum the intermediate results to generate an output value.
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4.发明申请公开(公告)号：US20190311252A1
公开(公告)日：2019-10-10
申请号：US16440257
申请日：2019-06-13
发明人： Tianshi CHEN , Yimin ZHUANG , Qi GUO , Shaoli LIU , Yunji CHEN
摘要： Aspects of a neural network operation device are described herein. The aspects may include a matrix element storage module configured to receive a first matrix that includes one or more first values, each of the first values being represented in a sequence that includes one or more bits. The matrix element storage module may be further configured to respectively store the one or more bits in one or more storage spaces in accordance with positions of the bits in the sequence. The aspects may further include a numeric operation module configured to calculate an intermediate result for each storage space based on one or more second values in a second matrix and an accumulation module configured to sum the intermediate results to generate an output value.
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5.发明申请公开(公告)号：US20190311242A1
公开(公告)日：2019-10-10
申请号：US16440204
申请日：2019-06-13
发明人： Tianshi CHEN , Yimin ZHUANG , Qi GUO , Shaoli LIU , Yunji CHEN
摘要： Aspects of a neural network convolution device are described herein. The aspects may include a matrix transformer and a matrix multiplication module. The matrix transformer may be configured to receive an input data matrix and a weight matrix, transform the input data matrix into a transformed input data matrix based on a first transformation matrix, and transform the weight matrix into a transformed weight matrix based on a second transformation matrix. The matrix multiplication module may be configured to multiply one or more input data elements in the transformed input data matrix with one or more weight elements in the transformed weight matrix to generate an intermediate output matrix. The matrix transformer may be further configured to transform the intermediate output matrix into an output matrix based on an inverse transformation matrix.
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公开(公告)号：US20200034698A1
公开(公告)日：2020-01-30
申请号：US16476261
申请日：2018-04-17
发明人： Tianshi CHEN , Yimin ZHUANG , Daofu LIU , Xiaobin CHEN , Zai WANG , Shaoli LIU
摘要： The present application provides an operation device and related products. The operation device is configured to execute operations of a network model, wherein the network model includes a neural network model and/or non-neural network model; the operation device comprises an operation unit, a controller unit and a storage unit, wherein the storage unit includes a data input unit, a storage medium and a scalar data storage unit. The technical solution provided by this application has advantages of a fast calculation speed and energy-saving.
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公开(公告)号：US20190205739A1
公开(公告)日：2019-07-04
申请号：US16283711
申请日：2019-02-22
发明人： Shaoli LIU , Yimin ZHUANG , Qi GUO , Tianshi CHEN , Xiaobing CHEN , Tian ZHI , Zidong DU , Yifan HAO , Zai WANG , Wei LI , Lei ZHANG , Shuai HU
CPC分类号： G06N3/063 , G06F9/30025 , G06F9/30083 , G06F9/3802
摘要： The present disclosure provides an operation device, comprising: an operation module for executing a neural network operation; and a power conversion module connected to the operation module, for converting input neuron data and/or output neuron data of the neural network operation into power neuron data. The present disclosure further provides an operation method. The operation device and method according to the present disclosure reduce the cost of storage resources and computing resources and increase the operation speed.
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