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公开(公告)号：US20210192337A1
公开(公告)日：2021-06-24
申请号：US16724849
申请日：2019-12-23
Applicant: Arm Limited
Inventor： Danny Daysang Loh , Lingchuan Meng , Naveen Suda , Eric Kunze , Ahmet Fatih Inci
Abstract: The present disclosure advantageously provides a heterogenous system, and a method for generating an artificial neural network (ANN) for a heterogenous system. The heterogenous system includes a plurality of processing units coupled to a memory configured to store an input volume. The plurality of processing units includes first and second processing units. The first processing unit includes a first processor and is configured to execute a first ANN, and the second processing unit includes a second processor and is configured to execute a second ANN. The first and second ANNs respectively include an input layer, at least one processor-optimized hidden layer and an output layer. The second ANN hidden layers are different than the first ANN hidden layers.
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公开(公告)号：US11620516B2
公开(公告)日：2023-04-04
申请号：US16724849
申请日：2019-12-23
Applicant: Arm Limited
Inventor： Danny Daysang Loh , Lingchuan Meng , Naveen Suda , Eric Kunze , Ahmet Fatih Inci
Abstract: The present disclosure advantageously provides a heterogenous system, and a method for generating an artificial neural network (ANN) for a heterogenous system. The heterogenous system includes a plurality of processing units coupled to a memory configured to store an input volume. The plurality of processing units includes first and second processing units. The first processing unit includes a first processor and is configured to execute a first ANN, and the second processing unit includes a second processor and is configured to execute a second ANN. The first and second ANNs respectively include an input layer, at least one processor-optimized hidden layer and an output layer. The second ANN hidden layers are different than the first ANN hidden layers.
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