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公开(公告)号:WO2023278078A1
公开(公告)日:2023-01-05
申请号:PCT/US2022/031076
申请日:2022-05-26
Applicant: MICRON TECHNOLOGY, INC.
Inventor: KALE, Poorna , TIKU, Saideep
IPC: G06N3/063 , G06N3/04 , G06N3/08 , G06F9/4881 , G06N3/045
Abstract: Multiple artificial neural networks can be compiled as a single workload. A respective throughput for each of the artificial neural networks can be changed at runtime. The multiple artificial neural networks can be partially compiled individually and then later compiled just-in-time according to changing throughput demands for the artificial neural networks. The multiple artificial neural networks can be deployed on a deep learning accelerator hardware device.
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公开(公告)号:WO2022231817A1
公开(公告)日:2022-11-03
申请号:PCT/US2022/023805
申请日:2022-04-07
Applicant: MICRON TECHNOLOGY, INC.
Inventor: KALE, Poorna , TIKU, Saideep
Abstract: An artificial neural network can be allocated to memory and operated. An error can occur in the memory and/or be detected in the memory. Layers of the artificial neural network can be remapped in the memory at least partially in response to the error. Performance of the artificial neural network can be evaluated before and/or after the remapping.
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公开(公告)号:WO2022231816A1
公开(公告)日:2022-11-03
申请号:PCT/US2022/023801
申请日:2022-04-07
Applicant: MICRON TECHNOLOGY, INC.
Inventor: KALE, Poorna , TIKU, Saideep
Abstract: An artificial neural network can be allocated to memory and operated. Performance of the artificial neural network can be periodically evaluated. The evaluation can include inputting a representative dataset to the artificial neural network and comparing an output of the artificial neural network to a known output for the representative dataset. The artificial neural network can be retrained at least partially in response to the evaluation yielding a sub-threshold result.
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公开(公告)号:WO2022109103A1
公开(公告)日:2022-05-27
申请号:PCT/US2021/059843
申请日:2021-11-18
Applicant: MICRON TECHNOLOGY, INC.
Inventor: TIKU, Saideep , KALE, Poorna
Abstract: Apparatuses and methods can be related to compiling instructions for implementing an artificial neural network (ANN) bypass. The bypass path can be used to bypass a portion of the ANN such that the ANN generates an output with a particular level of confidence while utilizing less resources than if the portion of the ANN had not been bypassed. A compiler can determine where to place the bypass path in an ANN.
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公开(公告)号:WO2022108693A1
公开(公告)日:2022-05-27
申请号:PCT/US2021/055343
申请日:2021-10-18
Applicant: MICRON TECHNOLOGY, INC.
Inventor: TIKU, Saideep , KALE, Poorna
Abstract: Apparatuses and methods can be related to implementing bypass paths in an ANN. The bypass path can be used to bypass a portion of the ANN such that the ANN generates an output with a particular level of confidence while utilizing less resources than if the portion of the ANN had not been bypassed.
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公开(公告)号:WO2022072163A1
公开(公告)日:2022-04-07
申请号:PCT/US2021/051169
申请日:2021-09-21
Applicant: MICRON TECHNOLOGY, INC.
Inventor: TIKU, Saideep , KALE, Poorna
Abstract: Apparatuses and methods can be related to implementing age-based network training. An artificial neural network (ANN) can be trained by introducing errors into the ANN. The errors and the quantity of errors introduced into the ANN can be based on age-based characteristics of the memory device.
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