Invention Grant
- Patent Title: Neural network architecture using convolution engines
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Application No.: US16181559Application Date: 2018-11-06
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Publication No.: US11574171B2Publication Date: 2023-02-07
- Inventor: Christopher Martin
- Applicant: Imagination Technologies Limited
- Applicant Address: GB Kings Langley
- Assignee: Imagination Technologies Limited
- Current Assignee: Imagination Technologies Limited
- Current Assignee Address: GB Kings Langley
- Agency: Potomac Law Group, PLLC
- Agent Vincent M DeLuca
- Priority: GB1718358 20171106,GB1718359 20171106
- Main IPC: G06N3/063
- IPC: G06N3/063 ; G06F7/544 ; G06F17/15 ; G06N3/04

Abstract:
Hardware for implementing a Deep Neural Network (DNN) having a convolution layer. A plurality of convolution engines are each operable to perform a convolution operation by applying a filter to a data window, each filter comprising a set of weights for combination with respective data values of a data window, and each of the plurality of convolution engines comprising: multiplication logic operable to combine a weight of a filter with a respective data value of a data window; control logic configured to cause the multiplication logic to combine a weight with a respective data value if the weight is non-zero, and otherwise not cause the multiplication logic to combine that weight with that data value; and accumulation logic configured to accumulate the results of a plurality of combinations performed by the multiplication logic so as to form an output for a respective convolution operation.
Public/Granted literature
- US20190147324A1 Neural Network Architecture Using Convolution Engines Public/Granted day:2019-05-16
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