Dynamic extensible convolutional neural network accelerator
A convolutional neural network and accelerator technology, applied in the fields of computing, calculation, and counting, which can solve problems such as reducing bandwidth, reducing neural network operation delay, and low latency.
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[0034] The present invention will be further clarified below in conjunction with specific examples. It should be understood that these examples are only used to illustrate the present invention and not to limit the scope of the present invention. After reading the present invention, those skilled in the art will understand various equivalent forms of the present invention. All modifications fall within the scope defined by the appended claims of this application.
[0035] Such as figure 1 As shown, the computing array of the Convolutional Neuron Processing Unit (CNPU) adopts a heterogeneous design. The CNPU calculation subsystem includes a calculation array MA-NPEA based on a multiply-add circuit, a calculation array LUT-NPEA based on a look-up table multiplier, and a shared memory between arrays (Shared Memory). Two for each calculation array. MA-NPEA is composed of basic circuits such as approximate multipliers and approximate adders, and is suitable for convolutional layers w...
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