Cloud deep neural network optimization method based on CPU and FPGA cooperative computing
A deep neural network and optimization method technology, applied in the field of computer architecture design, can solve the problems of high data communication overhead, poor flexibility, and low cost performance, and achieve the effects of reducing power consumption, improving performance, and low price
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[0019] In order to clearly illustrate the technical characteristics of this solution, the following describes the present invention in detail through specific implementations and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. The present invention omits descriptions of well-known components and processing techniques and processes to avoid unnecessarily limiting the present invention.
[0020] The present invention provides an optimization method for implementing a deep neural network on a server component. The server component includes a host component with a CPU and a hardware acceleration component connected to the host component; the deep neural network includes multiple layers. The method includes: dividing into two parts suitable for the front and rear ends. The front end will receive the data in the form of data stream, and the DDR will s...
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