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Mapping scheme optimization method and device, electronic equipment and readable storage medium

A technology of mapping scheme and optimization method, applied in the field of artificial intelligence, can solve the problems of large amount of data transmission and affect the efficiency of neural network of many-core systems, and achieve the effect of achieving cohesion, reducing data transmission, and reducing routing pressure.

Pending Publication Date: 2022-08-09
LYNXI TECH CO LTD
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the data transfer between processing cores is realized through the routing system (on-chip network) of the many-core system, and the neural network itself has a large amount of data transfer, resulting in a large amount of data transfer between processing cores, the unprocessed mapping scheme Affects the efficiency with which many-core systems execute neural networks

Method used

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  • Mapping scheme optimization method and device, electronic equipment and readable storage medium
  • Mapping scheme optimization method and device, electronic equipment and readable storage medium
  • Mapping scheme optimization method and device, electronic equipment and readable storage medium

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Embodiment Construction

[0032] In order for those skilled in the art to better understand the technical solutions of the present disclosure, the exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, and they should be considered to be exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted from the following description for clarity and conciseness.

[0033] Various embodiments of the present disclosure and various features of the embodiments may be combined with each other without conflict.

[0034] As used herein, the term "and / or" includes any and all combinations of one or more of the associ...

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Abstract

The invention provides a mapping scheme optimization method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining an initial first mapping scheme which is used for mapping a to-be-executed first neural network to a plurality of processing cores of a many-core system, each processing core is used for executing at least one neuron of the first neural network, and the first mapping scheme comprises inter-core connection among the processing cores; reconstructing the inter-core connection in the mapping scheme of the (n-1) th inter-core reconstruction to obtain a mapping scheme of the nth inter-core reconstruction; judging whether the nth inter-core reconstruction mapping scheme meets an inter-core optimization condition or not; and determining an optimized second mapping scheme according to the nth inter-core reconstruction mapping scheme under the condition that the nth inter-core reconstruction mapping scheme meets a preset inter-core optimization condition. According to the embodiment of the invention, data transmission between cores can be reduced, and the routing pressure of a many-core system is relieved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular, to a method and apparatus for optimizing a mapping scheme, an electronic device, and a readable storage medium. Background technique [0002] The popularity of intelligent applications makes neural network computing more and more important. However, it is difficult for general-purpose processors to meet the large amount of computation and storage required by neural networks. For this reason, related technicians have developed many-core systems with neural network acceleration architectures. When the many-core system executes the neural network, many neurons of the neural network are spatially distributed on different processing cores, that is, the mapping scheme is obtained. Since the data transfer between the processing cores is realized through the routing system (network-on-chip) of the many-core system, and the neural network itself has a large amo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063G06N3/08G06F15/163
CPCG06N3/063G06N3/08G06F15/163
Inventor 张伟豪曲环宇
Owner LYNXI TECH CO LTD
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