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Chip, acceleration card, electronic equipment and data processing method

An electronic device and accelerator card technology, applied in the fields of chips, accelerator cards, electronic devices and data processing, can solve the problems of low processing efficiency and difficult neural network pipeline processing, and achieve the effect of improving processing efficiency

Pending Publication Date: 2022-04-12
SHANGHAI POWERTENSORS INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, the terminal usually needs to serially dispatch each neural network to the GPU or accelerator card through the Host CPU during implementation, which makes it difficult to realize the pipeline processing of each neural network, and the processing efficiency is low

Method used

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  • Chip, acceleration card, electronic equipment and data processing method
  • Chip, acceleration card, electronic equipment and data processing method
  • Chip, acceleration card, electronic equipment and data processing method

Examples

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specific Embodiment

[0067] The chip of this embodiment is applied to an AI accelerator card, and the AI ​​accelerator card is inserted into a slot of a motherboard of a terminal. The scene of this embodiment is a scene where the terminal uses neural network technology to perform face recognition on the received video. In this scene, features need to be extracted through multiple steps such as video decoding, face area recognition, and face local feature analysis. Realize the final face recognition, which involves N (N is a positive integer greater than 1) groups of sub-networks, taking these N groups of sub-networks including sub-network 1 and sub-network 2, each sub-network is a group as an example, sub-network 1 is A neural network for face area recognition, and sub-network 2 is a neural network for face local feature analysis.

[0068] In related technologies, the AI ​​accelerator card is generally used as a pure slave device to assist the work of the Host CPU. The process of the terminal perf...

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PUM

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Abstract

The embodiment of the invention provides a chip, an accelerator card, electronic equipment and a data processing method and device.A control unit in the chip controls and schedules all sub-networks of a neural network to a first processing unit for AI reasoning, and under the condition that first processing of one group of sub-networks is completed, the sub-networks are subjected to AI reasoning; and the control unit schedules the network parameters of the next group of sub-networks to the first processing unit to perform the first processing of the next stage, so that the streamlined processing of the multiple groups of sub-networks included in the neural network is realized, and the processing efficiency is improved.

Description

technical field [0001] The present disclosure relates to the field of chip technology, and in particular to a chip, an accelerator card, electronic equipment and a data processing method. Background technique [0002] In recent years, neural networks have been widely used in various fields such as image processing, fault diagnosis, and video security. Among them, most application scenarios may require the cooperation of multiple neural networks to solve a complex problem. However, in practical applications, the terminal usually needs to serially schedule each neural network to the GPU or accelerator card through the Host CPU during implementation. It is difficult to realize the pipeline processing of each neural network, and the processing efficiency is low. Contents of the invention [0003] In a first aspect, an embodiment of the present disclosure provides a chip, and the chip includes: a control unit configured to schedule network parameters of a group of sub-networks ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/06
CPCG06N3/06
Inventor 冷祥纶张国栋李冰赵月新
Owner SHANGHAI POWERTENSORS INTELLIGENT TECH CO LTD