AI chip task processing method and device based on x86 architecture

A task processing, x86 technology, applied in the computer field, can solve problems such as single platform architecture, limitations, non-native support, etc., and achieve the effect of expanding the scope of use

Active Publication Date: 2020-11-17
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, mainstream AI chip manufacturers and open source projects mostly use arm-based CPUs to communicate with AI chips. The disadvantage is that it is limited to a single platform architecture, only supports arm cpu and arm linux to complete the registration and operation of the driver, and does not natively support mainstream x86 architecture computers and servers, which greatly limits the scope of use of AI chips

Method used

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  • AI chip task processing method and device based on x86 architecture
  • AI chip task processing method and device based on x86 architecture
  • AI chip task processing method and device based on x86 architecture

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Embodiment Construction

[0054] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0055] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0056] In one example, please refer to figure 1 As shown, an AI chip task processing method based on the x86 architecture is provided, specifically the method includes the following steps:

[0057] S100, changing the kernel configuration file, and ...

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Abstract

The invention relates to an AI chip task processing method and device based on an x86 architecture. The method comprises the steps of changing a kernel configuration file and conducting kernel recompilation on an x86 system based on a changed kernel configuration file; building a compiling environment for the x86 system by utilizing a preset compiler version and the library file; performing equipment registration on the AI chip in the established compiling environment to generate an AI chip driver, and mounting the AI chip driver to the x86 system; obtaining a calculation task, and downloadingthe calculation task to an AI chip driver by utilizing a runtime program of the x86 system; and performing task configuration and enabling on the functional module of the AI chip by utilizing AI chipdrive and the calculation task until the task is completed. According to the scheme provided by the invention, the AI chip can run on the server under the x86 architecture, and can process the calculation task, so that the application range of the AI chip is expanded, and a rare hardware environment is provided for actual AI chip design, test and application.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an x86 architecture-based AI chip task processing method, device, computer equipment and storage medium. Background technique [0002] As the most potential technology at present, artificial intelligence has been applied in all aspects of life, such as face recognition, disease detection, construction railway flaw detection, traffic optimization, customer flow analysis, etc.; The two advantages of low power consumption are bound to become the mainstream AI computing hardware in the future, and will be deployed on computing centers and servers such as a large number of computer clusters. [0003] At present, mainstream AI chip manufacturers and open source projects mostly use arm-based CPUs to communicate with AI chips. The disadvantage is that it is limited to a single platform architecture, and only supports arm cpu and arm linux to complete driver registration and op...

Claims

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Application Information

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IPC IPC(8): G06F9/445G06F8/41
CPCG06F9/4451G06F8/41
Inventor 沈付旺
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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