An engineering machine computing power expansion method, device, chip and storage medium

By generating a computing power resource pool through hardware virtualization technology and dynamically scheduling the resources of the main computing power module and the computing power expansion module, the problem of inflexible computing power expansion in engineering machinery is solved, and flexible management and efficient utilization of computing power resources are realized.

CN117742941BActive Publication Date: 2026-06-26SHENZHEN HAIXING ZHIJIA TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN HAIXING ZHIJIA TECH CO LTD
Filing Date
2023-12-05
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing methods for expanding computing power in construction machinery are inflexible and cannot be dynamically adjusted. This means that when AI algorithms use expanded computing power resources, they need to consider the communication issues of heterogeneous expanded computing power modules. Furthermore, resource access is in an exclusive mode, which cannot meet the computing needs of multiple scenarios.

Method used

Hardware virtualization technology is used to virtualize the hardware units of the main computing power module and the computing power expansion module into virtual hardware units, generating a computing power resource pool. The operating system then performs unified scheduling and management, dynamically allocating target computing power resources based on the resource scale of the computing task, thereby achieving flexible allocation and scheduling of computing power resources.

Benefits of technology

It enables flexible scheduling and management of computing resources, eliminating the need for users to worry about which module the resources come from. This improves the flexibility of computing power expansion and resource utilization efficiency, reduces management difficulty, and meets the needs of different computing tasks.

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Abstract

The application relates to the field of vehicle-mounted embedded technology and discloses an engineering machine algorithm expansion method, device, chip and storage medium, the method comprises the following steps: obtaining a calculation task; judging the algorithm resource scale required by the calculation task; calling target algorithm resource of a corresponding scale from an algorithm resource pool according to the algorithm resource scale, the algorithm resource pool is a virtual hardware unit set generated by a main algorithm module and / or an algorithm expansion module through hardware unit virtualization; and executing the calculation task through the target algorithm resource. According to the application, the algorithm resource is uniformly scheduled and managed through the virtualization resource pool, so that the user does not need to care whether the called target algorithm resource comes from the main algorithm module or the algorithm expansion module; different calculation tasks apply corresponding size algorithm resources to the algorithm resource pool according to the required algorithm resource size, and the whole block application of the algorithm expansion module is not needed, so that the algorithm expansion is more flexible.
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