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Cooperative AI task scheduling method, device and system

A task scheduling and collaborative technology, applied in the direction of multi-program device, program startup/switching, program control design, etc., can solve the problem of losing the attractiveness of new business applications

Pending Publication Date: 2021-09-10
阿尔法云计算(深圳)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional centralized AI systems lose their appeal for new business applications

Method used

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  • Cooperative AI task scheduling method, device and system
  • Cooperative AI task scheduling method, device and system
  • Cooperative AI task scheduling method, device and system

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Embodiment Construction

[0060] Embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

[0061] The terms "first", "second" and "third" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, "including" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

[0062] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment ...

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Abstract

The invention provides a cooperative AI task scheduling method, device and system. The method acts on a task including application of a plurality of AI models, and comprises the following steps: analyzing each model feature of a certain execution stage in the task to obtain a data relation graph between related models, so as to determine a cooperative execution group of the stage and corresponding AI equipment; and through the output of the operation model, jointly determining a prediction execution group of the next execution stage and the corresponding AI equipment, and sending task related information to the prediction execution group during task execution transfer. By means of the method, the task can have the capacity of flexibly migrating along with the task target on the distributed deployment AI equipment, and application and popularization of the AI are accelerated.

Description

technical field [0001] This application relates to collaborative AI, and mainly relates to a method for collaborative training of multiple AI algorithms and collaborative task completion among multiple AI devices in distributed AI. Background technique [0002] At present, it is generally believed that artificial intelligence (AI-Artificial Intelligence) will be one of the most influential technologies in the 21st century and beyond. The mode of the traditional centralized AI system is centralized AI algorithm training, centralized AI model deployment and application. [0003] With changes in hardware technology, there are more and more types of AI algorithms, AI capabilities are becoming more and more differentiated, and AI devices are more distributed. The flexibility of this distributed AI device and the traditional method of providing and scheduling in a centralized manner are a pair of contradictions that cannot be easily reconciled. On the other hand, the reality is ...

Claims

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Application Information

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IPC IPC(8): G06F9/48
CPCG06F9/4856
Inventor 周胜平吴栋林俊杰吴敏梁乔忠仲景武
Owner 阿尔法云计算(深圳)有限公司