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GPU resource scheduling method and device

A resource scheduling and GPU cluster technology, applied in the computer field, can solve problems such as high complexity, poor portability, and inability to ensure balanced scheduling of computing resources in GPU clusters, and achieve the effect of improving computing performance and simple scheduling methods

Active Publication Date: 2020-08-11
NEW H3C BIG DATA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the GPUs on each node are independent of each other and cannot communicate. Users need to manually manage GPU cluster resources, which is complex and poor in portability. At the same time, it is impossible to ensure that the computing resources of the GPU cluster are evenly scheduled.

Method used

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  • GPU resource scheduling method and device
  • GPU resource scheduling method and device
  • GPU resource scheduling method and device

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Embodiment Construction

[0019] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0020] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0021] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...

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Abstract

The invention relates to a GPU resource scheduling method and apparatus. The method comprises the following steps: a master node receives a request command of requesting GPU computing resources from afirst slave node, wherein the request command is sent by the first slave node when receiving a computing task submitted by a client; the master node determines GPU vacancy rates of the slave nodes; the master node selects a second slave node, wherein the second slave node is a slave node having the highest GPU vacancy rate in all slave nodes; and the master node sends the information of the second slave node to the first slave node, so that the first slave node sends the computing task to the second slave node. By adoption of the GPU resource scheduling method / apparatus according to various aspects of the invention, balanced scheduling of the computing resources of a GPU cluster can be realized, the computing performance of the GPU cluster is improved, and the GPU resources require no manual management of the user, so that the scheduling manner is simple.

Description

technical field [0001] The present disclosure relates to the field of computer technologies, and in particular to a GPU resource scheduling method and device. Background technique [0002] Graphics Processing Unit (GPU), also known as display core, visual processor, or display chip, is designed for computing-intensive and highly parallel computing. GPU is used in many fields, and its performance far exceeds that of traditional CPU (Central Processing Unit). [0003] In an increasingly large-scale intensive application system, a single GPU cannot fully meet the application needs. In order to improve the computing performance of the GPU, the machine can be expanded vertically. However, the vertical expansion of GPU is easily limited by the performance of hardware, and the cost performance is very low. [0004] In order to improve the computing performance of the GPU, the GPU cluster can also be expanded horizontally, and the GPU cluster is composed of multiple GPU chips on m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06F9/48
Inventor 胡良文丁远普
Owner NEW H3C BIG DATA TECH CO LTD
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