Virtual machine-based general processing unit (GPU) cluster management system

Abstract

The invention provides a virtual machine-based general processing unit (GPU) cluster management system, which comprises cluster management nodes and a plurality of GPU cluster nodes, wherein each GPU cluster node comprises a management domain and a plurality of virtual machines. Each virtual machine receives computed unified device architecture (CUDA) tasks of users and transmits the CUDA tasks to the cluster management nodes, and the cluster management nodes designate an appropriate virtual machine to run the task according to the CUDA task requirement, parameter information of global positioning system (GPS) and current task queue information of the virtual machine; during the task running process of the designated virtual machine, a privilege order in the task is intercepted and is transmitted to the management domain, the management domain drives the GPU to run the privilege order, and a running result is returned to the corresponding virtual machine so as to assist the GUDA task running of the virtual machine. The invention provides advanced cluster architecture to support a virtual desktop user to submit the GPU task through the client. The architecture satisfies a series of function requirements including the network transparency, easiness in operation and expandability.

Description

technical field [0001] The present invention relates to the technical field of cluster management, and more specifically relates to a system that supports the operation of GPU computing tasks and the scheduling and management of GPU cluster computing resources composed of multiple GPU servers under a virtual desktop platform. Background technique [0002] At present, remote desktop technology is sought after by people. When a computer opens the remote desktop connection function, we can control this computer at the other end of the network. Through the remote desktop function, we can operate this computer in real time and run on it. Various applications, all as if operating directly on the computer. [0003] Clustering is the use of multiple computers, such as typical personal computers or servers, interconnected through a network to form a single high-availability system for users. Cluster computing can be used to achieve load balancing. When one's own computer does not me...

AI Technical Summary

Problems solved by technology

However, there is currently no virtual machine-based GPU cluster system, which not only enables the cluster to support GPU computing, but also satisfies the support of virtual machine users for GPU computing.

At the same time, the traditional cluster scheduling algorithm makes the efficiency of the GPU low, which is not conducive to the full use of the strong computing power of the GPU.

Images