Research and application of GPU pass-through based on KVM in desktop cloud
Lin Zhou, Jianxin Song, Jinkun Yuan, Haifeng Han
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.73How to use a DOI?
- Openstack Cloud;KVM ;Vfio-pci;GPU Passthrough with qemu
- At present,the desktop cloud has come into people's life.You'll see them in some companies, offices, and school labs.The problem I am trying to solve in this paper is that because the computing power of virtual desktop is provided by the virtual machine,and then transmit data to the virtual desktop to display through the network,so compared with the traditional PC in terms of performance, there are still gaps, it is difficult to cope with the application of high load ,such as 3D animation, high-definition video processing, etc.The approach I adopt to solve the problem is that we can use vfio-pci technology to direct GPU to a virtual machine,Enables the virtual machine to monopolize the graphics card,And be able to achieve more than 90% of the performance of graphics,This is a huge improvement for users, and many desktop cloud users are not limited to general enterprise applications,Such as Office, Web applications, Flash playback, video playback and so on.After pass-through,Users can carry out high load applications, 3D animation, high-definition video processing, etc.There are several companies doing virtualization, but KVM is an open source virtualization solution, its market share is not very high, KVM virtualization based on direct display card is not a mature scheme, this is another contribution to the open source.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin Zhou AU - Jianxin Song AU - Jinkun Yuan AU - Haifeng Han PY - 2016/06 DA - 2016/06 TI - Research and application of GPU pass-through based on KVM in desktop cloud BT - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/mecs-17.2017.73 DO - https://doi.org/10.2991/mecs-17.2017.73 ID - Zhou2016/06 ER -