Menu
Home Explore People Places Arts History Plants & Animals Science Life & Culture Technology
On this page
GPU virtualization
Technology that allows a GPU to be used by multiple virtual machines

GPU virtualization refers to technologies that allow the use of a GPU to accelerate graphics or GPGPU applications running on a virtual machine. GPU virtualization is used in various applications such as desktop virtualization, cloud gaming and computational science (e.g. hydrodynamics simulations).

GPU virtualization implementations generally involve one or more of the following techniques: device emulation, API remoting, fixed pass-through and mediated pass-through. Each technique presents different trade-offs regarding virtual machine to GPU consolidation ratio, graphics acceleration, rendering fidelity and feature support, portability to different hardware, isolation between virtual machines, and support for suspending/resuming and live migration.

We don't have any images related to GPU virtualization yet.
We don't have any YouTube videos related to GPU virtualization yet.
We don't have any PDF documents related to GPU virtualization yet.
We don't have any Books related to GPU virtualization yet.
We don't have any archived web articles related to GPU virtualization yet.

API remoting

In API remoting or API forwarding, calls to graphical APIs from guest applications are forwarded to the host by remote procedure call, and the host then executes graphical commands from multiple guests using the host's GPU as a single user.8 It may be considered a form of paravirtualization when combined with device emulation.9 This technique allows sharing GPU resources between multiple guests and the host when the GPU does not support hardware-assisted virtualization. It is conceptually simple to implement, but it has several disadvantages:10

  • In pure API remoting, there is little isolation between virtual machines when accessing graphical APIs; isolation can be improved using paravirtualization
  • Performance ranges from 86% to as low as 12% of native performance in applications that issue a large number of drawing calls per frame
  • A large number of API entry points must be forwarded, and partial implementation of entry points may decrease fidelity
  • Applications on guest machines may be limited to few available APIs

Hypervisors usually use shared memory between guest and host to maximize performance and minimize latency. Using a network interface instead (a common approach in distributed rendering), third-party software can add support for specific APIs (e.g. rCUDA11 for CUDA) or add support for typical APIs (e.g. VMGL12 for OpenGL) when it is not supported by the hypervisor's software package, although network delay and serialization overhead may outweigh the benefits.

Application support from API remoting virtualization technologies
TechnologyDirect3DOpenGLVulkanOpenCLDXVA
VMware Virtual Shared Graphics Acceleration (vSGA)1314114.315YesNoNo
Parallels Desktop for Mac 3D acceleration1611173.318NoNoNo
Hyper-V RemoteFX vGPU1920124.4No1.1No
VirtualBox Guest Additions 3D driver2122238/9242.125NoNoNo
Thincast Workstation - Virtual 3D2612.1NoYesNoNo
QEMU/KVM with Virgil 3D27282930No4.3PlannedNoNo

Fixed pass-through

In fixed pass-through or GPU pass-through (a special case of PCI pass-through), a GPU is accessed directly by a single virtual machine exclusively and permanently. This technique achieves 96–100% of native performance31 and high fidelity,32 but the acceleration provided by the GPU cannot be shared between multiple virtual machines. As such, it has the lowest consolidation ratio and the highest cost, as each graphics-accelerated virtual machine requires an additional physical GPU.33

The following software technologies implement fixed pass-through:

VirtualBox removed support for PCI pass-through in version 6.1.0.46

QEMU/KVM

For certain GPU models, Nvidia and AMD video card drivers attempt to detect the GPU is being accessed by a virtual machine and disable some or all GPU features.47 NVIDIA has recently changed virtualization rules for consumer GPUs by disabling the check in GeForce Game Ready driver 465.xx and later.48

For NVIDIA, various architectures of desktop and laptop consumer GPUs can be passed through in various ways. For desktop graphics cards, passthrough can be done via the KVM using either the legacy or UEFI BIOS configuration via SeaBIOS and OVMF, respectively.

NVIDIA

Desktops

For desktops, most graphics cards can be passed through, although for graphics cards with the Pascal architecture or older, the VBIOS of the graphics card must be passed through in the virtual machine if the GPU is used to boot the host.49

Laptops

For laptops, the NVIDIA driver checks for the presence of a battery via ACPI, and without a battery, an error will be returned. To avoid this, an acpitable created from text converted into Base64 is required to spoof a battery and bypass the check.50

Pascal and earlier

For the laptop graphics cards that are Pascal and older, passthrough varies widely on the configuration of the graphics card. For laptops that do not have NVIDIA Optimus, such as the MXM variants, passthrough can be achieved through traditional methods. For laptops that have NVIDIA Optimus on as well as rendering through the CPU's integrated graphics framebuffer as opposed to its own, the passthrough is more complicated, requiring a remote rendering display or service, the use of Intel GVT-g, as well as integrating the VBIOS into the boot configuration due to the VBIOS being present in the laptop's system BIOS as opposed to the GPU itself. For laptops that have a GPU with NVIDIA Optimus and have a dedicated framebuffer, the configurations may vary. If NVIDIA Optimus can be switched off, then passthrough is possible through traditional means. However, if Optimus is the only configuration, then it is most likely that the VBIOS is present in the laptop's system BIOS, requiring the same steps as the laptop rendering only on the integrated graphics framebuffer, but an external monitor is also possible.51

Mediated pass-through

In mediated device pass-through or full GPU virtualization, the GPU hardware provides contexts with virtual memory ranges for each guest through IOMMU and the hypervisor sends graphical commands from guests directly to the GPU. This technique is a form of hardware-assisted virtualization and achieves near-native52 performance and high fidelity. If the hardware exposes contexts as full logical devices, then guests can use any API. Otherwise, APIs and drivers must manage the additional complexity of GPU contexts. As a disadvantage, there may be little isolation between virtual machines when accessing GPU resources.53

The following software and hardware technologies implement mediated pass-through:

  • VMware Virtual Shared Pass-Through Graphics Acceleration54 with Nvidia vGPU55 or AMD MxGPU56
  • Citrix XenServer shared GPU with Nvidia vGPU, AMD MxGPU or Intel GVT-g5758
  • Xen596061 and KVM6263 with Intel GVT-g6465
  • Thincast Workstation - Virtual 3D feature (Direct X 12 & Vulkan 3D API)

While API remoting is generally available for current and older GPUs, mediated pass-through requires hardware support available only on specific devices.

Hardware support for mediated pass-through virtualization
VendorTechnologyDedicated graphics card familiesIntegrated GPU families
ServerProfessionalConsumer
NvidiavGPU66GRID, TeslaQuadroNo
AMDMxGPU6768FirePro Server, Radeon InstinctRadeon ProNoNo
IntelGVT-gBroadwell and newer

Device emulation

GPU architectures are very complex and change quickly, and their internal details are often kept secret. It is generally not feasible to fully virtualize new generations of GPUs, only older and simpler generations. For example, PCem, a specialized emulator of the IBM PC architecture, can emulate a S3 ViRGE/DX graphics device, which supports Direct3D 3, and a 3dfx Voodoo2, which supports Glide, among others.69

When using a VGA or an SVGA virtual display adapter,707172 the guest may not have 3D graphics acceleration, providing only minimal functionality to allow access to the machine via a graphics terminal. The emulated device may expose only basic 2D graphics modes to guests. The virtual machine manager may also provide common API implementations using software rendering to enable 3D graphics applications on the guest, albeit at speeds that may be low as 3% of hardware-accelerated native performance.73 The following software technologies implement graphics APIs using software rendering:

See also

Notes

References

  1. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  2. Hong, Hua-Jun; Fan-Chiang, Tao-Ya; Lee, Che-Rung; Chen, Kuan-Ta; Huang, Chun-Ying; Hsu, Cheng-Hsin (2014). GPU Consolidation for Cloud Games: Are We There Yet?. 13th Annual Workshop on Network and Systems Support for Games. Nagoya: Institute of Electrical and Electronics Engineers. pp. 1–6. doi:10.1109/NetGames.2014.7008969. ISBN 978-1-4799-6882-4. ISSN 2156-8138. S2CID 664129. Retrieved 14 September 2020. 978-1-4799-6882-4

  3. Walters, John; Younge, Andrew; Kang, Dong-In; Yao, Ke-Thia; Kang, Mikyung; Crago, Stephen; Fox, Geoffrey (2014). "GPU Passthrough Performance: A Comparison of KVM, Xen, VMware ESXi, and LXC for CUDA and OpenCL Applications". IEEE 7th International Conference on Cloud Computing. IEEE 7th International Conference on Cloud Computing. Anchorage: IEEE Computer Society. pp. 636–643. doi:10.1109/CLOUD.2014.90. ISBN 978-1-4799-5063-8. ISSN 2159-6190. Retrieved 13 September 2020. 978-1-4799-5063-8

  4. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  5. Yu, Hangchen; Rossbach, Christopher (25 June 2017). Full Virtualization for GPUs Reconsidered (PDF). ISCA-44 14th Annual Workshop on Duplicating, Deconstructing and Debunking. Toronto. Retrieved 12 September 2020. https://www.cs.utexas.edu/~hyu/publication/wddd17-gpuvm.pdf

  6. Tian, Kun; Dong, Yaozu; Cowperthwaite, David (June 2014). "A Full GPU Virtualization Solution with Mediated Pass-Through" (PDF). Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference (USENIX ATC'14). USENIX Annual Technical Conference. Philadelphia: USENIX. pp. 121–132. ISBN 978-1-931971-10-2. 978-1-931971-10-2

  7. Gottschlag, Mathias; Hillenbrand, Marius; Kehne, Jens; Stoess, Jan; Bellosa, Frank (November 2013). LoGV: Low-Overhead GPGPU Virtualization (PDF). 10th International Conference on High Performance Computing. Zhangjiajie: IEEE Computer Society. pp. 1721–1726. doi:10.1109/HPCC.and.EUC.2013.245. ISBN 978-0-7695-5088-6. Retrieved 16 September 2020. 978-0-7695-5088-6

  8. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  9. Suzuki, Yusuke; Kato, Shinpei; Yamada, Hiroshi; Kono, Kenji (June 2014). "GPUvm: Why Not Virtualizing GPUs at the Hypervisor?" (PDF). Proceedings of the 2014 USENIX Conference on USENIX Annual Technical Conference (USENIX ATC'14). USENIX Annual Technical Conference. Philadelphia: USENIX. pp. 109–120. ISBN 978-1-931971-10-2. Retrieved 14 September 2020. 978-1-931971-10-2

  10. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  11. Duato, José; Peña, Antonio; Silla, Federico; Fernández, Juan; Mayo, Rafael; Quintana-Ortí, Enrique (December 2011). Enabling CUDA acceleration within virtual machines using rCUDA (PDF). 18th International Conference on High Performance Computing. International Conference on High Performance Computing. Bangalore: IEEE Computer Society. pp. 1–10. doi:10.1109/HiPC.2011.6152718. hdl:2117/168226. ISBN 978-1-4577-1951-6. ISSN 1094-7256. Retrieved 13 September 2020. 978-1-4577-1951-6

  12. Lagar-Cavilla, Horacio; Tolia, Niraj; Satyanarayanan, Mahadev; Lara, Eyal (June 2007). "VMM-Independent Graphics Acceleration" (PDF). Written at San Antonio. Proceedings of the 3rd International Conference on Virtual Execution Environments. VEE '07. New York City: Association for Computing Machinery. pp. 33–43. doi:10.1145/1254810.1254816. ISBN 978-1-59593-630-1. Retrieved 12 September 2020. 978-1-59593-630-1

  13. Lantinga, Hilko. Deploying Hardware-Accelerated Graphics with VMware Horizon (Guide). VMware. Retrieved 12 September 2020. https://techzone.vmware.com/resource/deploying-hardware-accelerated-graphics-vmware-horizon-7

  14. visaac. "VMware Workstation 16 Pro Release Notes". docs.vmware.com. Retrieved 2021-03-24. https://docs.vmware.com/en/VMware-Workstation-Pro/16/rn/VMware-Workstation-16-Pro-Release-Notes.html

  15. "VMware's SVGA Gallium3D Driver Lands OpenGL 4.3 Support In Mesa 22.0". https://www.phoronix.com/news/SVGA-Mesa-22-OpenGL-4.3

  16. "Graphics Settings". Parallels Desktop - User's Guide (Guide). Parallels. https://download.parallels.com/desktop/v16/docs/en_US/Parallels%20Desktop%20User's%20Guide/43132.htm

  17. Wrapped to OpenGL using WineD3D.[14] /wiki/Wine_(software)#Direct3D

  18. Compatibility profile.

  19. "Deploy graphics devices using RemoteFX vGPU". Hyper-V on Windows Server (Manual). Microsoft. Retrieved 13 September 2020. https://docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/deploy/deploy-graphics-devices-using-remotefx-vgpu

  20. "Plan for GPU acceleration in Windows Server". Hyper-V on Windows Server (Manual). Microsoft. Retrieved 15 September 2020. https://docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/plan/plan-for-gpu-acceleration-in-windows-server

  21. "Hardware-Accelerated Graphics". Oracle VM VirtualBox User Manual (Manual). Oracle Corporation. Retrieved 12 September 2012. https://docs.oracle.com/en/virtualization/virtualbox/6.1/user/guestadd-video.html

  22. "Guest Additions". Oracle VM VirtualBox User Manual (Manual). Oracle Corporation. Retrieved 12 September 2020. https://www.virtualbox.org/manual/ch04.html

  23. Larabel, Michael (19 December 2018). "VirtualBox 6.0 3D/OpenGL Performance With VMSVGA Adapter". Phoronix. Retrieved 15 September 2020. https://www.phoronix.com/scan.php?page=article&item=virtualbox-60-vmsvga&num=1

  24. Experimental. Wrapped to OpenGL using WineD3D.[20] /wiki/Wine_(software)#Direct3D

  25. Experimental.

  26. Hi! - The Thincast Workstation FreeRDP Blog https://www.freerdp.com/2019/02/20/hi-thincast-workstation

  27. "Virgil 3D GPU project". GitHub (Project). freedesktop.org. Retrieved 13 September 2020. https://virgil3d.github.io/

  28. Edge, Jake (10 September 2014). Virgil 3D: A virtual GPU (Article). LWN.net. Retrieved 13 September 2020. https://lwn.net/Articles/611212/

  29. Wollny, Gert (28 August 2019). "Virglrenderer and the state of virtualized virtual worlds". Collabora News & Blog. Retrieved 15 September 2020. https://www.collabora.com/news-and-blog/blog/2019/08/28/virglrenderer-state-of-virtualized-virtual-worlds/

  30. Hoffmann, Gerd (28 November 2019). "virtio gpu status and plans". Retrieved 15 September 2020. https://www.kraxel.org/blog/2019/11/virtio-gpu-status-and-plans/

  31. Walters, John; Younge, Andrew; Kang, Dong-In; Yao, Ke-Thia; Kang, Mikyung; Crago, Stephen; Fox, Geoffrey (2014). "GPU Passthrough Performance: A Comparison of KVM, Xen, VMware ESXi, and LXC for CUDA and OpenCL Applications". IEEE 7th International Conference on Cloud Computing. IEEE 7th International Conference on Cloud Computing. Anchorage: IEEE Computer Society. pp. 636–643. doi:10.1109/CLOUD.2014.90. ISBN 978-1-4799-5063-8. ISSN 2159-6190. Retrieved 13 September 2020. 978-1-4799-5063-8

  32. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  33. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  34. Lantinga, Hilko. Deploying Hardware-Accelerated Graphics with VMware Horizon (Guide). VMware. Retrieved 12 September 2020. https://techzone.vmware.com/resource/deploying-hardware-accelerated-graphics-vmware-horizon-7

  35. Not available on VMware Workstation. /wiki/VMware_Workstation

  36. GPU Development with Parallels Workstation Extreme (PDF) (White paper). Parallels. 2010. Retrieved 13 September 2020. http://download.parallels.com/doc/pwe/en/GPU_development_solution_brief.pdf

  37. "Deploy graphics devices using Discrete Device Assignment". Hyper-V on Windows Server (Manual). Microsoft. Retrieved 13 September 2020. https://docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/deploy/deploying-graphics-devices-using-dda

  38. "HDX 3D Pro". XenApp and XenDesktop 7.15 LTSR (Manual). Citrix Systems. Retrieved 15 September 2020. https://docs.citrix.com/en-us/xenapp-and-xendesktop/7-15-ltsr/graphics/hdx-3d-pro.html

  39. "Graphics overview". Citrix Hypervisor 8.2 (Manual). Citrix Systems. Retrieved 15 September 2020. https://docs.citrix.com/en-us/citrix-hypervisor/graphics.html

  40. GVT-d Setup Guide. GitHub (Guide). Retrieved 13 September 2020. https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide

  41. GVT-d Setup Guide. GitHub (Guide). Retrieved 13 September 2020. https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide

  42. Larabel, Michael (4 May 2014). "Intel Pushes Their Graphics Virtualization Capabilities". Phoronix. Retrieved 13 September 2020. https://www.phoronix.com/scan.php?page=news_item&px=MTY4MTc

  43. "Bringing New Use Cases and Workloads to the Cloud with Intel Graphics Virtualization Technology (Intel GVT-g)" (PDF). Intel Open Source Technology Center (Flyer). Intel. 2016. Retrieved 14 August 2020. https://01.org/sites/default/files/documentation/gvt_flyer_final.pdf

  44. Jain, Sunil (4 May 2014). "Intel Graphics Virtualization Update" (Article). Intel. Retrieved 13 September 2020. https://01.org/blogs/2014/intel%C2%AE-graphics-virtualization-update

  45. Larabel, Michael (4 May 2014). "Intel Pushes Their Graphics Virtualization Capabilities". Phoronix. Retrieved 13 September 2020. https://www.phoronix.com/scan.php?page=news_item&px=MTY4MTc

  46. "Changelog for VirtualBox 6.1". VirtualBox. Oracle Corporation. 10 December 2019. Retrieved 12 September 2020. https://www.virtualbox.org/wiki/Changelog-6.1

  47. "PCI passthrough via OVMF - Video card driver virtualization detection". Arch Linux Wiki (Wiki). Retrieved 13 September 2020. https://wiki.archlinux.org/index.php/PCI_passthrough_via_OVMF#Video_card_driver_virtualisation_detection

  48. "GeForce GPU Passthrough for Windows Virtual Machine (Beta)". NVIDIA Support. 2021-03-30. https://nvidia.custhelp.com/app/answers/detail/a_id/5173/~/geforce-gpu-passthrough-for-windows-virtual-machine-%28beta%29

  49. "PCI passthrough via OVMF - ArchWiki". wiki.archlinux.org. Retrieved 2021-05-20. https://wiki.archlinux.org/title/PCI_passthrough_via_OVMF#Video_card_driver_virtualisation_detection

  50. "PCI passthrough via OVMF - ArchWiki". wiki.archlinux.org. Retrieved 2021-05-20. https://wiki.archlinux.org/title/PCI_passthrough_via_OVMF#Video_card_driver_virtualisation_detection

  51. Tian, Lan (2020-06-25). "Intel and NVIDIA GPU Passthrough on a Optimus MUXless Laptop". https://lantian.pub/en/article/modify-computer/laptop-intel-nvidia-optimus-passthrough.lantian/#Stop-Host-OS-from-Tampering-with-NVIDIA-GPU

  52. Intel GVT-g achieves 80–90% of native performance.[39][40] Nvidia vGPU achieves 88–96% of native performance considering the overhead on a VMware hypervisor.[41]

  53. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  54. Not available on VMware Workstation. /wiki/VMware_Workstation

  55. Virtual GPU Software User Guide (Guide). Nvidia. Retrieved 13 September 2020. https://docs.nvidia.com/grid/latest/grid-vgpu-user-guide/

  56. Wong, Tonny (28 January 2016). AMD multiuser GPU: hardware-enabled GPU virtualization for a true workstation experience (PDF) (White paper). AMD. Retrieved 12 September 2020. https://www.amd.com/system/files/documents/amd-mxgpu-white-paper.pdf

  57. "HDX 3D Pro". XenApp and XenDesktop 7.15 LTSR (Manual). Citrix Systems. Retrieved 15 September 2020. https://docs.citrix.com/en-us/xenapp-and-xendesktop/7-15-ltsr/graphics/hdx-3d-pro.html

  58. "Graphics overview". Citrix Hypervisor 8.2 (Manual). Citrix Systems. Retrieved 15 September 2020. https://docs.citrix.com/en-us/citrix-hypervisor/graphics.html

  59. Wang, Hongbo (18 October 2018). "2018-Q3 release of XenGT (Intel GVT-g for Xen)" (Press release). Intel Open Source Technology Center. Retrieved 14 August 2020. https://01.org/igvt-g/blogs/wangbo85/2018/2018-q3-release-xengt-intel-gvt-g-xen

  60. GVT-g Setup Guide. GitHub (Guide). Retrieved 13 September 2020. https://github.com/intel/gvt-linux/wiki/GVTg_Setup_Guide

  61. Larabel, Michael (4 May 2014). "Intel Pushes Their Graphics Virtualization Capabilities". Phoronix. Retrieved 13 September 2020. https://www.phoronix.com/scan.php?page=news_item&px=MTY4MTc

  62. Wang, Hongbo (18 October 2018). "2018-Q3 release of KVMGT (Intel GVT-g for KVM)" (Press release). Intel Open Source Technology Center. Retrieved 14 August 2020. https://01.org/igvt-g/blogs/wangbo85/2018/2018-q3-release-kvmgt-intel-gvt-g-kvm

  63. GVT-g Setup Guide. GitHub (Guide). Retrieved 13 September 2020. https://github.com/intel/gvt-linux/wiki/GVTg_Setup_Guide

  64. "Bringing New Use Cases and Workloads to the Cloud with Intel Graphics Virtualization Technology (Intel GVT-g)" (PDF). Intel Open Source Technology Center (Flyer). Intel. 2016. Retrieved 14 August 2020. https://01.org/sites/default/files/documentation/gvt_flyer_final.pdf

  65. Jain, Sunil (4 May 2014). "Intel Graphics Virtualization Update" (Article). Intel. Retrieved 13 September 2020. https://01.org/blogs/2014/intel%C2%AE-graphics-virtualization-update

  66. "NVIDIA Virtual GPU Software Supported GPUs". Nvidia. Retrieved 9 September 2020. https://docs.nvidia.com/grid/gpus-supported-by-vgpu.html

  67. Wong, Tonny (28 January 2016). AMD multiuser GPU: hardware-enabled GPU virtualization for a true workstation experience (PDF) (White paper). AMD. Retrieved 12 September 2020. https://www.amd.com/system/files/documents/amd-mxgpu-white-paper.pdf

  68. AMD FirePro S-Series for Virtualization (PDF) (Datasheet). AMD. 2016. Retrieved 13 September 2020. https://www.amd.com/system/files/documents/firepro-s-series-datasheet.pdf

  69. "Systems/motherboards emulated". PCem (Project). Retrieved 26 October 2020. https://pcem-emulator.co.uk/status.html

  70. "VMware Tools Device Drivers". VMware Tools Documentation (Manual). VMware. Retrieved 12 September 2020. https://docs.vmware.com/en/VMware-Tools/10.1.0/com.vmware.vsphere.vmwaretools.doc/GUID-6994A5F9-B62B-4BF1-99D8-E325874A4C7A.html?hWord=N4IghgNiBcIGoFkDuYBOBTABAFQPa4gGdMBlOAcQEEQBfIA

  71. "Configuring Virtual Machines". Oracle VM VirtualBox User Manual (Manual). Oracle Corporation. Retrieved 12 September 2020. https://www.virtualbox.org/manual/ch03.html

  72. "Display options". QEMU User Documentation. QEMU (Manual). Retrieved 12 September 2020. https://www.qemu.org/docs/master/qemu-doc.html

  73. Dowty, Micah; Sugerman, Jeremy (July 2009). Written at San Diego. "GPU Virtualization on VMware's Hosted I/O Architecture" (PDF). ACM SIGOPS Operating Systems Review. 43 (3). New York City: Association for Computing Machinery: 73–82. doi:10.1145/1618525.1618534. ISSN 0163-5980. S2CID 228328. Retrieved 10 September 2020. /wiki/San_Diego

  74. Long, Simon (2013). Virtual Machine Graphics Acceleration Deployment Guide (PDF) (White paper). VMware. Retrieved 14 September 2020. https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/whitepaper/vmware-horizon-view-graphics-acceleration-deployment-white-paper.pdf

  75. "Configuring Virtual Machines". Oracle VM VirtualBox User Manual (Manual). Oracle Corporation. Retrieved 12 September 2020. https://www.virtualbox.org/manual/ch03.html

  76. "OpenGL Software Accelerator". XenApp and XenDesktop 7.15 LTSR (Manual). Citrix Systems. Retrieved 15 September 2020. https://docs.citrix.com/en-us/xenapp-and-xendesktop/7-15-ltsr/graphics/opengl-software-accelerator.html