Article

VMM-independent graphics acceleration

Authors:

H. Andres Lagar-Cavilla,

M. Satyanarayanan,

Eyal de LaraAuthors Info & Claims

VEE '07: Proceedings of the 3rd international conference on Virtual execution environments

Pages 33 - 43

https://doi.org/10.1145/1254810.1254816

Published: 13 June 2007 Publication History

Abstract

We have designed and implemented VMGL, a virtual machine monitor (VMM) independent, graphics processing unit (GPU) independent, and cross-platform OpenGL virtualization solution. VMGL allows applications executing within virtual machines (VMs) to leverage hardware rendering acceleration, thus solving a problem that has limited virtualization of a growing class of graphics-intensive applications. VMGL also provides applications running within VMs with suspend and resume capabilities across GPUs from different vendors. Our experimental results from a number of graphics-intensive applications show that VMGL provides excellent rendering performance, within 14% or better of that obtained with native graphics hardware acceleration. Further, VMGL's performance is two orders of magnitude better than that of software rendering, the commonly available alternative today for graphics-intensive applications running in virtualized environments. Our results confirm VMGL's portability across VMware Workstation and Xen (on VT and non-VT hardware), and across Linux (with and without paravirtualization), FreeBSD, and Solaris. Our results also show that the resource demands of VMGL align well with the emerging trend of multi-core processors.

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Index Terms

VMM-independent graphics acceleration
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Virtual worlds software

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Published In

cover image ACM Conferences

VEE '07: Proceedings of the 3rd international conference on Virtual execution environments

June 2007

210 pages

ISBN:9781595936301

DOI:10.1145/1254810

General Chair:
Chandra Krintz
University of California, Santa Barbara
,
Program Chairs:
Steven Hand
University of Cambridge
,
David Tarditi
Microsoft Research

Copyright © 2007 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 13 June 2007

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VEE07: International Conference on Virtual Execution Environments

June 13 - 15, 2007

California, San Diego, USA

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https://doi.org/10.1109/ICCE59016.2024.10444479
Satyanarayanan MHarkes JBlakley J(2023)Towards Reproducible Execution of Closed-Source Applications from Internet ArchivesProceedings of the 2023 ACM Conference on Reproducibility and Replicability10.1145/3589806.3600035(15-26)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3589806.3600035
Yao JLu QTian RLi KGuan H(2023)An Economy-Oriented GPU Virtualization With Dynamic and Adaptive OversubscriptionIEEE Transactions on Computers10.1109/TC.2022.319999872:5(1371-1383)Online publication date: 1-May-2023
https://doi.org/10.1109/TC.2022.3199998
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