Transparent Accelerator Migration in a Virtualized GPU Environment

Shucai Xiao, Pavan Balaji, James Dinan, Qian Zhu, Rajeev Thakur, Susan Coghlan, Heshan Lin, Gaojin Wen, Jue Hong, Wu-Chun Feng
Dept. of Computer Science, Virginia Tech.
12th IEEE/ACM Intl. Conf. on Cluster, Cloud, and Grid Computing (CCGrid), 2012


   title={Transparent Accelerator Migration in a Virtualized GPU Environment},

   author={Xiao, S. and Balaji, P. and Dinan, J. and Zhu, Q. and Thakur, R. and Coghlan, S. and Lin, H. and Wen, G. and Hong, J. and Feng, W.},

   booktitle={Proc. of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)},



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This paper presents a framework to support transparent, live migration of virtual GPU accelerators in a virtualized execution environment. Migration is a critical capability in such environments because it provides support for fault tolerance, ondemand system maintenance, resource management, and load balancing in the mapping of virtual to physical GPUs. Techniques to increase responsiveness and reduce migration overhead are explored. The system is evaluated by using four application kernels and is demonstrated to provide low migration overheads. Through transparent load balancing, our system provides a speedup of 1.7 to 1.9 for three of the four application kernels.
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