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vCUDA: GPU-Accelerated High-Performance Computing in Virtual Machines

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4 Author(s)
Lin Shi ; Sch. of Inf. Sci. & Eng., Hunan Univ., Changsha, China ; Hao Chen ; Jianhua Sun ; Kenli Li

This paper describes vCUDA, a general-purpose graphics processing unit (GPGPU) computing solution for virtual machines (VMs). vCUDA allows applications executing within VMs to leverage hardware acceleration, which can be beneficial to the performance of a class of high-performance computing (HPC) applications. The key insights in our design include API call interception and redirection and a dedicated RPC system for VMs. With API interception and redirection, Compute Unified Device Architecture (CUDA) applications in VMs can access a graphics hardware device and achieve high computing performance in a transparent way. In the current study, vCUDA achieved a near-native performance with the dedicated RPC system. We carried out a detailed analysis of the performance of our framework. Using a number of unmodified official examples from CUDA SDK and third-party applications in the evaluation, we observed that CUDA applications running with vCUDA exhibited a very low performance penalty in comparison with the native environment, thereby demonstrating the viability of vCUDA architecture.

Published in:

Computers, IEEE Transactions on  (Volume:61 ,  Issue: 6 )

Date of Publication:

June 2012

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