Virtualizing General Purpose GPUs for High Performance Cloud Computing: An Application to a Fluid Simulator

In this work we present an hypervisor-independent GPU Virtualization Service named GVirtus. It instantiates virtual machines able to access to the GPU in a transparent way. GPUs allow to speed up calculations over CPUs. Therefore, virtualizing GPUs is a major trend and can be considered a revolution...

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Vydáno v:2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications s. 863 - 864
Hlavní autoři: Di Lauro, R., Giannone, F., Ambrosio, L., Montella, R.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.07.2012
Témata:
Cloud computing
Cuda
cuda driver interface
Electronic mail
GPGPU
GPU
Graphics processing unit
Gvirtus
HPC
Libraries
OpenCL
Virtual machine monitors
Virtual machining
virtualization
ISBN:1467316318, 9781467316316
ISSN:2158-9178
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Shrnutí:In this work we present an hypervisor-independent GPU Virtualization Service named GVirtus. It instantiates virtual machines able to access to the GPU in a transparent way. GPUs allow to speed up calculations over CPUs. Therefore, virtualizing GPUs is a major trend and can be considered a revolutionary tool for HPC. To test the performances of GVirtus we used a fluid simulator. Morover to exploit the computational power of GPUs in cloud computing we virtualized three different plugins for GVirtus Framework : Cuda Runtime, Cuda Driver and OpenCL plugins. Our results show that the overhead introduced by virtualization is almost irrelevant.
ISBN:1467316318
9781467316316
ISSN:2158-9178
DOI:10.1109/ISPA.2012.136