GPU-accelerated high-performance encoding and decoding of hierarchical RAID in virtual machines

被引:0
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作者
Tae-Geon Song
Mehdi Pirahandeh
Cheong-Jin Ahn
Deok-Hwan Kim
机构
[1] Inha University,Department of Electronic Engineering
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关键词
Pass-through; GPU; Virtual machine; Encoding; Decoding;
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学科分类号
摘要
This paper proposes new GPU-accelerated high-performance encoding and decoding for hierarchical RAID in a multiple virtual machine environment. Pass-through GPU technology is used to provide dedicated access to GPU cores for each virtual machine, and for a virtual desktop, it also enables higher encoding and decoding performance than traditional vGPU technology. The proposed hierarchical RAID reduces the GPU overhead and resists node failure. Experimental results show that the average encoding performance of the proposed hierarchical RAID 55 improves by 11.03%, compared to another hierarchical RAID 51, with respect to various file sizes. In addition, the average disk-based decoding performance of the proposed hierarchical RAID 55 also improves by 59.61%.
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页码:5865 / 5888
页数:23
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