【摘 要】
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With the capabilities of hardware resources increasing while prices also continuing to decline,virtual machine technologies have become more and more popular in industrial and academic areas to utiliz
【出 处】
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第八届中国可信计算与信息安全学术会议
论文部分内容阅读
With the capabilities of hardware resources increasing while prices also continuing to decline,virtual machine technologies have become more and more popular in industrial and academic areas to utilize computer resources fully while completed isolating the users.Virtual machine technologies o er lots of bene ts such as users isolation,server consolidation and live migration.However,due to the overhead incurred by indirect access to physical resources such as GPU,IO devices,VM technologies have not been widely used in high performance computing area.Since GPGPU (General Purpose Graphics Processing Unit) computing solution for virtual machines being proposed,GPU can be used to accelerate applications in virtual machines (VMs),which marks high performance computing (HPC) applications running on GPU can be ported to VM environment.However,there are some di erences between GPU cluster built on virtual machine environment and real physical environment.A novel GPU resources management system built on VMs,called VMGPURMS,is presented to use VM as computing node,and enable users run the jobs in the whole virtual machine environment transparently.Also a novel GPU cluster schedule policy is proposed in VMGPURMS to improve the performance of GPU.Evaluation demonstrates that the e ciency of GPUs with the GPU cluster schedule policy could be improved by 17.
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