A case for high performance computing with virtual machines

By Wei Huang, Jiuxing Liu, B. Abali, Dhabaleswar K. D. K. Panda. International Conference on Supercomputing, 2006

320 citations recorded by the source corpus.

How researchers see this paper

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vCUDA: GPU accelerated high performance computing in virtual machines (2009, methodology): “VMM technology has been applied to many areas including intrusion detection [8], high performance computing [12] and device driver reuse [21] et al. Over the past few years, there has been a marked increase in the performance and capabilities of graphics processing unit (GPU).”
Proactive fault tolerance for HPC with Xen virtualization (2007, methodology): “Virtualization as a technique to tolerate faults in HPC has been studied before showing that MPI applications run over a Xen virtualization layer [5] result in virtually no ov erheads [17].”
The Eucalyptus Open-Source Cloud-Computing System (2009, methodology): “Finally, we provide evidence that EUCALYPTUS enables users familiar with existing Grid and HPC systems to explore new cloud computing functionality while maintaining access to existing, familiar application development software and Grid middle-ware.”
Power-aware scheduling of virtual machines in DVFS-enabled clusters (2009, background): “Some technical work has reported that virtual machine could be used for scientific applications with tolerable performance punishment [6], [7].”