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Abstract-Over the last few years, running high performance computing applications in the cloud has become feasible. At the same time, GPGPUs are delivering unprecedented performance for HPC applications. Cloud providers thus face the challenge to integrate GPGPUs into their virtualized platforms, which has proven difficult for current virtualization stacks.In this paper, we present LoGV, an approach to virtualize GPGPUs by leveraging protection mechanisms already present in modern hardware. LoGV enables sharing of GPGPUs between VMs as well as VM migration without modifying the host driver or the guest's CUDA runtime. LoGV allocates resources securely in the hypervisor which then grants applications direct access to these resources, relying on GPGPU hardware features to guarantee mutual protection between applications. Experiments with our prototype have shown an overhead of less than 4% compared to native execution.

High Performance Computing (HPC) employs fast interconnect technologies to provide low communication and synchronization latencies for tightly coupled parallel compute jobs. Contemporary HPC clusters have a fixed capacity and static runtime environments; they cannot elastically adapt to dynamic workloads, and provide a limited selection of applications, libraries, and system software. In contrast, a cloud model for HPC clusters promises more flexibility, as it provides elastic virtual clusters to be available on-demand. This is not possible with physically owned clusters.In this paper, we present an approach that makes it possible to use InfiniBand clusters for HPC cloud computing. We propose a performance-driven design of an HPC IaaS layer for InfiniBand, which provides throughput and latency-aware virtualization of nodes, networks, and network topologies, as well as an approach to an HPC-aware, multi-tenant cloud management system for elastic virtualized HPC compute clusters.

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