NDLI: Designing Locality and NUMA Aware MPI Runtime for Nested Virtualization based HPC Cloud with SR-IOV Enabled InfiniBand

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Designing Locality and NUMA Aware MPI Runtime for Nested Virtualization based HPC Cloud with SR-IOV Enabled InfiniBand

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Designing Locality and NUMA Aware MPI Runtime for Nested Virtualization based HPC Cloud with SR-IOV Enabled InfiniBand

Content Provider	ACM Digital Library
Author	Lu, Xiaoyi Panda, Dhabaleswar K. DK Zhang, Jie
Abstract	Hypervisor-based virtualization solutions reveal good security and isolation, while container-based solutions make applications and workloads more portable and distributed in an effective, standardized and repeatable way. Therefore, nested virtualization based computing environments (e.g., container over virtual machine), which inherit the capabilities from both solutions, are becoming more and more attractive in clouds (e.g., running Docker over Amazon EC2 VMs). Recent studies have shown that running applications in either VMs or containers still has significant overhead, especially for I/O intensive workloads. This motivates us to investigate whether the nested virtualization based solution can be adopted to build high-performance computing (HPC) clouds for running MPI applications efficiently and where the bottlenecks lie. To eliminate performance bottlenecks, we propose a high-performance two-layer locality and NUMA aware MPI library, which is able to dynamically detect co-resident containers inside one VM as well as detect co-resident VM inside one host at MPI runtime. Thus the MPI processes across different containers and VMs can communicate to each other by shared memory or Cross Memory Attach (CMA) channels instead of network channel if they are co-resident. We further propose an enhanced NUMA aware hybrid design to utilize InfiniBand loopback based channel to optimize large message transfer across containers when they are running on different sockets. Performance evaluations show that compared with the performance of the state-of-art (1Layer) design, our proposed enhance-hybrid design can bring up to 184%, 81% and 12% benefit on point-to-point, collective operations, and end applications. Compared with the default performance, our enhanced-hybrid design delivers up to 184%, 85% and 16% performance improvement.
Starting Page	187
Ending Page	200
Page Count	14
File Format	PDF
ISBN	9781450349482
DOI	10.1145/3050748.3050765
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Nested virtualization Cloud computing Container Hypervisor Cma Mpi Ivshmem Sr-iov
Content Type	Text
Resource Type	Article

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