Virtual machine aware communication libraries for high performance computing

Wei Huang, Matthew J. Koop, Qi Gao, D. Panda
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引用次数: 122

Abstract

As the size and complexity of modern computing systems keep increasing to meet the demanding requirements of High Performance Computing (HPC) applications, manageability is becoming a critical concern to achieve both high performance and high productivity computing. Meanwhile, virtual machine (VM) technologies have become popular in both industry and academia due to various features designed to ease system management and administration. While a VM-based environment can greatly help manageability on large-scale computing systems, concerns over performance have largely blocked the HPC community from embracing VM technologies. In this paper, we follow three steps to demonstrate the ability to achieve near-native performance in a VM-based environment for HPC. First, we propose Inter-VM Communication (IVC), a VM-aware communication library to support efficient shared memory communication among computing processes on the same physical host, even though they may be in different VMs. This is critical for multi-core systems, especially when individual computing processes are hosted on different VMs to achieve fine-grained control. Second, we design a VM-aware MPI library based on MVAPICH2 (a popular MPI library), called MVAPICH2-ivc, which allows HPC MPI applications to transparently benefit from IVC. Finally, we evaluate MVAPICH2-ivc on clusters featuring multi-core systems and high performance InfiniBand interconnects. Our evaluation demonstrates that MVAPICH2-ivc can improve NAS Parallel Benchmark performance by up to 11% in VM-based environment on eight-core Intel Clover-town systems, where each compute process is in a separate VM. A detailed performance evaluation for up to 128 processes (64 node dual-socket single-core systems) shows only a marginal performance overhead of MVAPICH2-ivc as compared with MVAPICH2 running in a native environment. This study indicates that performance should no longer be a barrier preventing HPC environments from taking advantage of the various features available through VM technologies.
用于高性能计算的虚拟机感知通信库
随着现代计算系统的规模和复杂性不断增加,以满足高性能计算(HPC)应用的要求,可管理性成为实现高性能和高生产力计算的关键问题。同时,虚拟机(VM)技术由于其各种简化系统管理和管理的特性而在工业界和学术界都很流行。虽然基于VM的环境可以极大地帮助大规模计算系统的可管理性,但对性能的担忧在很大程度上阻碍了HPC社区采用VM技术。在本文中,我们遵循三个步骤来演示在基于vm的HPC环境中实现接近本机性能的能力。首先,我们提出了虚拟机间通信(IVC),这是一个虚拟机感知通信库,用于支持同一物理主机上的计算进程之间的高效共享内存通信,即使它们可能位于不同的虚拟机中。这对于多核系统至关重要,特别是当单个计算进程托管在不同的vm上以实现细粒度控制时。其次,我们设计了一个基于MVAPICH2(一种流行的MPI库)的vm感知MPI库,称为MVAPICH2- IVC,它允许HPC MPI应用程序透明地从IVC中受益。最后,我们在具有多核系统和高性能InfiniBand互连的集群上评估了MVAPICH2-ivc。我们的评估表明,MVAPICH2-ivc可以在基于虚拟机的八核英特尔Clover-town系统环境中将NAS并行基准性能提高11%,其中每个计算进程都在单独的虚拟机上。对多达128个进程(64节点双插槽单核系统)的详细性能评估显示,与在本机环境中运行的MVAPICH2相比,MVAPICH2-ivc的性能开销很小。这项研究表明,性能不应再成为阻碍高性能计算环境利用VM技术提供的各种特性的障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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