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IB网上CPU-GPU异构超算平台容器性能评估及优化
引用本文:胡鹤,赵毅,王宪贺. IB网上CPU-GPU异构超算平台容器性能评估及优化[J]. 计算机工程与应用, 2021, 57(18): 82-85. DOI: 10.3778/j.issn.1002-8331.2008-0449
作者姓名:胡鹤  赵毅  王宪贺
作者单位:中国科学院 计算机网络信息中心,北京 100190
摘    要:为了实现资源和系统环境的隔离,近年来新兴了多种虚拟化工具,容器便是其中之一.在超算资源上运行的问题通常是由软件配置引起的.容器的一个作用就是将依赖打包进轻量级可移植的环境中,这样可以提高超算应用程序的部署效率.为了解基于IB网的CPU-GPU异构超算平台上容器虚拟化技术的性能特征,使用标准基准测试工具对Docker容器...

关 键 词:容器  超算  性能  基准测试  优化

Evaluation and Optimization of Container Performance on Heterogeneous Supercomputing Platforms of CPU-GPU on IB Network
HU He,ZHAO Yi,WANG Xianhe. Evaluation and Optimization of Container Performance on Heterogeneous Supercomputing Platforms of CPU-GPU on IB Network[J]. Computer Engineering and Applications, 2021, 57(18): 82-85. DOI: 10.3778/j.issn.1002-8331.2008-0449
Authors:HU He  ZHAO Yi  WANG Xianhe
Affiliation:Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
Abstract:The container technology has been paid much attention as an virtualization tool in recent years, which can isolate resources and system environments. Containers help supercomputing applications to package dependencies into a lightweight and portable environment, and improve the effectiveness of application deployment. Containers have performance overhead in the process of virtualizing. In order to understand the performance characteristics of container virtualization on heterogeneous supercomputing platforms of CPU-GPU on IB network, standard benchmarks are used to conduct a comprehensive performance evaluation, including I/O, parallel communication and GPU computing. The evaluation results show that, as for I/O and GPU, the container has tiny overhead. The parallel communication overhead of the container increases with the increase of network load. An optimization method is proposed to give best performance of the container, which provides a basis for users to design applications and perform system configuration.
Keywords:container  supercomputing  performance  benchmark  optimization  
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