NDLI: One optimized i/o configuration per hpc application: leveraging the configurability of cloud.

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One optimized i/o configuration per hpc application: leveraging the configurability of cloud.

Content Provider	CiteSeerX
Author	Liu, Mingliang Zhai, Jidong Zhai, Yan Ma, Xiaosong Chen, Wenguang
Abstract	There is a trend to migrate HPC (High Performance Computing) applications to cloud platforms, such as the Amazon EC2 Cluster Compute Instances (CCIs). While existing research has mainly focused on the performance impact of virtualized environments and interconnect technologies on parallel programs, we suggest that the configurability enabled by clouds is another important dimension to explore. Unlike on traditional HPC platforms, on a cloud-resident virtual cluster it is easy to change the I/O configurations, such as the choice of file systems, the number of I/O nodes, and the types of virtual disks, to fit the I/O requirements of different applications. In this paper, we discuss how cloud platforms can be employed to form customized and balanced I/O subsystems for individual I/O-intensive MPI applications. Through our preliminary evaluation, we demonstrate that different applications will benefit from individually tailored I/O system configurations. For a given I/O-intensive application, different I/O settings may lead to significant overall application performance or cost difference (up to 2.5-fold). Our exploration indicates that customized system configuration for HPC applications in the cloud is important and non-trivial. 1.
File Format	PDF
Access Restriction	Open
Subject Keyword	Hpc Application Different Application Traditional Hpc Platform Preliminary Evaluation Important Dimension Cloud-resident Virtual Cluster Cloud Platform Amazon Ec2 Cluster Compute Instance Cost Difference Parallel Program File System Virtual Disk High Performance Computing Customized System Configuration Significant Overall Application Performance Interconnect Technology Performance Impact O-intensive Application System Configuration O-intensive Mpi Application Virtualized Environment
Content Type	Text

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