Cart (Loading....) | Create Account
Close category search window
 

Investigation of leading HPC I/O performance using a scientific-application derived benchmark

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Borrill, Julian ; Lawrence Berkeley National Laboratory, Berkeley, CA ; Oliker, L. ; Shalf, J. ; Hongzhang Shan

With the exponential growth of high-fidelity sensor and simulated data, the scientific community is increasingly reliant on ultrascale HPC resources to handle their data analysis requirements. However, to utilize such extreme computing power effectively, the I/O components must be designed in a balanced fashion, as any architectural bottleneck will quickly render the platform intolerably inefficient. To understand I/O performance of data-intensive applications in realistic computational settings, we develop a lightweight, portable benchmark called MADbench2, which is derived directly from a large-scale Cosmic Microwave Background (CMB) data analysis package. Our study represents one of the most comprehensive I/O analyses of modern parallel filesystems, examining a broad range of system architectures and configurations, including Lustre on the Cray XT3 and Intel Itanium2 cluster; GPFS on IBM Power5 and AMD Opteron platforms; two BlueGene/L installations utilizing GPFS and PVFS2 filesystems; and CXFS on the SGI Altix3700. We present extensive synchronous I/O performance data comparing a number of key parameters including concurrency, POSIX- versus MPI-IO, and unique- versus shared-file accesses, using both the default environment as well as highly-tuned I/O parameters. Finally, we explore the potential of asynchronous I/O and quantify the volume of computation required to hide a given volume of I/O. Overall our study quantifies the vast differences in performance and functionality of parallel filesystems across state-of-the-art platforms, while providing system designers and computational scientists a lightweight tool for conducting further analyses.

Published in:

Supercomputing, 2007. SC '07. Proceedings of the 2007 ACM/IEEE Conference on

Date of Conference:

10-16 Nov. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.