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

New techniques for simulating high performance MPI applications on large storage networks

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)
Nunez, A. ; Comput. Sci. Dept., Univ. Carlos III de Madrid, Madrid ; Fernández, J. ; Garcia, J.D. ; Carretero, J.

In this paper we present new techniques for simulating high performance MPI applications on large storage networks. Performance analysis of high performance application on large storage networks is a very complex and time-consuming task. However, modelling and studying the behaviour of any application on complex network architectures is crucial to obtain good performance. The goal of this work is to predict both scalability degree and performance of any high computing applications on any network architecture. A very interesting feature of this work is that our approach does not require to modify the application in order to simulate its behaviour. Also, there is no need to modify the simulator code to test different architectures. It can be done just creating a new configuration file. In order to perform those analyses we have used SIMCAN, a simulation tool to analyzing high-performance I/O architectures, developed at University Carlos III de Madrid. To validate this work we have used the BIPS3D application on several hardware-based architectures and on our simulator. The comparative results of those environments are presented to show the accuracy and efficiency of our approach.

Published in:

Cluster Computing, 2008 IEEE International Conference on

Date of Conference:

Sept. 29 2008-Oct. 1 2008

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.