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

Grid-enabled hydropad: A scientific application for benchmarking GridRPC-based programming systems

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

2 Author(s)
Guidolin, M. ; Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland ; Lastovetsky, A.

GridRPC is a standard API that allows an application to easily interface with a Grid environment. It implements a remote procedure call with a single task map and client-server communication model. In addition to non-performance-related benefits, scientific applications having large computation and small communication tasks can also obtain important performance gains by being implemented in GridPRC. However, such convenient applications are not representative of the majority of scientific applications and therefore cannot serve as fair benchmarks for comparison of the performance of different GridRPC-based systems. In this paper, we present Hydropad, a real life astrophysical simulation, which is composed of tasks that have a balanced ratio between computation and communication. While Hydropad is not the ideal application for performance benefits from its implementation with GridRPC middleware, we show how even its performance can be improved by using GridSolve and SmartGridSolve. We believe that the Grid-enabled Hydropad is a good candidate application to benchmark GridRPC-based programming systems in order to justify their use for high performance scientific computing.

Published in:

Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on

Date of Conference:

23-29 May 2009

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.