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

High throughput grid computing with an IBM Blue Gene/L

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

5 Author(s)
Cope, J. ; Dept. of Comput. Sci., Univ. of Colorado, Boulder, CO ; Oberg, M. ; Tufo, H.M. ; Voran, T.
more authors

While much high-performance computing is performed using massively parallel MPI applications, many workflows execute jobs with a mix of processor counts. At the extreme end of the scale, some workloads consist of large quantities of single-processor jobs. These types of workflows lead to inefficient usage of massively parallel architectures such as the IBM Blue Gene/L (BG/L) because of allocation constraints forced by its unique system design. Recently, IBM introduced the ability to schedule individual processors on BG/L - a feature named high throughput computing (HTC) - creating an opportunity to exploit the systempsilas power efficiency for other classes of computing. In this paper, we present a Grid-enabled interface supporting HTC on BG/L. This interface accepts single-processor tasks using Globus GRAM, aggregates HTC tasks into BG/L partitions, and requests partition execution using the underlying system scheduler. By separating HTC task aggregation from scheduling, we provide the ability for workflows constructed using standard Grid middleware to run both parallel and serial jobs on the BG/L. We examine the startup latency and performance of running large quantities of HTC jobs. Finally, we deploy Daymet, a component of a coupled climate model, on a BG/L system using our HTC interface.

Published in:

Cluster Computing, 2007 IEEE International Conference on

Date of Conference:

17-20 Sept. 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.