Scalable loop self-scheduling schemes for heterogeneous clusters
by Anthony T. Chronopoulos, Satish Penmatsa, Ning Yu, Du Yu
International Journal of Computational Science and Engineering (IJCSE), Vol. 1, No. 2/3/4, 2005

Abstract: Heterogeneous cluster systems (e.g., a LAN of computers) can be used for concurrent processing for some applications. However, a serious difficulty in concurrent programming of a heterogeneous system is how to deal with scheduling and load balancing of such a system that may consist of heterogeneous computers. Distributed scheduling schemes suitable for parallel loops with independent iterations on heterogeneous computer clusters have been proposed and analysed in the past. Here, we implement the previous schemes in MPI. We present an extension of these schemes implemented in a hierarchical Master–Slave architecture and include experimental results and comparisons.

Online publication date: Fri, 05-May-2006

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email