Abstract
There has been a tremendous shift towards using clusters and networks of low-cost computers for high performance computing. High performance can be achieved by appropriate remodularization of computationally intensive programs. An appropriate modular structure of program exploits the inherent concurrency in the execution of the program. In this article a new relation to determine suitable modular structure for distributing programs across the network is presented. The relation is built automatically by analyzing the program call flow graph. The proposed relation outperforms the existing relation for computing the amount of concurrency in a distributed code by considering, situations in which more than one method are supposed to be executed on a single computational node.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chen, M.K., Olukotun, K.: The jrpm system for dynamically parallelizing java programs. In: ISCA 2003: Proceedings of the 30th annual international symposium on Computer architecture, pp. 434–446. ACM, New York (2003)
Bal, H.E., Kaashoek, M.F.: Object distribution in orca using compile-time and run-time techniques. In: OOPSLA 1993: Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications, pp. 162–177. ACM, New York (1993)
Deb, D., Fuad, M., Oudshoorn, M.: Towards Autonomic Distribution of Existing Object Oriented Programs. In: International Conference on Autonomic and Autonomous Systems, 2006, p. 17 (2006)
Parsa, S., Bushehrian, O.: Performance-driven object-oriented program re-modularisation. IET Software 2, 362–378 (2008)
Chan, B., Abdelrahman, T.S.: Run-time support for the automatic parallelization of java programs. J. Supercomput. 28, 91–117 (2004)
Astley, M., Agha, G.: Modular construction and composition of distributed software architectures. In: PDSE 1998: Proceedings of the International Symposium on Software Engineering for Parallel and Distributed Systems, Washington, DC, USA, p. 2. IEEE Computer Society, Los Alamitos (1998)
Parsa, S., Bushehrian, O.: On the Optimal Object-Oriented Program Re-modularization. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2007. LNCS, vol. 4487, pp. 599–602. Springer, Heidelberg (2007)
Tahvildari, L., Kontogiannis, K., Mylopoulos, J.: Quality-driven software re-engineering. J. Syst. Softw. 66, 225–239 (2003)
Schoeberl, M.: A time predictable Java processor. In: Proceedings of Design, Automation and Test in Europe, 2006. DATE 2006, vol. 1 (2006)
Schoeberl, M.: Jop: A java optimized processor for embedded real-time systems. Technischen Universität Wien, Fakultät für Informatik (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Parsa, S., Hamzei, M. (2010). An Improved Technique for Program Remodularization. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-11842-5_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11841-8
Online ISBN: 978-3-642-11842-5
eBook Packages: Computer ScienceComputer Science (R0)