Abstract
We describe an experiment in the development of an efficient Java support for task farm computations. The support allows Java programmers to rapidly develop parallel task farm applications starting from the plain sequential code. The target architecture we considered during the development of the support is a cluster of Unix workstations. We show experimental results that demonstrate the feasibility of the approach and we discuss the performance of this Java task farm support used on a typical workstation cluster. The task farm support discussed here is the first step towards the implementation of a full skeleton based parallel programming environment in Java.
This work has been partially funded by the Italian projects MOSAICO and PQE2000
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
The Beowulf Project. http://www.beowulf.org.
M. Aldinucci and M. Danelutto. Stream parallel skeleton optimisations, Proc. of the Eleventh IASTED International Conference Parallel and Distributed Computing and Systems, pages 955–962, November 1999. MIT Boston, USA.
P. Au, J. Darlington, M. Ghanem, Y. Guo, H.W. To, and J. Yang. Co-ordinating heterogeneous parallel computation. In L. Bouge, P. Fraigniaud, A. Mignotte, and Y. Robert, editors, Europar’ 96, pages 601–614. Springer-Verlag, 1996.
B. Bacci, M. Danelutto, S. Orlando, S. Pelagatti, and M. Vanneschi. P3L: A Structured High level programming language and its structured support. Concurrency Practice and Experience, 7(3):225–255, May 1995.
M. Baker and R. Buyya. Cluster Computing at a Glance. In Rajkumar Buyya, editor, High Performance Cluster Computing, pages 3–47. Prentice Hall, 1999.
S. Benkner and H. Zima. Compiling High Performance Fortran for distributed memory architectures. Parallel Computing, 25(13–14):1785–1825, December 1999.
George Horatiu Botorog and Herbert Kuchen. Efficient high-level parallel programming. Theoretical Computer Science, 196(1–2):71–107, April 1998.
B. O. Christiansen, P. Cappello, M. F. Ionescu, M. O. Neary, K. E. Schauser, and D. Wu. Javelin: Internet-based parallel computing using Java. Concurrency: Practice and Experience, 9(11):1139–1160, November 1997.
M. Cole. Algorithmic Skeletons: Structured Management of Parallel Computations. Research Monographs in Parallel and Distributed Computing. Pitman, 1989.
M. Danelutto. Dynamic Run Time Support for Skeletons. In Proceedings of the PARCO’99 Conference, August 1999. Delft, The Netherlands.
High Performance FORTRAN Forum. High Performance FORTRAN Language Specification. Technical Report Rice University, Houston, TX, January 1997.
M. Gimbel, M. Philippsen, B. Haumacher, P. C. Lockemann, and W. F. Tichy. Java ad a Basis for Parallel Data Mining in Worlstation Clusters. In P. Sloot, M. Bubak, A. Hoekstra, and B. Hertzberger, editors, Proceedings of HPCN’99 Conference, pages 884–894. Springer Verlag, 1999. LNCS No. 1593.
D. C. Hyde. Java and Different Flavors of Parallel Programming Models. In Rajkumar Buyya, editor, High Performance Cluster Computing, pages 274–290. Prentice Hall, 1999.
P. Launay and J. L. Pazat. A Framework for Parallel Programming in Java. In P. Sloot, M. Bubak, and B. Hertzberger, editors, Proceedings of the HPCN’98 Conference, pages 628–637. Springer Verlag, LNCS, 1998.
M. Migliardi and V. Sunderam. Networking Performance for Metacomputing in Java. In Proc. of the IASTED International Conference on Parallel and Distributed Computing and Systems, pages 220–225, November 1999. MIT Boston, U.S.A.
P. S. Pacheco. Parallel Programming with MPI. Morgan Kaufmann, 1997.
S. Pelagatti. Structured Development of Parallel Programs. Taylor & Francis, 1998.
M. P. Pletzbert and R. K. Cytron. Does “Just in Time” = “Better Late than Never”. In Proceedings of the POPL’97: The 24th ACM SIGPLAN-SIGACT Symp. on Principles of Programming Languages, pages 120–131, 1997.
J. Serot, D. Ginhac, and J.P. Derutin. SKiPPER: A Skeleton-Based Parallel Programming Environment for Real-Time Image Processing Applications. In Proceedings of the 5th International Parallel Computing Technologies Conference (PaCT-99), September 1999.
L. M. Silva. Web-Based Parallel Computing with Java. In Rajkumar Buyya, editor, High Performance Cluster Computing, pages 310–326. Prentice Hall, 1999.
V. S. Sunderam and G. A. Geist. Heterogeneous parallel and distributed computing. Parallel Computing, 25(13–14):1699–1721, December 1999.
M. Vanneschi. PQE2000: HPC tools for industrial applications. IEEE Concurrency, 6(4):68–73, 1998.
B. Wilkinson and M. Allen. Parallel Programming. Techniques and Applications Using Networked Workstations and Parallel Computers. Prentice Hall, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Danelutto, M. (2000). Task Farm Computations in Java. In: Bubak, M., Afsarmanesh, H., Hertzberger, B., Williams, R. (eds) High Performance Computing and Networking. HPCN-Europe 2000. Lecture Notes in Computer Science, vol 1823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45492-6_38
Download citation
DOI: https://doi.org/10.1007/3-540-45492-6_38
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67553-2
Online ISBN: 978-3-540-45492-2
eBook Packages: Springer Book Archive