Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Supporting Efficient Execution of MPI Applications Across Multiple Sites

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 4128))

Included in the following conference series:

Abstract

One of the main goals of the CrossGrid Project [1] is to provide explicit support to parallel and interactive compute- and data- intensive applications. The CrossBroker job manager provides services as part of the CrossGrid middleware and allows execution of parallel MPI applications on Grid resources in a transparent and automatic way. This document describes the design and implementation of the key components responsible for an efficient and reliable execution of MPI jobs splitted over multiple Grid sites, executed either in an on-line or batch manner. We also provide details on the overheads introduced by our system, as well as an experimental study showing that our system is well-suited for embarrassingly parallel applications.

This work was made in the frame of the ”int-eu.grid” project (sponsored by the European Union), and supported by the MEyC-Spain under contract TIN 2004-03388, and partially supported by the NATO under contract EST.EAP.CLG 981032.

Similar content being viewed by others

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. EU-CrossGrid (2004),http://www.eu-crossgrid.org

  2. Schopt, J.M.: Ten Actions When Grid Scheduling. In: Grid Resource Management - State of the Art and Future Trends, Kluwer Academic Publishers, Dordrecht (2003)

    Google Scholar 

  3. Karonis, N.T., et al.: Mpich-g2: A grid-enabled implementation of the message passing interface. J. Parallel Distrib. Comput. 63(5), 551–563 (2003)

    Article MATH  Google Scholar 

  4. Bucur, A., Epema, D.: The performance of processor co-allocation in multicluster. In: 11th Int. Symp on High Perf. Distr. Comp. (2002)

    Google Scholar 

  5. Wang, L., et al.: Resource co-allocation for parallel tasks in computational grids. In: Int. Workshop on Challenges of Large Apps. in Dist. Env. (2003)

    Google Scholar 

  6. Czajkowski, K., Foster, I., Kesselman, C.: Resource co-allocation in computational grids. In: Proceedings of the HPDC-8, pp. 219–228 (1999)

    Google Scholar 

  7. Lindner, P., et al.: Gcm: a grid configuration manager for heterogeneous grid enviromnents. Int. J. Grid and Utility Computing 1(1), 4–12 (2005)

    Article  Google Scholar 

  8. Gabriel, E., et al.: Distributed computing in a heterogenous computing environment. In: EuroPVMMPI 1998 (1998)

    Google Scholar 

  9. Heymann, E., et al.: Managing mpi applications in grid environments. In: European Across Grids Conference, pp. 42–50 (2004)

    Google Scholar 

  10. Pazini, F.: Jdl attibutes. Technical report, European Datagrid Project (2001)

    Google Scholar 

  11. Raman, R., et al.: Matchmaking: Distributed resource management for high throughput computing. In: HPDC-7, Chicago, IL (1998)

    Google Scholar 

  12. Thain, D., et al.: Condor and the grid. In: Grid Computing: Making the Global Infrastructure a Reality, John Wiley & Sons Inc., Chichester (2003)

    Google Scholar 

  13. Gutiérrez, A., et al.: Parallelization of a neural net training program in a grid environment. In: PDP 2004, pp. 258–265 (2004)

    Google Scholar 

  14. Cameron, D., et al.: Replica management services in the european datagrid project. In: UK e-Science All Hands Conference (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departament d’Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Barcelona, Spain

    Enol Fernández, Elisa Heymann & Miquel Àngel Senar

Authors
  1. Enol Fernández

    You can also search for this author inPubMed Google Scholar

  2. Elisa Heymann

    You can also search for this author inPubMed Google Scholar

  3. Miquel Àngel Senar

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. ZIH, TU Dresden, Germany

    Wolfgang E. Nagel

  2. Fakultät Mathematik, Institut für wissenschaftliches Rechnen, TU Dresden, 01062, Dresden, Germany

    Wolfgang V. Walter

  3. Database Technology Group, Technische Universität Dresden, Germany

    Wolfgang Lehner

Rights and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernández, E., Heymann, E., Senar, M.À. (2006). Supporting Efficient Execution of MPI Applications Across Multiple Sites. In: Nagel, W.E., Walter, W.V., Lehner, W. (eds) Euro-Par 2006 Parallel Processing. Euro-Par 2006. Lecture Notes in Computer Science, vol 4128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11823285_40

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp