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Biomedical applications on the GRID: Efficient management of parallel jobs

Conference Paper


Abstract

  • Distributed computing based on the Master-Worker and PULL interaction model is applicable to a number of applications in high energy physics, medical physics and bioinformatics. We demonstrate a realistic medical physics use-case of a dosimetric system for brachytherapy using distributed GRID resources. We present the efficient techniques for running parallel jobs in a case of the BLAST, a gene sequencing application, as well as for the Monte Carlo simulation based on Geant 4. We present a strategy for improving the runtime performance and robustness of the jobs as well as for the minimization of the development time needed to migrate the applications to a distributed environment. © 2004 IEEE.

Publication Date

  • 2004

Citation

  • Moscicki, J. T., Lee, H. C., Guatelli, S., Lin, S. C., & Pia, M. G. (2004). Biomedical applications on the GRID: Efficient management of parallel jobs. In IEEE Nuclear Science Symposium Conference Record Vol. 4 (pp. 2143-2147).

Scopus Eid

  • 2-s2.0-23844505416

Start Page

  • 2143

End Page

  • 2147

Volume

  • 4

Abstract

  • Distributed computing based on the Master-Worker and PULL interaction model is applicable to a number of applications in high energy physics, medical physics and bioinformatics. We demonstrate a realistic medical physics use-case of a dosimetric system for brachytherapy using distributed GRID resources. We present the efficient techniques for running parallel jobs in a case of the BLAST, a gene sequencing application, as well as for the Monte Carlo simulation based on Geant 4. We present a strategy for improving the runtime performance and robustness of the jobs as well as for the minimization of the development time needed to migrate the applications to a distributed environment. © 2004 IEEE.

Publication Date

  • 2004

Citation

  • Moscicki, J. T., Lee, H. C., Guatelli, S., Lin, S. C., & Pia, M. G. (2004). Biomedical applications on the GRID: Efficient management of parallel jobs. In IEEE Nuclear Science Symposium Conference Record Vol. 4 (pp. 2143-2147).

Scopus Eid

  • 2-s2.0-23844505416

Start Page

  • 2143

End Page

  • 2147

Volume

  • 4