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Efficient Workload Distribution Bridging HTC and HPC in Scientific Computing

  • Conference paper
Computational Science and Its Applications – ICCSA 2012 (ICCSA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7333))

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Abstract

GriF is a Workflow Management System designed to support users of the Molecular and Materials Sciences and Technologies COMPCHEM Virtual Organization. In particular, GriF manages the results of the parameter sweeping studies submitted to the Grid. This service has been recently extended to implement seamless access to both High Performance and High Throughput Computing architectures. To this end, the Workflow execution is splitted into single blocks whose execution is most suited to one or the other platform. This has been obtained by implementing a communication channel allowing interoperability between the gLite middleware operating on the Italian Grid Initiative segment accessible to COMPCHEM and the software stack operating on the CINECA machines. As a prototype application a high level ab initio calculation of the potential energy surface of few atom system has been implemented.

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Author information

Authors and Affiliations

  1. Department of Chemistry, University of Perugia, via Elce di Sotto, 8, 06123, Perugia, Italy

    Carlo Manuali & Antonio Laganà

  2. Department of Mathematics and Informatics, University of Perugia, via Vanvitelli, 1, 06123, Perugia, Italy

    Alessandro Costantini

  3. INFN-CNAF, viale Berti-Pichat, 4/3, 40127, Bologna, Italy

    Alessandro Costantini, Marco Cecchi & Antonia Ghiselli

  4. CINECA, via Magnanelli, 8, 40033, Casalecchio di Reno, Italy

    Michele Carpené & Elda Rossi

Authors
  1. Carlo Manuali
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  2. Alessandro Costantini
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  3. Antonio Laganà
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  4. Marco Cecchi
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  5. Antonia Ghiselli
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  6. Michele Carpené
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  7. Elda Rossi
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Editor information

Editors and Affiliations

  1. Laboratory of Urban and Territorial Systems, University of Basilicata, 10, Viale dell’Ateneo Lucano, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli 1, 06123, Perugia, Italy

    Osvaldo Gervasi

  3. Department of Cyber Security Science, Federal University of Technology, Gidan Kwano Campus, Minna, Nigeria

    Sanjay Misra

  4. Faculty of Engineering, Department of Electronics Engineering and Telecommunications, State University of Rio de Janeiro, Rua Sao Francisco Xavier, 524, 50. andar, sala 5145-F, Maracana, 20, 550-013, Rio de Janeiro, RJ, Brazil

    Nadia Nedjah

  5. Department of Production and Systems, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

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Manuali, C. et al. (2012). Efficient Workload Distribution Bridging HTC and HPC in Scientific Computing. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2012. ICCSA 2012. Lecture Notes in Computer Science, vol 7333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31125-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-31125-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31124-6

  • Online ISBN: 978-3-642-31125-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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