Parallel Large Scale Simulations in the PL-Grid Environment

• Autorzy: Kurowski K. , Piontek T. , Kopta P. , Mamoński M. , Bosak B.
• Języki publikacji: EN

Abstrakty

EN

The growing demand for computational power causes that Grids are becoming mission-critical components in research and industry, offering sophisticated solutions in leveraging large-scale computing and storage resources. The nature a Grid in which resources are usually shared among multiple organizations offering resources under their control based on the “best effort” approach with no guarantee concerning the quality-of-service may be inadequate to support large-scale simulations. Requirements of such simulations often exceed capabilities of a single computing center causing the need to simultaneously allocate and synchronize resources belonging to many administrative domains whose functionality is missing in leading grid middlewares preventing researchers from executing large-scale simulations in grids. The paper presents tools and services that were designed to build multilayered infrastructure capable of dealing with computationally intensive large-scale simulations in the grid environment. The developed and deployed middleware enables computing clusters in different administrative domains to be virtually welded into a single powerful compute resource that can be treated as a quasi-opportunistic supercomputer. We describe the middleware developed in the QosCosGrid project and being enhanced under the PL-Grid national grid initiative, which provides advance reservation and resource co-allocation functionality as well as support for parallel large-scale applications based on OpenMPI (for C/C++ and Fortran) or ProActive for Java.

Słowa kluczowe

EN

grid computing; MPI; co-allocation; advance reservations

• Wydawca: Institute of Bioorganic Chemistry Scientific Publishers OWN, Polish Academy of Sciences
• Czasopismo: Computational Methods in Science and Technology
• Rocznik: 2010
• Tom: Vol. spec. iss. (1)
• Strony: 47--56
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Kurowski K.

autor

Piontek T.

autor

Kopta P.

autor

Mamoński M.

autor

Bosak B.

• Poznań Supercomputing and Networking Center, Poznań, Poland,

Bibliografia

• [1] Quasi Opportunistic Supercomputing for Complex Systems in Grid Environments. http://www.qoscosgrid.eu/
• [2] Polish Infrastructure for Information Science Support in the European Research Space PL-Grid. http://www.plgrid.pl/en
• [3] E. Gabriel, G.E. Fagg, G. Bosilca, T. Angskun, J.J. Dongarra, J.M. Squyres, V. Sahay, P. Kambadur, B. Barrett, Lumsdaine, R.H. Castain, D.J. Daniel, R.L. Graham, T.S. Woodal, Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation, Proceedings, 11th European PVM/MPI Users' Group Meeting.
• [4] D. Caromel, C. Delbe, A. di Costanzo, M. Leyton, Pro-Active: an Integrated Platform for Programming and Running Applications on Grids and P2P systems. Computational Methods in Science and Technology 12 (1), 69-77 (2006).
• [5] Open DRMAA Service Provider.http://sourceforge.net/projects/opendsp/
• [6] OGF DRMAA Working Group, http://www.drmaa.org/
• [7] GFD 114-HPC Basic Profile, Version 1.0.http://www.ogf.org/documents/GFD.114.pdf
• [8] OASIS Web Services Notification (WSN) Technical Committee. http://www.oasisopen._home.php?wg_abbrev=wsn
• [9] K. Kurowski, J. Nabrzyski, A. Oleksiak, J. Węglarz, Grid scheduling simulations with GSSIM. In Proceedings of the International Conference on Parallel and Distributed Systems, IEEE, 2:1–8, 2007. http://www.computer.org/portal/web/csdl/doi/10.1109/ICPADS.2007.4447835
• [10] Vine Toolkit, A better way to use the Grid. http://vinetoolkit.org/
• [11] X. Gonzea, B. Amadond, P.M. Anglade et al., ABINIT:First-principles approach to material and nanosystem properties. Computer Phys. Commun. 180, 2582-2615 (2009).