A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI In the present paper, we propose a hybrid parallel method for large sparse eigenvalue problems in a grid computing environment. A moment-based method that finds several eigenvalues and their corresponding eigenvectors in a given domain is used. This method is suitable for master-worker type parallel programming models. In order to improve the parallel efficiency of the method, we propose a hybrid implementation using a GridRPC system Ninf-G and MPI. We examined the performance of the proposed method in an environment where several PC clusters are used.

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  1. Liu, Yinping; Yao, Ruoxia; Li, Zhibin; Yang, Le; Zhang, Zhian: An online computing and knowledge platform for differential equations (2016)
  2. Bouziane, Hinde Lilia; Pérez, Christian; Priol, Thierry: Extending software component models with the master-worker paradigm (2010)
  3. Collignon, Tijmen P.; van Gijzen, Martin B.: Two implementations of the preconditioned conjugate gradient method on heterogeneous computing grids (2010)
  4. Collignon, Tijmen P.; Van Gijzen, Martin B.: Parallel scientific computing on loosely coupled networks of computers (2010)
  5. Collignon, T.P.; van Gijzen, M.B.: Solving large sparse linear systems efficiently on Grid computers using an asynchronous iterative method as a preconditioner (2010)
  6. Tao, Fei; Hu, Yefa; Zhao, Dongming; Zhou, Zude: Study of failure detection and recovery in manufacturing grid resource service scheduling (2010)
  7. Hardt, M.; Seymour, K.; Dongarra, J.; Zapf, M.; Ruitter, N.V.: Interactive Grid-Access using GridSolve and giggle (2008) ioport
  8. Montagnat, Johan; Glatard, Tristan; Campos Plasencia, Isabel; Castejón, Francisco; Pennec, Xavier; Taffoni, Giuliano; Voznesensky, Vladimir; Vuerli, Claudio: Workflow-based data parallel applications on the EGEE production grid infrastructure (2008) ioport
  9. Munawar, Asim; Wahib, Mohamed; Munetomo, Masaharu; Akama, Kiyoshi: Parallel GEAS with linkage analysis over grid (2008)
  10. Alt, Martin: Using algorithmic skeletons for efficient grid computing with predictable performance. (2007)
  11. Fujisawa, Katsuki; Nakata, Kazuhide; Yamashita, Makoto; Fukuda, Mituhiro: SDPA project: solving large-scale semidefinite programs (2007)
  12. Gautier, Thierry; Hamidi, Hamid-Reza: Re-scheduling invocations of services for RPC grids (2007)
  13. Nakajima, Yoshihiro; Sato, Mitsuhisa; Aida, Yoshiaki; Boku, Taisuke; Cappello, Franck: Integrating computing resources on multiple grid-enabled job scheduling systems through a grid RPC system (2007) ioport
  14. Derbal, Youcef: Entropic grid scheduling (2006)
  15. Derbal, Youcef: Entropic grid scheduling (2006) ioport
  16. Derbal, Youcef: A probabilistic scheduling heuristic for computational grids (2006)
  17. Gunji, T.; Kim, S.; Fujisawa, K.; Kojima, M.: PHoMpara-parallel implementation of the polyhedral homotopy continuation method for polynomial systems (2006)
  18. Imamura, Toshiyuki; Naono, Ken: Automatic tuning technique exploring within the hardware-specific constrained parameters (2006)
  19. Klie, H.; Bangerth, W.; Gai, X.; Wheeler, M.F.; Stoffa, P.L.; Sen, M.; Parashar, M.; Catalyurek, U.; Saltz, J.; Kurc, T.: Models, methods and middleware for grid-enabled multiphysics oil reservoir management (2006) ioport
  20. Sakurai, Tetsuya; Kodaki, Yoshihisa; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei: A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI (2006)

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