Experimental Study of Distributed SWAP-GA Models on the Grid

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概要

• 論文の詳細を見る

• Recently, the phenomenon which quantifies the agricultural and water management practices from remote sensing (RS) imagery, has been adapted to help the policy makers and farm/water managers to make better operational decisions. SWAP-GA is a combined model of the SWAP (Soil Water Atmosphere and Plant) crop model and the Remote Sensing (RS) data assimilation technique, which is optimized by Genetic Algorithm (GA). However, to run the SWAP-GA model on a single PC requires a massive amount of processing time. Based on the above observation, distributed or parallel computing can be a preeminent and convincing solution. At present, Multi-cluster Grids have emerged as the most popular type of distributed computing system. However, the performances of different parallelization methodologies on the Grid have not been discussed thoroughly. This paper presents the implementation of the SWAP-GA application and discusses its impact on the performance of parallelization methods.

• 一般社団法人 情報処理学会の論文

著者

• Aida Kento

  Tokyo Institute Of Technology Presto:presently With Tokyo Institute Of Technology

• Akhter Shamim

  Tokyo Institute of Technology

• Osawa Kiyoshi

  Tokyo Institute of Technology

• Nishimura Motokazu

  Tokyo Institute of Technology

• Aida Kento

  Tokyo Institute of Technology

関連論文

• Performance evaluation of distributed SWAP-GA models with GridRPC (ハイパフォーマンスコンピューティング・2007年並列/分散/協調処理に関する『旭川』サマー・ワークショップ(SWoPP旭川2007)--研究会・連続同時開催)
• Parallel Branch and Bound Algorithm with the Hierarchical Master-Worker Paradigm on the Grid(グリッド)
• Parallel Branch and Bound Algorithm with the Hierarchical Master-Worker Paradigm on the Grid
• Parallel Branch and Bound Algorithm with the Hierarchical Master-Worker Paradigm on the Grid
• Experimental Study of Distributed SWAP-GA Models on the Grid
• Interactive Application Scheduling with GridRPC

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