On integration of GUI and portal of cluster and grid computing platforms for parallel bioinformatics

  • Authors:
  • Chao-Tung Yang;Tsu-Fen Han;Heng-Chuan Kan;William C. Chu

  • Affiliations:
  • High Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung City, Taiwan;High Performance Computing Laboratory, Department of Computer Science and Information Engineering, Tunghai University, Taichung City, Taiwan;Biotechnology Group, Southern Business Unit, National Center for High-performance Computing, Tainan County, Taiwan;Department of Computer Science and Information Engineering, Tunghai University, Taichung City, Taiwan

  • Venue:
  • ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
  • Year:
  • 2006

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Abstract

In this paper, we implement an experimental distributed computing application for parallel bioinformatics. The system consists of the basic cluster and grid computing environment and user portal to provide a useful graphical interface for biologists who are not specialized in Information Technology (IT) to be able to easily take advantages of using high-performance computing resources. Finally, we perform several experimentations to demonstrate that cluster and grid computing platform indeed reduces the execution time of the biology problem.