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Abstract-MPI-I/O defines a high-level file interface that enables multiple ranks to share a random access file. It would be highly attractive to grid-computing users that files are automatically partitioned and transfered to remote sites where their jobs can access the files through MPI-I/O. We are currently implementing in the AgentTeamwork grid-computing middleware system a series of these file-handling features including: file partitioning into strides, stride distribution to multiple processes, stride access through our MPI-I/O-oriented random access file class, stride exchange among processes, and barrier synchronization support. Particularly focusing on a design of our random access file class, this paper presents an implementation and performance results of AgentTeamwork's file-partitioning and stride-maintenance schemes.

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PC grid is a cost-effective grid-computing platform that attracts users by allocating to their

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