Implementing a parallel NetCDF interface for seamless remote I/O using multi-dimensional data

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Abstract

Parallel netCDF supports parallel I/O operations for a view of data as a collection of self-describing, portable, and array-oriented objects that can be accessed through a simple interface. Its parallel I/O operations are realized with the help of an MPI-I/O library. However, such the operations are not available in remote I/O operations. So, a remote I/O mechanism of a Stampi library was introduced in an MPI layer of the parallel netCDF to realize such the operations. This system was evaluated on two interconnected PC clusters, and sufficient performance was achieved with a huge amount of data. © 2008 Springer Berlin Heidelberg.

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APA

Tsujita, Y. (2008). Implementing a parallel NetCDF interface for seamless remote I/O using multi-dimensional data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5336 LNCS, pp. 69–82). https://doi.org/10.1007/978-3-540-92859-1_9

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