IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems

@article{Kim2014IOProAP,
  title={IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems},
  author={Seong Jo Kim and Yuanrui Zhang and Seung Woo Son and Mahmut T. Kandemir and Wei-keng Liao and Rajeev Thakur and Alok N. Choudhary},
  journal={The Journal of Supercomputing},
  year={2014},
  volume={71},
  pages={840-870}
}
Efficient execution of large-scale scientific applications requires high-performance computing systems designed to meet the I/O requirements. To achieve high-performance, such data-intensive parallel applications use a multi-layer layer I/O software stack, which consists of high-level I/O libraries such as PnetCDF and HDF5, the MPI library, and parallel file systems. To design efficient parallel scientific applications, understanding the complicated flow of I/O operations and the involved… CONTINUE READING

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