• DOI:10.12921/CMST.2006.SI.01.47-54
Corpus ID: 62634014

A scalability Study of SGI Clustered XFS Using HDF Based AMR Application

@article{Saini2006ASS,
  title={A scalability Study of SGI Clustered XFS Using HDF Based AMR Application},
  author={S. Saini and Dale Talcott and H. Yeung and G. Myers and R. Ciotti},
  journal={computational methods in science and technology},
  year={2006},
  pages={47-54}
}

• S. Saini, Dale Talcott, +2 authors R. Ciotti
• Published 2006
• Computer Science
• computational methods in science and technology

Many large-scale parallel scientific and engineering applications, especially climate modeling, often run for lengthy periods and require data checkpointing periodically to save the state of the computation for a program restart. In addition, such applications need to write data to disks for post-processing, e.g., visualization. Both these scenarios involve a write-only pattern using Hierarchal Data Format (HDF) files. In this paper, we study the scalability of CXFS by HDF based Structured… Expand

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