Abstract
As the number of nodes in cluster systems continues to grow, leveraging scalable algorithms in all aspects of such systems becomes key to maintaining performance. While scalable algorithms have been applied successfully in some areas of parallel I/O, many operations are still performed in an uncoordinated manner. In this work we consider, in three file system scenarios, the possibilities for applying scalable algorithms to the many operations that make up the MPI-IO interface. From this evaluation we extract a set of file system characteristics that aid in developing scalable MPI-IO implementations. © Springer-Verlag 2004.
Cite
CITATION STYLE
Latham, R., Ross, R., & Thakur, R. (2004). The impact of file systems on MPI-IO scalability. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3241, 87–96. https://doi.org/10.1007/978-3-540-30218-6_18
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