INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING AND NETWORKING 1 Evaluating Structured I/O Methods for Parallel File Systems

Abstract — Modern data-intensive structured datasets constantly undergo manipulation and migration through parallel scientific applications. Directly supporting these time consuming operations is an important step in providing high-performance I/O solutions for modern large-scale applications. High-level interfaces such as HDF5 and Parallel netCDF provide convenient APIs for accessing structured datasets, and the MPI-IO interface also supports efficient access to structured data. Parallel file systems do not traditionally support such structured access from these higher level interfaces. In this work we present two contributions. First, we demonstrate an implementation of structured data access support in the context of the Parallel Virtual File System (PVFS). We call this support “datatype I/O ” because of its similarity to MPI datatypes. This support is built by using a reusable datatypeprocessing component from the MPICH2 MPI implementation. The second contribution of this work is a comparison of I/O characteristics when using modern high-performance noncontiguous I/O methods. We use our I/O characteristics comparison to assess the performance of all the noncontiguous I/O methods using three test applications. We also point to further optimizations that could be leveraged for even more efficient operation