Pattern-aware file reorganization in MPI-IO
Proceedings of the sixth workshop on Parallel Data Storage
Memory-conscious collective I/O for extreme scale HPC systems
Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers
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Parallel I/O plays an increasingly important role in today's data intensive computing applications. While much attention has been paid to parallel read performance, most of this work has focused on the parallel file system, middleware, or application layers, ignoring the potential for improvement through more effective use of local storage. In this paper, we present the design and implementation of Segment-structuredOn-disk data Grouping and Prefetching (SOGP), a technique that leverages additional local storage to boost the local data read performance for parallel file systems, especially for those applications with partially overlapped access patterns. Parallel Virtual File System (PVFS) is chosen as an example. Our experiments show that an SOGP-enhanced PVFS prototype system can outperforma traditional Linux-Ext3-based PVFS for many applications and benchmarks, in some tests by as much as 230% in terms of I/O bandwidth.