| Autor: |
Arifa Nisar, Wei-keng Liao, Alok Choudhary, Scott Klasky, Jacqueline H. Chen, Avery Ching, Ramanan Sankaran, Kenin Coloma |
| Rok vydání: |
2007 |
| Předmět: |
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| Zdroj: |
SC |
| DOI: |
10.1145/1362622.1362634 |
| Popis: |
Typical large-scale scientific applications periodically write checkpoint files to save the computational state throughout execution. Existing parallel file systems improve such write-only I/O patterns through the use of client-side file caching and write-behind strategies. In distributed environments where files are rarely accessed by more than one client concurrently, file caching has achieved significant success; however, in parallel applications where multiple clients manipulate a shared file, cache coherence control can serialize I/O. We have designed a thread based caching layer for the MPI I/O library, which adds a portable caching system closer to user applications so more information about the application's I/O patterns is available for better coherence control. We demonstrate the impact of our caching solution on parallel write performance with a comprehensive evaluation that includes a set of widely used I/O benchmarks and production application I/O kernels. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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