Hiding I/O latency with pre-execution prefetching for parallel applications
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Parallel I/O prefetching using MPI file caching and I/O signatures
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Towards scalable I/O architecture for exascale systems
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
Eco-Storage: A Hybrid Storage System with Energy-Efficient Informed Prefetching
Journal of Signal Processing Systems
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Parallel applications can benefit greatly from massive computational capability, but their performance usually suffers due to large latency in I/O accesses. Conventional I/O prefetching techniques are conservative and are limited by low accuracy and coverage. As the processor performance has been increasing rapidly and the computing power is virtually free, we introduce a novel speculative approach for comprehensive and aggressive parallel I/O prefetching in this study. We present the design of our approach as well as challenges, solutions, and our prototype implementation. The experiments have shown promising results in reducing I/O access latency.