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- W83026577 abstract "AbstractWith the rate of computing power growing much faster than that of storage I/O access, parallel applications suffer more from I/O latency. I/O prefetching is effective in hiding I/O latency. However, existing I/O prefetching techniques are conservative and their effectiveness is limited. Recently, a more aggressive prefetching approach named pre-execution prefetching [19] has been proposed. In this paper, we first identify the drawback of this pre-execution prefetching approach, and then propose a new method to overcome the drawback by scheduling the I/O operations between the main thread and the prefetching thread. By careful I/O scheduling, our approach further extends the computation and I/O concurrency and avoids the I/O competition within one process. The results of extensive experiments, including experiments on real-life applications such as big matrix manipulation and Hill encryption, demonstrate the benefits of the proposed approach.KeywordsExecution TimeParallel ApplicationTotal Execution TimeLatency ReductionChunk SizeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W83026577 date "2013-01-01" @default.
- W83026577 modified "2023-09-27" @default.
- W83026577 title "Pre-execution Data Prefetching with Inter-thread I/O Scheduling" @default.
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- W83026577 doi "https://doi.org/10.1007/978-3-642-38750-0_30" @default.
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