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The Practice of I/O Optimizations for Out-of-Core Computation

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Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

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Abstract

Out-of-core computation needs high I/O performance as the out-of-core data stored in files has to be moved between memory and disks during the execution of an application program. In order to obtain better performance of out-of-core programs, two I/O optimizations are practiced, which are data prefetching and data reuse. This paper focuses on discussing the mechanism and implementation of each method and under which condition a method should be used. Several sets of experiments are taken to test the strategies and the results show that the I/O performance is efficiently improved by using these optimization methods.

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© 2004 Springer-Verlag Berlin Heidelberg

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Tang, J., Fang, B., Hu, M., Zhang, H. (2004). The Practice of I/O Optimizations for Out-of-Core Computation. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_20

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  • DOI: https://doi.org/10.1007/978-3-540-30501-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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