M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multidimensional data in parallel and distributed environments. Parallel Computing (Special issue on Parallel data-intensive algorithms and applications), 28(5):827--859, May 2002. Home/Search Document Details and Download
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M. Beynon, C. Chang, U. atalyrek, T. Kur, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multi-dimensional data in parallel and distributed environments. Parallel Computing, 28(5):827--859, 2002.
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....so that it can be used to completely or partially satisfy a new query. We call the use of such projection operations active caching. With this mechanism, the system has a better chance to exploit reuse than with conventional caching. Based on our experience with Kronos and other applications [2, 11, 14, 27], we have identified four kinds of projection primitives based on the type of reuse they can leverage: dimensional overlap, composable reduction operations, invertible functions, and inductive functions. Dimensional (Spatio temporal) Overlap Primitives: In applications dealing with range ....
M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multidimensional data in parallel and distributed environments. Parallel Computing, 28(5):827--859, May 2002. Special issue on Data Intensive Computing.
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....of filters P, F, and C. Figure 2: DataCutter stream abstraction and support for copies. gramming model. DataCutter provides support for developing applications that execute generalized reduction operations, which are common in the data processing kernel of many data analysis applications [6, 14]. This type of processing consists of retrieving the data of interest and performing user defined transformation, mapping, and aggregation operations on the data. The transformation and aggregation functions in generalized reduction operations are associative and commutative. That is, the result ....
M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multidimensional data in parallel and distributed environments. Parallel Computing, 2002. To appear in special issue on Data Intensive Computing.
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M. Beynon, C. Chang, U. Catalyurek, T. Kurc, A. Sussman, H. Andrade, R. Ferreira, and J. Saltz. Processing large-scale multidimensional data in parallel and distributed environments. Parallel Computing (Special issue on Parallel data-intensive algorithms and applications), 28(5):827--859, May 2002.
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Beynon, M., Chang, C., Catalyurek, U., Kurc, T., Sussman, A., Andrade, H., Ferreira, R., and Saltz, J., "Processing Large-Scale Multidimensional Data in Parallel and Distributed Environments," Parallel Computing, 2002.
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