A. Shatdal, "Architectural Considerations for Parallel Query Evaluation Algorithms," Technical Report CS-TR-1996-1321, Univ. of Wisconsin, 1999. Home/Search Document Details and Download
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Compiler Support for Efficient Processing of XML Datasets - Li, Ferreira, Agrawal (2003) (Correct)
....operations [23] However, the structure of join operations is very different from reduction computations. In the database community, optimization of aggregation and group by queries has been studied by many researchers. For example, Shatdal has studied SMP parallelization of aggregation queries [30]. However, the reductions involved in our target applications are significantly more complex, and cannot be expressed or processing efficiently using SQL like languages. Our contribution in this paper is demonstrating how XQuery can be used for expressing them, and aggressive transformations can ....
Ambuj Shatdal. Architectural considerations for parallel query evaluation algorithms. Technical Report CS-TR-1996-1321, University of Wisconsin, 199.
Shared Memory Parallelization of Data Mining Algorithms.. - Jin, Yang, Agrawal (2004) (1 citation) (Correct)
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A. Shatdal, "Architectural Considerations for Parallel Query Evaluation Algorithms," Technical Report CS-TR-1996-1321, Univ. of Wisconsin, 1999.
Compiler Support for Efficient Processing of XML Datasets - Li, Ferreira, Agrawal (2003) (Correct)
No context found.
Ambuj Shatdal. Architectural considerations for parallel query evaluation algorithms. Technical Report CS-TR-1996-1321, University of Wisconsin, 199.
Supporting High-level Abstractions through XML Technology - Li, Agrawal (Correct)
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Ambuj Shatdal. Architectural considerations for parallel query evaluation algorithms. Technical Report CS-TR-1996-1321, University of Wisconsin, 1996.
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