Henrique Andrade, Tahsin Kurc, Alan Sussman, Joel Saltz  Home/Search
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Abstract: This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve userdefined processing operations on data and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on... (Update)
Context of citations to this paper: More
...At the end, a global merge phase is executed to combine results from each node. A complete description of the middleware can be found in [2, 3]. We briefly describe some of components of the middleware framework that are relevant to detection of common subexpressions and...
...(c) distributed memory. tions and services that can accommodate the heterogeneous and dynamic nature of the Grid. In previous work [7, 8], we have developed a framework for efficiently executing multiple query workloads from data analysis applications on SMP machines and...
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BibTeX entry: (Update)
H. Andrade, T. Kurc, A. Sussman, and J. Saltz. Multiple query optimization for data analysis applications on clusters of SMPs. In Proceedings of the 2nd International Symposium on Cluster Computing and the Grid (to appear), Berlin, Germany, May http://citeseer.ist.psu.edu/474745.html More
@misc{ andrade-multiple,
author = "H. Andrade and T. Kurc and A. Sussman and J. Saltz",
title = "Multiple query optimization for data analysis applications on clusters
of SMPs",
text = "H. Andrade, T. Kurc, A. Sussman, and J. Saltz. Multiple query optimization
for data analysis applications on clusters of SMPs. In Proceedings of the
2nd International Symposium on Cluster Computing and the Grid (to appear),
Berlin, Germany, May",
url = "citeseer.ist.psu.edu/474745.html" }
Citations (may not include all citations):57 ACM Transactions on Database Systems (context) - Sellis - 1988 ACM
45 Digital dynamic telepathology - the Virtual Microscope - Afework, Beynon et al. - 1998
40 Parallel algorithms for the execution of relational database.. (context) - Bitton, Boral et al. - 1983 ACM DBLP
37 An overview of query optimization in relational systems - Chaudhuri - 1998 ACM DBLP
31 Adaptive parallel aggregation algorithms - Shatdal, Naughton ACM DBLP
15 Simultaneous optimization and evaluation of multiple dimensi.. - Zhao, Deshpande et al. ACM DBLP
15 Querying very large multi-dimensional datasets in ADR - Kurc, Chang et al. ACM
11 Performance impact of proxies in data intensive client-serve.. - Beynon, Sussman et al. ACM DBLP
9 Scheduling multiple data visualization query workloads on a .. - Andrade, Kurc et al. ACM DBLP
8 Efficient execution of multiple workloads in data analysis a.. (context) - Andrade, Kurc et al.
8 A hypergraph-based workload partitioning strategy for parall.. - Chang, Kurc et al. - 2001 DBLP
8 Multiple-query optimization at algorithm-level (context) - Kang, Dietz et al. - 1994 ACM DBLP
5 Query scheduling in multi query optimization (context) - Gupta, Sudarshan et al. - 2001 ACM DBLP
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