H. Andrade, T. Kurc, A. Sussman, and J. Saltz. Multiple query optimization for data analysis applications on clusters of SMPs. In Proceedingsof the 2nd IEEE/ACM International Symposiumon Cluster Computing and the Grid, Berlin, Germany, May 2002. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
On Cache Replacement Policies for Servicing Mixed.. - Andrade, Kurc.. (2002) Self-citation (Andrade Kurc Sussman Saltz) (Correct)
No context found.
H. Andrade, T. Kurc, A. Sussman, and J. Saltz. Multiple query optimization for data analysis applications on clusters of SMPs. In Proceedingsof the 2nd IEEE/ACM International Symposiumon Cluster Computing and the Grid, Berlin, Germany, May 2002.
Exploiting Functional Decomposition for Efficient.. - Andrade, Kurc.. (2002) Self-citation (Andrade Kurc Sussman Saltz) (Correct)
....Therefore, we take a bottom up approach in which the high level operators responsible for the query processing chain are described in terms of low level primitives implemented by the application developer. The query processing system uses this information to infer points of reuse. In earlier work [5, 6, 7, 8, 9], we investigated frameworks, query scheduling, and cache replacement issues for data analysis applications. This paper differs from our previous work in that we look at the effect on data reuse of functional decomposition. There are a number of research projects that focus on component based ....
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 IEEE/ACM International Symposium on Cluster Computing and the Grid, Berlin, Germany, May 2002.
Active Proxy-G: Optimizing the Query Execution Process.. - Andrade, Kurc, Sussman, .. (2002) Self-citation (Andrade Kurc Saltz) (Correct)
....may use many different parallel configurations depending on what is most efficient for an application. a) shared memory, b) distributed shared memory, or (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 clusters of distributed memory parallel machines. In this work, building on that framework, we develop a component based framework designed as a suite of services. ....
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 IEEE/ACM International Symposium on Cluster Computing and the Grid,Berlin,Ger- many, May 2002.
Servicing Mixed Data Intensive Query Workloads - Andrade, Kurc, Sussman.. (2002) Self-citation (Andrade Kurc Sussman Saltz) (Correct)
....submitted to the system are broadcasted to all nodes, and each node computes the parts of the results that correspond to the local input data and cached results. 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 partial data reuse opportunities. Query Server: The query server interacts with clients for receiving queries and returning query results, and is implemented as a ....
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
Grid Support for Collaborative Clinical and.. - Hastings, Gray.. (Correct)
No context found.
Andrade, H., Kurc, T., Sussman, A., and Saltz, J. Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs. 2002.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC