Scaling and parallelizing a scientific feature mining application using a cluster middleware

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2004 (Abstracts and CD-ROM)

Volumn 18, Issue , 2004, Pages 1227-1236

  Glimcher, Leonid ^a   Zhang, Xuan ^a   Agrawal, Gagan ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER MIDDLEWARE; DISK-RESIDENT DATASETS; FEATURE MINING; STRUCTURAL MECHANICS;

ALGORITHMS; ASSOCIATIVE PROCESSING; COMPUTER SIMULATION; DATA REDUCTION; FEATURE EXTRACTION; MIDDLEWARE; PARALLEL PROCESSING SYSTEMS; PROBLEM SOLVING; SEARCH ENGINES;

DATA MINING;

EID: 12444270044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. P. Becuzzi, M. Coppola, and M. Vanneschi. Mining of association rules in very large databases: A structured parallel approach. In Proceedings of Europar-99, Lecture Notes in Computer Science (LNCS) Volume 1685, pages 1441-1450. Springer Verlag, August 1999.
2. J. Chen and D. Silver. Distributed Feature Extraction and Tracking. In Proceedings of SPIE Conference on Vizualization and Data Analysis, 2002.
3. Y. Chung and V. Prasanna. Parallelizing Image Feature Extraction on Coarse-Grain Machines. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), (12):1389-1394, December 1998.
4. John Darlington, Moustafa M. Ghanem, Yike Guo, and H. W. To. Performance models for co-ordinating parallel data classification. In Proceedings of the Seventh International Parallel Computing Workshop (PCW-97), Canberra, Australia, September 1997.
5. Sanjay Goil and Alok Choudhary. PARSIMONY: An infrastructure for parallel multidimensional analysis and data mining. Journal of Parallel and Distributed Computing, 61(3):285-321, March 2001.
6. Ruoming Jin and Gagan Agrawal. An efficient implementation of apriori association mining on cluster of smps. In Proceedings of the workshop on High Performance Data Mining, held with IPDPS 2001, April 2001.
7. Ruoming Jin and Gagan Agrawal. A middleware for developing parallel data mining implementations. In Proceedings of the first SIAM conference on Data Mining, April 2001.
8. Ruoming Jin and Gagan Agrawal. Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. In Proceedings of the second SIAM conference on Data Mining, April 2002.
9. Ruoming Jin and Gagan Agrawal. Shared Memory Parallelization of Decision Tree Construction Using a General Middleware. In Proceedings of Europar 2002, August 2002.
10. Ruoming Jin and Gagan Agrawal. Communication and Memory Efficient Parallel Decision Tree Construction. In Proceedings of Third SIAM Conference on Data Mining, May 2003.
11. Ruoming Jin and Gagan Agrawal. Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2003. to appear.
12. C. Kamath. On Mining Scientific Datasets. In et al R. L. Grossman, editor, Data Mining for Scientific and Engineering Applications, pages 1-21. Kluwer Academic Publishers, 2001.
13. R. Machiraju, J. Fowler, D. Thompson, B. Soni, and W. Schroeder. EVITA - Efficient Visualization and Interrogation of Terascale Datasets. In et al R. L. Grossman, editor, Data Mining for Scientific and Engineering Applications, pages 257-279. Kluwer Academic Publishers, 2001.
14. D.S. Thompson, R. Machiraju, M. Jiang, V. S. Dusi, J. Nair, and G. Craciun. Physics-Based Mining of Computational Fluid Dynamics Datasets. IEEE Computational Science & Engineering, 4(3), 2002.