Scalable visual analytics of massive textual datasets

Proceedings - 21st International Parallel and Distributed Processing Symposium, IPDPS 2007; Abstracts and CD-ROM

Volumn , Issue , 2007, Pages

  Krishnan, M ^a   Bohn, S ^a   Cowley, W ^a   Crow, V ^a   Nieplocha, J ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; DATABASE SYSTEMS; INTERFACES (COMPUTER); PARALLEL PROCESSING SYSTEMS;

CLUSTER ARCHITECTURES; DATA SETS; PARALLEL IMPLEMENTATION; VISUAL ANALYTICS TOOLS;

TEXT PROCESSING;

EID: 34548808590     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2007.370232     Document Type: Conference Paper

References (25)

1. P. Lyman, HR Varian, How much information 2003?, available at www2.sims.berkeley.edu/research/projects/how-much-info-2003/.
2. J. Thomas, K.A. Cook (eds) , Illuminating the Path: The research and development agenda for visual analytics, IEEE CS Press, 2005.
3. P. Wong, J. Thomas, Visual Analytics, IEEE Graphics and Applications, pg 20-21., Sept/Oct - 2004.
4. Wise, J.A., Thomas, J.J., et. al. Visualizing the nonvisual: spatial analysis and interaction with information from text documents, in Proceedings of IEEE 95 Information Visualization, pages 51-58. IEEE Service Center, Atlanta, GA, October 1995.
5. O. Sornil, E.A. Fox, Parallel Inverted Index for Large-Scale, Dyanmic Digital Libraries, Ph.D Thesis, VPI(Virginia Polytechnic Institute), 2001.
6. Macfarlane, S.E. Robertson, and J.A. McCann. Parallel computing in information retrieval - an updated review. Journal of Documentation, 53(3):274-315, June 1997.
7. Pogue and P. Willett. Use of text signatures for document retrieval in a highly parallel environment. Parallel Computing, 4:259-268, June 1987.
8. P. Efraimidis, C. Glymidakis, B. Mamalis, P. Spirakis, B. Tampakas, Parallel Text Retrieval on a High Performance Supercomputer using the Vector Space Model, Proceedings of the 18th Annual International ACM SIGIR conference on Research and Development in Information Retrieval, pg 58-66, Seattle, WA, USA, 1995.
9. I.S. Dhillon, D.S. Modha, A Data-Clustering Algorithm On Distributed Memory Multiprocessors, Large-Scale Parallel Data Mining, Lecture Notes in Artificial Intelligence, pg 245-260, 2000.
10. S Ghemawat, H. Gobioff, ST Leung, The Google File System, ACM SOSP'03, October 2003.
11. NIH National Library of Medicine (NLM) Pubmed MEDLINE database. http://www.nlm.nih.gov/pubs/factsheets/medline.html.
12. NIH National Center for Biotechnology Information. http://www.ncbi.nlm. nih.gov/entrez/query/static/overview.html.
13. TREC terabyte data, www-nlpir.nist.gov/projects/terabyte/.
14. Fox, E. A. and Lee, W. C., FAST-INV: a Fast Algorithm for Building Large Inverted Files. Technical Report. UMI Order Number: TR-91-10., Virginia Polytechnic Institute & State University, 1991.
15. W.B. Frakes and R. Baeza-Yates, Information Retrieval: Data Structures and Algorithms. Prentice Hall, 1992.
16. S. Walter, Information Discovery Panel, NVAC Consortium meeting 10/4-5, Richland, WA, 2006.
17. J. Fekete, C. Plaisant, Interactive Information Visualization of a Million Items, INFOVIZ 2002, IEEE Symposium on Information Visualization, pg 117-124, Boston, 2002.
18. Johnson, B. and Shneiderman, B. Tree-maps: A space-filling approach to the visualization of hierarchical information structures, Proc. IEEE Visualization' 91 284-291, IEEE, Piscataway, NJ, 1991.
19. Kruskal, C.P., and Weiss, A., Allocating independent subtasks on parallel processors. IEEE Trans. Softw. Eng. 11, 10, 1001-1016, 1985.
20. Matthey, T., and Izaguirre, J.A., ProtoMol: A molecular dynamics framework with incremental parallelization. In Tenth SIAM Conf. on Parallel Processing for Scientific Computing (PP01), Society for Industrial and Applied Mathematics, 2001.
21. Tipparaju, V., Krishnan, M., Nieplocha, J., Santhanaraman, G., and Panda, D., Exploiting non-blocking remote memory access communication in scientific benchmarks. In High Performance Computing - HiPC, 248-258, 2003.
22. Bookstein, A., Klein, S. T., Raita, T, Detecting Content-Bearing Words by Serial Clustering, Proceedings of the 15th International ACM SIGIR Conference on Research and Development in Information Retrieval: 319-327, 1992.
23. Jarek Nieplocha, et. al, Advances, Applications and Performance of the Global Arrays Shared Memory Programming Toolkit, International Journal of High Performance Computing Applications, Vol. 20, No. 2, 203-231, 2006.
24. E.S. Patterson et al., Aiding the Intelligence Analyst in Situations of Data Overload: From Problem Definition to DesignConcept Exploration, tech. report ERGO-CSEL 01-TR-01, Inst. for Ergonomics/Cognitive Systems Engineering Lab., March 2001.
25. J. Nieplocha, V. Tipparaju, M. Krishnan, and D. Panda. High Performance Remote Memory Access Comunications: The ARMCI Approach. International Journal of High Performance Computing and Applications, Vol 20(2), 233-253, 2006.