Managing performance analysis with dynamic statistical projection pursuit

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Managing performance analysis with dynamic statistical projection pursuit

Full text

Pdf (357 KB)

Source

Conference on High Performance Networking and Computing archive
Proceedings of the 1999 ACM/IEEE conference on Supercomputing (CDROM) table of contents

Portland, Oregon, United States

Article No. 44

Year of Publication: 1999

ISBN:1-58113-091-0

Authors

Jeffrey S. Vetter	Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, California
Daniel A. Reed	Department of Computer Science, University of Illinois, Urbana, Illinois

Sponsors

IEEE-CS\TCCA : TC on Computer Arhitecture
SIGARCH: ACM Special Interest Group on Computer Architecture

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 1, Downloads (12 Months): 11, Citation Count: 8

Additional Information:

references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/331532.331576 What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	R. Aydt, "The Pablo Self-Defining Data Format," University of Illinois at Urbana- Champaign, Department of Computer Science, Urbana, IL, USA 1997.
	2	Thomas Ball , James R. Larus, Efficient path profiling, Proceedings of the 29th annual ACM/IEEE international symposium on Microarchitecture, p.46-57, December 02-04, 1996, Paris, France
	3	Peter C. Bates, Debugging heterogeneous distributed systems using event-based models of behavior, ACM Transactions on Computer Systems (TOCS), v.13 n.1, p.1-31, Feb. 1995 [doi>10.1145/200912.200913]
	4	C. Bona, J. Masso, E. Seidel, and P. Walker, "Three Dimensional Numerical Relativity with a Hyperbolic Formulation," Paper submitted to Phys. Rev. D, 1999.
	5	Peter N. Brown , Robert D. Falgout , Jim E. Jones, Semicoarsening Multigrid on Distributed Memory Machines, SIAM Journal on Scientific Computing, v.21 n.5, p.1823-1834, April 2000 [doi>10.1137/S1064827598339141]
	6	D. Cook, A. Buja, J. Cabrera, and C. Hurley, "Grand Tour and Projection Pursuit," J. Computational and Graphical Statistics, 4:155-172, 1995.
	7	Usama M. Fayyad , Gregory Piatetsky-Shapiro , Padhraic Smyth , Ramasamy Uthurusamy, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996
	8	J. H. Friedman, "Exploratory Projection Pursuit," J. American Statistical Association, 82:249-266, 1987.
	9	Catherine Hurley , Andreas Buja, Analyzing high-dimensional data with motion graphics, SIAM Journal on Scientific and Statistical Computing, v.11 n.6, p.1193-1211, November 1990 [doi>10.1137/0911068]
	10	R. A. Johnson , D. W. Wichern, Applied multivariate statistical analysis, Prentice-Hall, Inc., Upper Saddle River, NJ, 1988
	11	K. R. Koch, R. S. Baker, and R. E. Alcouffe, "Solution of the First-Order Form of the 3-D Discrete Ordinates Equation on a Massively Parallel Processor," Trans. Amer. Nuc. Soc., 65(198), 1992.
	12	Thomas T. Kwan , Robert E. McGrath , Daniel A. Reed, NCSA's World Wide Web Server: Design and Performance, Computer, v.28 n.11, p.68-74, November 1995 [doi>10.1109/2.471181]
	13	A. D. Malony , D. A. Reed , H. A. G. Wijshoff, Performance Measurement Intrusion and Perturbation Analysis, IEEE Transactions on Parallel and Distributed Systems, v.3 n.4, p.433-450, July 1992 [doi>10.1109/71.149962]
	14	Barton P. Miller , Mark D. Callaghan , Jonathan M. Cargille , Jeffrey K. Hollingsworth , R. Bruce Irvin , Karen L. Karavanic , Krishna Kunchithapadam , Tia Newhall, The Paradyn Parallel Performance Measurement Tool, Computer, v.28 n.11, p.37-46, November 1995 [doi>10.1109/2.471178]
	15	G. Nason, "Three-Dimensional Projection Pursuit," J. Royal Statistical Society, Series C, 44:411-430, 1995.
	16	D. A. Reed, O. Y. Nickolayev, and P. C. Roth, "Real-Time Statistical Clustering and for Event Trace Reduction," J. Supercomputing Applications and High-Performance Computing, 11(2):144-159, 1997.
	17	R. L. Ribler , J. S. Vetter , H. Simitci , D. A. Reed, Autopilot: Adaptive Control of Distributed Applications, Proceedings of the The Seventh IEEE International Symposium on High Performance Distributed Computing, p.172, July 28-31, 1998
	18	H. Spath, Cluster analysis algorithms. West Sussex, England: Ellis Horwood Limited, 1980.
	19	P. A. Tukey and J. W. Tukey, "Preparation; Prechosen Sequences of Views," in Interpreting multivariate data, vol. 1, V. Barnett, Ed. New York: John Wiley & Sons, 1981, pp. 189-213.
	20	E. J. Wegman and L. Qiang, "High dimensional clustering using parallel coordinates and the grand tour," Proc. 28th Symp. Interface of Computing Science and Statistics, 1996.

CITED BY 8

	Dong H. Ahn , Jeffrey S. Vetter, Scalable analysis techniques for microprocessor performance counter metrics, Proceedings of the 2002 ACM/IEEE conference on Supercomputing, p.1-16, November 16, 2002, Baltimore, Maryland
	Jeffrey S. Vetter , Michael O. McCracken, Statistical scalability analysis of communication operations in distributed applications, ACM SIGPLAN Notices, v.36 n.7, p.123-132, July 2001
	Celso L. Mendes , Daniel A. Reed, Monitoring Large Systems Via Statistical Sampling, International Journal of High Performance Computing Applications, v.18 n.2, p.267-277, May 2004
	Edu Metz , Raimondas Lencevicius , Teofilo F. Gonzalez, Performance data collection using a hybrid approach, ACM SIGSOFT Software Engineering Notes, v.30 n.5, September 2005
	E. Cesar , A. Moreno , J. Sorribes , E. Luque, Modeling master/worker applications for automatic performance tuning, Parallel Computing, v.32 n.7, p.568-589, September 2006
	Yongwei Wu , Likun Liu , Jiayin Mao , Guangwen Yang , Weimin Zheng, An analytical model for performance evaluation in a computational grid, Proceedings of the 2007 Asian technology information program's (ATIP's) 3rd workshop on High performance computing in China: solution approaches to impediments for high performance computing, November 11-11, 2007, Reno, Nevada
	Robert W. Wisniewski , Bryan Rosenburg, Efficient, Unified, and Scalable Performance Monitoring for Multiprocessor Operating Systems, Proceedings of the 2003 ACM/IEEE conference on Supercomputing, p.3, November 15-21, 2003
	Steven P. Reiss, Controlled dynamic performance analysis, Proceedings of the 7th international workshop on Software and performance, June 23-26, 2008, Princeton, NJ, USA