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Volumn , Issue , 2002, Pages 45-57

Automatically characterizing large scale program behavior

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; COMPUTER SIMULATION; LARGE SCALE SYSTEMS; OPTIMIZATION; PROGRAM COMPILERS; SCHEDULING;

EID: 85085717875     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/605432.605403     Document Type: Conference Paper
Times cited : (90)

References (22)
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    • Burger, D.C.1    Austin, T.M.2
  • 6
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    • Learning the k in k-means
    • Technical Report CS2002-0716, University of California, San Diego
    • G. Hamerly and C. Elkan. Learning the k in k-means. Technical Report CS2002-0716, University of California, San Diego, 2002.
    • (2002)
    • Hamerly, G.1    Elkan, C.2
  • 8
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    • Memory reference reuse latency: Accelerating sampled microarchitecture simulations
    • Technical Report CS-2002-19, U of Virginia, July
    • J. Haskins and K. Skadron. Memory reference reuse latency: Accelerating sampled microarchitecture simulations. Technical Report CS-2002-19, U of Virginia, July 2002.
    • (2002)
    • Haskins, J.1    Skadron, K.2
  • 11
    • 27944462549 scopus 로고
    • A reference Bayesian test for nested hypotheses and its relationship to the schwarz criterion
    • R. E. Kass and L. Wasserman. A reference Bayesian test for nested hypotheses and its relationship to the schwarz criterion. Journal of the American Statistical Association, 90(431):928-934, 1995.
    • (1995) Journal of the American Statistical Association , vol.90 , Issue.431 , pp. 928-934
    • Kass, R.E.1    Wasserman, L.2
  • 13
    • 1842849819 scopus 로고    scopus 로고
    • Choosing representative slices of program execution for microarchitecture simulations: A preliminary application to the data stream
    • Kluwer Academic Publishers, September
    • T. Lafage and A. Seznec. Choosing representative slices of program execution for microarchitecture simulations: A preliminary application to the data stream. In Workload Characterization of Emerging Applications, Kluwer Academic Publishers, September 2000.
    • (2000) Workload Characterization of Emerging Applications
    • Lafage, T.1    Seznec, A.2
  • 14
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • In L. M. LeCam and J. Neyman, editors; Berkeley, CA; University of California Press
    • J. MacQueen. Some methods for classification and analysis of multivariate observations. In L. M. LeCam and J. Neyman, editors, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, volume 1, pages 281-297, Berkeley, CA, 1967. University of California Press.
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.1
  • 17
    • 0001820920 scopus 로고    scopus 로고
    • X-means: Extending K-means with efficient estimation of the number of clusters
    • Morgan Kaufmann, San Francisco, CA
    • D. Pelleg and A. Moore. X-means: Extending K-means with efficient estimation of the number of clusters. In Proceedings of the 17th International Conf. on Machine Learning, 727-734. Morgan Kaufmann, San Francisco, CA, 2000.
    • (2000) Proceedings of the 17th International Conf. on Machine Learning , pp. 727-734
    • Pelleg, D.1    Moore, A.2
  • 18
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    • Time varying behavior of programs
    • Technical Report UCSD-CS99-630, UC San Diego, August
    • T. Sherwood and B. Calder. Time varying behavior of programs. Technical Report UCSD-CS99-630, UC San Diego, August 1999.
    • (1999)
    • Sherwood, T.1    Calder, B.2
  • 20
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    • Phase tracking and prediction
    • Technical Report CS2002-0710, UC San Diego, June
    • T. Sherwood, S. Sair, and B. Calder. Phase tracking and prediction. Technical Report CS2002-0710, UC San Diego, June 2002.
    • (2002)
    • Sherwood, T.1    Sair, S.2    Calder, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.