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Volumn 40, Issue 1 SPEC. ISS., 2012, Pages 283-294

ADP: Automated diagnosis of performance pathologies using hardware events

Author keywords

fingerprint; hardware event; machine learning; micro benchmark; performance analysis; resource bottleneck

Indexed keywords

ARCHITECTURAL KNOWLEDGE; AUTOMATED DIAGNOSIS; AUTOMATED SYSTEMS; BENCHMARK SUITES; DECISION-TREE ALGORITHM; FINGERPRINT; HARDWARE RESOURCES; HOT SPOT; MEMORY HIERARCHY; MICRO-BENCHMARK; MODERN ARCHITECTURES; PERFORMANCE ANALYSIS; PERFORMANCE BOTTLENECKS; PERFORMANCE CHARACTERIZATION; PERFORMANCE PROBLEMS; RANDOM FORESTS; RESOURCE BOTTLENECK;

EID: 84864665235     PISSN: 01635999     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2254756.2254791     Document Type: Conference Paper
Times cited : (20)

References (45)
  • 2
    • 32844456410 scopus 로고    scopus 로고
    • Online performance analysis by statistical sampling of microprocessor performance counters
    • ACM
    • R. Azimi, M. Stumm, and R. Wisniewski. Online performance analysis by statistical sampling of microprocessor performance counters. In Proc. of International Conference on Supercomputing, pages 101-110. ACM, 2005.
    • (2005) Proc. of International Conference on Supercomputing , pp. 101-110
    • Azimi, R.1    Stumm, M.2    Wisniewski, R.3
  • 3
  • 4
    • 66749161432 scopus 로고    scopus 로고
    • Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
    • IEEE Computer Society
    • R. Bitirgen, E. Ipek, and J. Martinez. Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach. In Proc. of IEEE/ACM International Symposium on Microarchitecture, pages 318-329. IEEE Computer Society, 2008.
    • (2008) Proc. of IEEE/ACM International Symposium on Microarchitecture , pp. 318-329
    • Bitirgen, R.1    Ipek, E.2    Martinez, J.3
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 10
    • 77955299196 scopus 로고    scopus 로고
    • Automatic phase detection and structure extraction of mpi applications
    • August
    • M. Casas, R. M. Badia, and J. Labarta. Automatic phase detection and structure extraction of mpi applications. Int. J. High Perform. Comput. Appl., 24:335-360, August 2010.
    • (2010) Int. J. High Perform. Comput. Appl. , vol.24 , pp. 335-360
    • Casas, M.1    Badia, R.M.2    Labarta, J.3
  • 11
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • American Association for Artificial Intelligence
    • P. Cheeseman and J. Stutz. Bayesian classification (AutoClass): Theory and results. In Advances in knowledge discovery and data mining. American Association for Artificial Intelligence, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Cheeseman, P.1    Stutz, J.2
  • 15
    • 77950606394 scopus 로고    scopus 로고
    • Automatic performance analysis with periscope
    • M. Gerndt and M. Ott. Automatic performance analysis with periscope. Concurr. Comput. : Pract. Exper., 22:736-748, 2010.
    • (2010) Concurr. Comput.: Pract. Exper. , vol.22 , pp. 736-748
    • Gerndt, M.1    Ott, M.2
  • 17
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • M. A. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In Proc. of International Conference on Machine Learning, pages 359-366, 2000.
    • (2000) Proc. of International Conference on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 20
    • 0001815269 scopus 로고
    • Constructing optimal binary decision trees is NP-complete
    • L. Hyafil and R. Rivest. Constructing optimal binary decision trees is NP-complete. Information Processing Letters, 5(1):15-17, 1976.
    • (1976) Information Processing Letters , vol.5 , Issue.1 , pp. 15-17
    • Hyafil, L.1    Rivest, R.2
  • 21
    • 79959840009 scopus 로고    scopus 로고
    • Web site
    • Intel. Vtune Amplifier XE. Web site: www.intel.com/software/products/ vtune, 2011.
    • (2011) Vtune Amplifier XE
  • 22
    • 34548776288 scopus 로고    scopus 로고
    • Perfsuite: An accessible, open source performance analysis environment for linux
    • R. Kufrin. Perfsuite: An accessible, open source performance analysis environment for linux. In The International Conference on Linux Clusters, volume 151, 2005.
    • (2005) The International Conference on Linux Clusters , vol.151
    • Kufrin, R.1
  • 29
    • 33751095034 scopus 로고
    • Paraver: A tool to visualize and analyze parallel code
    • V. Pillet, J. Labarta, T. Cortes, and S. Girona. Paraver: A tool to visualize and analyze parallel code. IN WOTUG-18, pages 17-31, 1995.
    • (1995) IN WOTUG-18 , pp. 17-31
    • Pillet, V.1    Labarta, J.2    Cortes, T.3    Girona, S.4
  • 30
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. Quinlan. Induction of decision trees. Machine learning, 1(1):81-106, 1986.
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.1
  • 32
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • J. R. Quinlan and R. L. Rivest. Inferring decision trees using the minimum description length principle. Inf. Comput., 80:227-248, 1989.
    • (1989) Inf. Comput. , vol.80 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.L.2
  • 40
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • V. Vapnik. An overview of statistical learning theory. Neural Networks, IEEE Transactions on, 10(5):988-999, 1999.
    • (1999) Neural Networks, IEEE Transactions on , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.1
  • 41
    • 0033691589 scopus 로고    scopus 로고
    • Performance analysis of distributed applications using automatic classification of communication inefficiencies
    • ACM
    • J. Vetter. Performance analysis of distributed applications using automatic classification of communication inefficiencies. In Proc. of International Conference on Supercomputing, pages 245-254. ACM, 2000.
    • (2000) Proc. of International Conference on Supercomputing , pp. 245-254
    • Vetter, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.