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Volumn 2005, Issue , 2005, Pages

Cross-platform performance prediction of parallel applications using partial execution

Author keywords

[No Author keywords available]

Indexed keywords

CODE ANALYSIS; CROSS PLATFORM PERFORMANCE TRANSLATION; OBSERVATION BASED PERFORMANCE PREDICTION; PROGRAM MODELING;

EID: 33845442055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SC.2005.20     Document Type: Conference Paper
Times cited : (118)

References (37)
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    • August
    • D.H. Bailey and A. Snavely. Performance modeling: Understanding the present and predicting the future. In Euro-Par Conference, August 2005.
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    • Bailey, D.H.1    Snavely, A.2
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    • Improved automatic testcase synthesis for performance model validation
    • June
    • R Bell and L. John. Improved automatic testcase synthesis for performance model validation. In International Conference on Supercomputing, pages 111-120, June 2005.
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    • Bell, R.1    John, L.2
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    • A scalable cross-platform infrastructure for application performance tuning using hardware counters
    • S. Browne, J. Dongarra, N. Garner, K. London, and P. Mucci. A scalable cross-platform infrastructure for application performance tuning using hardware counters. In Proceedings of Supercomputing, 2000.
    • (2000) Proceedings of Supercomputing
    • Browne, S.1    Dongarra, J.2    Garner, N.3    London, K.4    Mucci, P.5
  • 8
    • 0031250903 scopus 로고    scopus 로고
    • Automated performance prediction for scalable parallel computing
    • M. Clement and M. Quinn. Automated performance prediction for scalable parallel computing. Parallel Computing, 23(10), 1997.
    • (1997) Parallel Computing , vol.23 , Issue.10
    • Clement, M.1    Quinn, M.2
  • 24
    • 4544311812 scopus 로고    scopus 로고
    • Cross-architecture performance predictions for scientific applications using parameterized models
    • G. Marin and J. Mellor-Crummey. Cross-architecture performance predictions for scientific applications using parameterized models. In SIGMETRICS, 2004.
    • (2004) SIGMETRICS
    • Marin, G.1    Mellor-Crummey, J.2
  • 25
    • 0035363047 scopus 로고    scopus 로고
    • Utilization, predictability, workloads, and user runtime estimates in scheduling the ibm sp2 with backfilling
    • A. Mu'alem and D. Feitelson. Utilization, predictability, workloads, and user runtime estimates in scheduling the ibm sp2 with backfilling. IEEE Transactions on Parallel and Distributed Systems, 12(6), 2001.
    • (2001) IEEE Transactions on Parallel and Distributed Systems , vol.12 , Issue.6
    • Mu'Alem, A.1    Feitelson, D.2
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    • 33845436538 scopus 로고    scopus 로고
    • Job superscheduler architecture and performance in computational grid environments
    • H. Shan, L. Oliker, and R. Biswas. Job superscheduler architecture and performance in computational grid environments. In Proceedings of Supercomputing '03, 2003.
    • (2003) Proceedings of Supercomputing '03
    • Shan, H.1    Oliker, L.2    Biswas, R.3
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    • 84860051436 scopus 로고    scopus 로고
    • Supercluster.org. SILVER design specification. http://www.supercluster. org/silver/specoverview.shtml.
    • SILVER Design Specification
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    • Prophesy: An infrastructure for performance analysis and modeling of parallel and grid applications
    • V. Taylor, X. Wu, and R. Stevens. Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. ACM SICMETRICS Performance Evaluation Review, 30(4), 2003.
    • (2003) ACM SICMETRICS Performance Evaluation Review , vol.30 , Issue.4
    • Taylor, V.1    Wu, X.2    Stevens, R.3
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    • Communication characteristics of large-scale scientific applications for contemporary cluster architectures
    • September
    • J. Vetter and F. Mueller. Communication characteristics of large-scale scientific applications for contemporary cluster architectures. Journal, of Parallel Distributed Computing, 63(9):853-865, September 2003.
    • (2003) Journal, of Parallel Distributed Computing , vol.63 , Issue.9 , pp. 853-865
    • Vetter, J.1    Mueller, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.