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Volumn 22, Issue 3, 2006, Pages 369-380

Performance feature identification by comparative trace analysis

Author keywords

Dynamic trace analysis; High performance systems; Performance modeling; Performance visualization

Indexed keywords

DYNAMIC TRACE ANALYSIS; HIGH PERFORMANCE SYSTEMS; PERFORMANCE MODELING; PERFORMANCE VISUALIZATION;

EID: 28044449895     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2004.11.022     Document Type: Conference Paper
Times cited : (3)

References (17)
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    • The case of the missing supercomputer performance: Achieving optimal performance on the 8192 processors of ASCI Q
    • Phoenix, AZ
    • F. Petrini, D.J. Kerbyson, and S. Pakin The case of the missing supercomputer performance: achieving optimal performance on the 8192 processors of ASCI Q Proceedings of IEEE/ACM Supercomputing Phoenix, AZ 2003
    • (2003) Proceedings of IEEE/ACM Supercomputing
    • Petrini, F.1    Kerbyson, D.J.2    Pakin, S.3
  • 3
    • 84947225719 scopus 로고    scopus 로고
    • A comparison between the earth simulator and alphaserver systems using predictive application performance models
    • Nice, France
    • D.J. Kerbyson, A. Hoisie, and H. Wasserman A comparison between the earth simulator and alphaserver systems using predictive application performance models Proceeding of IPDPS Nice, France 2003
    • (2003) Proceeding of IPDPS
    • Kerbyson, D.J.1    Hoisie, A.2    Wasserman, H.3
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    • 8344269521 scopus 로고    scopus 로고
    • Cross-architecture performance predictions for scientific applications using parameterized models
    • New York, June
    • G. Marin, and J. Mellor-Crummey Cross-architecture performance predictions for scientific applications using parameterized models Proceeding of Sigmetrics New York, June 2004 2 14
    • (2004) Proceeding of Sigmetrics , pp. 2-14
    • Marin, G.1    Mellor-Crummey, J.2
  • 7
    • 0242505770 scopus 로고    scopus 로고
    • A framework for application performance modeling and prediction
    • Baltimore, MD
    • A. Snavely, L. Carrington, and A. Purkayastha A framework for application performance modeling and prediction Supercomputing 2002 Baltimore, MD 2002
    • (2002) Supercomputing 2002
    • Snavely, A.1    Carrington, L.2    Purkayastha, A.3
  • 9
    • 84861284277 scopus 로고    scopus 로고
    • Vampir Softwarem Pallas GmbH see: http://www.pallas.com/e/products/vampir/index.htm
  • 10
    • 0026944030 scopus 로고
    • Seesoft-a tool for visualizing line oriented software statistics
    • S.C. Eick, J.L. Steffen, and E.E. Sumner Jr. Seesoft-a tool for visualizing line oriented software statistics Special Issue on Software Measurement Principles, Techniques and Environments IEEE Trans. Software Eng. 18 11 1992
    • (1992) IEEE Trans. Software Eng. , vol.18 , Issue.11
    • Eick, S.C.1    Steffen, J.L.2    Sumner Jr., E.E.3
  • 11
    • 0034263076 scopus 로고    scopus 로고
    • PACE: A toolset for the performance prediction of parallel and distributed systems
    • G.R. Nudd, and D.J. Kerbyson PACE: a toolset for the performance prediction of parallel and distributed systems Int. J. High Perform. Comput. Appl. 14 3 2000 228 251
    • (2000) Int. J. High Perform. Comput. Appl. , vol.14 , Issue.3 , pp. 228-251
    • Nudd, G.R.1    Kerbyson, D.J.2
  • 14
    • 84861283516 scopus 로고    scopus 로고
    • POP software, see: http://climate.lanl.gov/
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    • Performance and scalability analysis of teraflop-scale parallel architectures using multidimensional wavefront applications
    • A. Hoisie, O. Lubeck, and H.J. Wasserman Performance and scalability analysis of teraflop-scale parallel architectures using multidimensional wavefront applications Int. J. High Perform. Comput. Appl. 14 4 2000 330 346
    • (2000) Int. J. High Perform. Comput. Appl. , vol.14 , Issue.4 , pp. 330-346
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.