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Volumn , Issue , 2007, Pages 65-74

Application insight through performance modeling

Author keywords

[No Author keywords available]

Indexed keywords

INSTRUCTION-LEVEL PARALLELISM; MACHINE RESOURCES; PERFORMANCE METRICS; TARGET ARCHITECTURE;

EID: 36349010726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCCC.2007.358880     Document Type: Conference Paper
Times cited : (5)

References (15)
  • 6
    • 36349028613 scopus 로고    scopus 로고
    • SLOPE: A Compiler Approach to Performance Prediction and Performance Sensitivity Analysis for Scientific Codes
    • Nov
    • P. C. Diniz and J. Abramson. SLOPE: A Compiler Approach to Performance Prediction and Performance Sensitivity Analysis for Scientific Codes. Cyberinfrastructure Technology Watch: Special Issue on HPC Productivity, 2(4B), Nov. 2006.
    • (2006) Cyberinfrastructure Technology Watch: Special Issue on HPC Productivity , vol.2 , Issue.4 B
    • Diniz, P.C.1    Abramson, J.2
  • 10
    • 36349008701 scopus 로고    scopus 로고
    • Scalable CrossArchitecture Predictions of Memory Hierarchy Response for Scientific Applications
    • Santa Fe, NM, USA, Oct
    • G. Marin and J. Mellor-Crummey. Scalable CrossArchitecture Predictions of Memory Hierarchy Response for Scientific Applications. In Proceedings of the Los Alamos Computer Science Institute Sixth Annual Symposium, Santa Fe, NM, USA, Oct. 2005. http://lacsi.rice.edu/symposium/symposiumdownloads/lacsi_2005/ papers/pap108.pdf.
    • (2005) Proceedings of the Los Alamos Computer Science Institute Sixth Annual Symposium
    • Marin, G.1    Mellor-Crummey, J.2
  • 14
    • 36348961905 scopus 로고    scopus 로고
    • MonteSim: A Monte Carlo Performance Model for In-order Microachitectures
    • R. Srinivasan and O. Lubeck. MonteSim: A Monte Carlo Performance Model for In-order Microachitectures. SIGARCH Computer Architecture News, 33(5):75-80, 2005.
    • (2005) SIGARCH Computer Architecture News , vol.33 , Issue.5 , pp. 75-80
    • Srinivasan, R.1    Lubeck, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.