Performance modeling of HPC applications

Advances in Parallel Computing

Volumn 13, Issue C, 2004, Pages 777-784

  Snavely, A ^a   Gao, X ^a   Lee, C ^a   Carrington, L ^a   Wolter, N ^a   Labarta, J ^b   Gimenez, J ^b   Jones, P ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b European Center for Parallelism of Barcelona   (Spain)

^c LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77957065769     PISSN: 09275452     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0927-5452(04)80095-9     Document Type: Article

References (9)

1. A. Snavely, L. Carrington, N. Wolter, J. Labarta, R. Badia A. Purkayastha, A Framework for Performance Modeling and Prediction, SC2002.
2. http://www.acl.lanl.gov/climate/models/pop/current_release/UsersGuide.pdf
3. 21 pp. Wallcraft A.J. The Navy Layered Ocean Model Users Guide. NOARL Report 35 (1991), Naval Research laboratory, Stennis Space Center, MS
4. http://www.cobaltcfd.com/
5. www.dyninst.org
6. Hollingsworth J.K. An API for Runtime Code Patching (1994), IJHPCA
7. June. Hennessy J.L., and Ofelt D. Efficient Performance Prediction For Modern Microprocessors. ACM SIGMETRICS Performance Evaluation Review Volume 28 Issue 1 (2000)
8. Carrington L., Snavely A., Wolter N., and Gao X. A Performance Prediction Framework for Scientific Applications. Workshop on Performance Modeling and Analysis - ICCS. Melbourne, June (2003)
9. Gao X., and Snavely A. Exploiting Stability to Reduce Time-Space Cost for Memory Tracing. Workshop on Performance Modeling and Analysis - ICCS. Melbourne, June (2003)