Asserting performance expectations

Proceedings of the International Conference on Supercomputing

Volumn 2002-November, Issue , 2002, Pages

  Vetter, Jeffrey S ^a   Worley, Patrick H ^b  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODE SEGMENTS; OPERATIONAL PROTOTYPE; PERFORMANCE; PERFORMANCE EXPECTATIONS; PERFORMANCE MODELING; PERFORMANCES ANALYSIS; RUN- TIME SYSTEMS; SOFTWARE-SYSTEMS; SOURCE CODES; TRADITIONAL TECHNIQUES;

EID: 38049154874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SC.2002.10046     Document Type: Conference Paper

References (17)

1. J.M. Anderson, L.M. Berc, J. Dean, S. Ghemawat, M.R. Henzinger, S.-T.A. Leung, R.L. Sites, M.T. Vandevoorde, C.A. Waldspurger, and W.E. Weihl, “Continuous profiling: where have all the cycles gone?,” ACM Trans. Computer Systems, 15(4):357-90, 1997.
2. S. Balay, W.D. Gropp, L. Curfman McInnes, and B.F. Smith, “Efficient Management of Parallelism in Object Oriented Numerical Software Libraries,” in Modern Software Tools in Scientific Computing, E. Arge, A.M. Bruaset et al., Eds.: Birkhauser Press, 1997, pp. 163-202.
3. C. Bischof, A. Carle, G. Corliss, A. Griewank, and P. Hovland, “ADIFOR - Generating Derivative Codes from Fortran Programs,” Scientific Programming, 1:1-29, 1992.
4. S. Browne, J. Dongarra, N. Garner, K. London, and P. Mucci, “A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters,” Proc. SC2000: High Performance Networking and Computing Conf. (electronic publication), 2000.
5. I.R. Corey, J.R. Johnson, and J.S. Vetter, “Micro Benchmarking, Performance Assertions and Sensitivity Analysis: A Technique for Developing Adaptive Grid Applications,” Proc. Eleventh IEEE International Symp. High Performance Distributed Computing, 2002.
6. M.E. Crovella and T.J. LeBlanc, “Performance debugging using parallel performance predicates,” SIGPLAN Notices (ACM/ONR Workshop on Parallel and Distributed Debugging), 28, no.12:140-50, 1993.
7. J.K. Hollingsworth and P. Keleher, “Prediction and Adaptation in Active Harmony,” Proc. HPDC, 1998, pp. 180-8.
8. B.W. Kernighan and D.M. Ritchie, The C programming language, 2nd ed. Englewood Cliffs, N.J.: Prentice Hall, 1988.
9. J.D. McCalpin, Stream Benchmarks, http://www.cs.virginia.edu/stream, 2002.
10. P.J. Mucci, K. London, and J. Thurman, “The CacheBench Report,” University of Tennessee, Knoxville, TN 1998.
11. S.E. Perl and W.E. Weihl, “Performance assertion checking,” Proc. 14th ACM Symp. Operating Systems Principles, 1993, pp. 134-45.
12. D. Quinlan, M. Schordan, B. Philip, and M. Kowarschik, “The Specification of Source-To-Source Transformations for the Compile-Time Optimization of Parallel Object-Oriented Scientific Applications,” Proc. 14th Workshop on Languages and Compilers for Parallel Computing (LCPC2001), 2001.
13. R.L. Ribler, J.S. Vetter, H. Simitci, and D.A. Reed, “Autopilot: adaptive control of distributed applications,” Proc. Seventh Int'l Symp. High Performance Distributed Computing (HPDC), 1998.
14. A. Snavely, L. Carrington, and N. Wolter, “Modeling Application Performance by Convolving Machine Signatures with Application Profiles,” Proc. IEEE Workshop on Workload Characterization, 2001.
15. R. Snodgrass, “A Relational Approach to Monitoring Complex Systems,” ACM Trans. Computer Systems, 6:157-96, 1988.
16. J.S. Vetter and K. Schwan, “Techniques for delayed binding of monitoring mechanisms to application-specific instrumentation points,” Proc. Int'l Conf. Parallel Processing (ICPP), 1998, pp. 477-84.
17. F. Vraalsen, R.A. Aydt, C.L. Mendes, and D.A. Reed, “Performance Contracts: Predicting and Monitoring Grid Application Behavior,” Proc. GRID 2001: Second International Workshop on Grid Computing, 2001, pp. 154-65.