Scalable performance analysis of parallel systems: Concepts and experiences

Advances in Parallel Computing

Volumn 13, Issue C, 2004, Pages 737-744

  Brunst, H ^a,b   Nagel, W E ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF OREGON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 38049022805     PISSN: 09275452     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0927-5452(04)80090-X     Document Type: Article

References (8)

1. in LNCS. Brunst H., Nagel W.E., and Hoppe H.-C. Group-Based Peformance Analysis for Multithreaded SMP Cluster Applications. In: Sakellariou R., Keane J., Gurd J., and Freeman L. (Eds). Euro-Par 2001 Parallel Processing Vol. 2150 (2001), Springer 148-153
2. in LNCS. Brunst H., Winkler M., Nagel W.E., and Hoppe H.-C. Performance Optimization for Large Scale Computing: The Scalable VAMPIR Approach. In: Alexandrov V.N., Dongarra J.J., Juliano B.A., Renner R.S., and Kenneth Tan C.J. (Eds). Computational Science - ICCS 2001, Part II Vol. 2074 (2001), Springer 751-760
3. Chandra R. Parallel Programming in OpenMP (2001), Morgan Kaufmann
4. Malony A., and Shende S. Performance Technology for Complex Parallel and Distributed Systems. In: Kotsis G., and Kacsuk P. (Eds). Distributed and Parallel Systems From Instruction Parallelism to Cluster Computing. Proc. 3rd Workshop on Distributed and Parallel Systems, DAPSYS 2000 (2000), Kluwer 37-46
5. http://www.llnl.gov/asci_benchmarks/asci/limited/ppm/asci_sppm.html
6. Message Passing Interface Forum. MPI: A Message Passing Interface Standard. International Journal of Supercomputer Applications (Special Issue on MPI) 8 3/4 (1994)
7. Shende S., Malony A., Cuny J., Lindlan K., Beckman P., and Karmesin S. Portable Profiling and Tracing for Parallel Scientific Applications using C++. Proc. SIGMETRICS Symposium on Parallel and Distributed Tools, SPDT'98, ACM (1998) 134-145
8. Zaki O., Lusk E., Gropp W., and Swider D. Toward Scalable Performance Visualization with Jumpshot. The International Journal of High Performance Computing Applications 13 3 (1999) 277-288