Large Event Traces in Parallel Performance Analysis

Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)

Volumn P-81, Issue , 2006, Pages 264-273

  Wolf, Felix ^a   Freitag, Felix ^b   Mohr, Bernd ^a   Moore, Shirley ^c   Wylie, Brian ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^c UNIVERSITY OF TENNESSEE   (United States)

Author keywords

event tracing; parallel computing; performance analysis; scalability

Indexed keywords

DATA VISUALIZATION; INFORMATION MANAGEMENT; LARGE SCALE SYSTEMS; TRACE ANALYSIS;

EVENT TRACING; LEVEL-OF-DETAIL; PARALLEL COM- PUTING; PARALLEL PERFORMANCE ANALYSIS; PARALLEL PROGRAM; PERFORMANCE; PERFORMANCE PROBLEMS; PERFORMANCES ANALYSIS; POST MORTEM; RUNTIMES;

SCALABILITY;

EID: 33750413711     PISSN: 16175468     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. G. Aguilera, P. J. Teller, M. Tauter, and F. Wolf. A Systematic Multi-step Methodology for Performance Analysis of Communication Traces of Distributed Applications based on Hierarchical Clustering. In Proc, ofthe 5th International Workshop on Performance Modeling, Evaluation, and Organization ofParallel and Distributed Systems (PMEOPDS), Rhodes, Greece, April 2006. Accepted for publication.
2. H. Brunst and W. E. Nagel. Scalable Performance Analysis of Parallel Systems: Concepts and Experiences. In Proc, ofthe Parallel Computing Conference (ParCo), Dresden, Germany, 2003.
3. N. Bhatia, F. Song, F. Wolf, B. Mohr, J. Dongarra, and S. Moore. Automatic Experimental Analysis of Communication Patterns in Virtual Topologies. In Proc, of the International Conference on Parallel Processing (ICPP), Oslo, Norway, June 2005. IEEE Society.
4. A. Chan, W. Gropp, and E. Lusk. Scalable Log Files for Parallel Program Trace Data (DRAFT). Technical report, Argonne National Laboratory, 2000.
5. J. Candy and R. Waltz. An Eulerian gyrokinetic Maxwell solver. J. Comput. Phys., 186:545-581, 2003.
6. F. Freitag, J. Caubet, and J. Labarta. On the Scalability of Tracing Mechanisms. In Proc, ofthe European Conference on Parallel Computing (Euro-Par), volume 2400 of Lecture Notes in Computer Science, Paderborn, Germany, August 2002. Springer.
7. A. Kniipfer and W. E. Nagel. Construction and Compression of Complete Call Graphs for Post-Mortem Program Trace Analysis. In Proc, ofthe International Conference on Parallel Processing (ICPP), pages 165-172, Oslo, Norway, June 2005. IEEE Society.
8. A. D. Malony and S Shende. Performance Technology for Complex Parallel and Distributed Systems. In P. Kacsuk and G. Kotsis, editors, Quality of Parallel and Distributed Programs and Systems, pages 25-JI. Nova Science Publishers, Inc., New York, 2003.
9. S. Moore, F. Wolf, J. Dongarra, S. Shende, A. Malony, and B. Mohr. A Scalable Approach to MPI Application Performance Analysis. In Proc, ofthe 12th European Parallel Virtual Machine and Message Passing Interface Conference (EUROPVMMPI), Sorrento, Italy, September 2005. Springer.
10. W. Nagel, M. Weber, H.-C. Hoppe, and K. Solchenbach. VAMPIR: Visualization and Analysis of MPI Resources. Supercomputer, 63, XII(l):69-80, 1996.
11. R. Rabenseifner. The Controlled Logical Clock - a Global Time for Trace Based Software Monitoring of Parallel Applications in Workstation Clusters. In Proc, of the 5th EUROMICRO Workshop on Parallel and Distributed Processing (PDP), pages 477-484, London, UK, January 1997.
12. C. E. Wu, A. Bolmarcich, M. Snir, D. Wootton, F. Parpia, A. Chan, E. Lusk, and W. Gropp. From Trace Generation to Visualization: A Performance Framework for Distributed Parallel Systems. In Proc, of the Supercomputing Conference (SC2000), Dallas, TX, November 2000.
13. F. Wolf and B. Mohr. Automatic performance analysis of hybrid MPI/OpenMP applications. Journal ofSystems Architecture, 49(10-1)):421-439, 2003. Special Issue “Evolutions in parallel distributed and network-based processing”.
14. B. Wylie, B. Mohr, and F. Wolf. Holistic hardware counter performance analysis of parallel programs. In Proc, ofParallel Computing 2005 (ParCo 2005), Malaga, Spain, September 2005.