Flexible performance visualization of parallel and distributed applications

Future Generation Computer Systems

Volumn 19, Issue 5 SPEC, 2003, Pages 735-747

  Chassin de Kergommeaux, J ^a,c   De Oliveira Stein, B ^b  

^a Lab Logiciels Syst Reseaux   (France)

^b FEDERAL UNIVERSITY OF SANTA MARIA   (Brazil)

^c INP Grenoble ENSIMAG   (France)

Author keywords

Behavioral visualization; Genericity; Interactivity; Paj ; Performance debugging; Scalability

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; DISTRIBUTED COMPUTER SYSTEMS; JAVA PROGRAMMING LANGUAGE; PARALLEL PROCESSING SYSTEMS;

FLEXIBLE PERFORMANCE VISUALIZATION;

PROGRAM DEBUGGING;

EID: 0037573229     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-739X(02)00181-4     Document Type: Article

References (14)

1. P. Augerat, C. Martin, B. de Oliveira Stein, Scalable monitoring tools for grids and clusters, in: Proceedings of the 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing, IEEE Computer Society Press, Silver Spring, MD, 2002, pp. 147-153.
2. J. Briat, I. Ginzburg, M. Pasin, B. Plateau, Athapascan runtime: efficiency for irregular problems, in: Proceedings of the EuroPar'97, Lecture Notes in Computer Science, vol. 1300, Springer, Berlin, August 1997, pp. 591-600.
3. Chassin de Kergommeaux J., de Oliveira Stein B., Bernard P. Pajé, an interactive visualization tool for tuning multi-threaded parallel applications. Parallel Comput. 26(10):2000;1253-1274.
4. J. Chassin de Kergommeaux, E. Maillet, J.-M. Vincent, Monitoring parallel programs for performance tuning in cluster environments, in: J. Cunha, et al. (Eds.), Parallel Program Development for Cluster Computing: Methodology, Tools and Integrated Environments, vol. 5, Nova Science, 2001, Chapter 6, pp. 131-150.
5. B. de Oliveira Stein, J. Chassin de Kergommeaux, G. Mounié, Pajé trace file format, Technical Report No. ID-IMAG, Grenoble, France, 2002. http://www-id.imag.fr/Logiciels/paje/publications.
6. L. DeRose, D. Reed, SvPablo: a multi-language architecture-independent performance analysis system, in: Proceedings of the International Conference on Parallel Processing (ICPP'99), Fukushima, Japan, September 1999, pp. 311-318.
7. S. Graham, P. Kessler, M. McKusik, gprof: a call graph execution profiler, in: Proceedings of the SIGPLAN'82 Symposium on Compiler Construction, ACM, New York, 1982, pp. 120-126.
8. Heath M.T., Etheridge J.A. Visualizing the performances of parallel programs. IEEE Trans. Softw. Eng. 8(5):1991;29-39.
9. Miller B. What to draw? When to draw? An essay on parallel program visualization. J. Parallel Distrib. Comput. 18:1993;265-269.
10. B. Miller, et al., The paradyn parallel performance measurement tool, Computer 28 (11) (November 1995) 37-46. More recent publications at: http://www.paradyn.org.
11. Nagel W.et al. VAMPIR: visualization and analysis of MPI resources. Supercomputer. 12(1):1996;69-80.
12. F.-G. Ottogalli, V. Olive, B. de Oliveira Stein, J. Chassin de Kergommeaux, J.-M. Vincent, Visualisation of distributed applications for performance debugging, in: V. Alexandrov, et al. (Eds.), ICCS'01, Lecture Notes in Computer Science, vol. 2074, Springer, Berlin, 2001, pp. 831-840.
13. D.A. Reed, R.A. Aydt, Madhyastha, et al., An overview of the Pablo performance analysis environment, Technical Report, Department of Computer Science, University of Illinois, Urbana, IL, 1992. This report and recent publications at: http://www-pablo.cs.uiuc.edu/Publications/Documents/documents.htm.
14. Shaffer E., Reed D., Whitmore S. Virtue: performance visualization of parallel and distributed applications. IEEE Comput. 32(12):1999;44-51.