An approach to creating performance visualizations in a parallel profile analysis tool

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7156 LNCS, Issue PART 2, 2012, Pages 156-165

  Spear, Wyatt ^a   Malony, Allen D ^a   Lee, Chee Wai ^a   Biersdorff, Scott ^a   Shende, Sameer ^a  

^a UNIVERSITY OF OREGON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TOPOLOGY;

LAYOUT DESIGNS; PARALLEL PERFORMANCE; PERFORMANCE DATA; PERFORMANCE PROPERTIES; PERFORMANCE VISUALIZATION; PROFILE ANALYSIS; PROFILING TOOLS; SYSTEM TOPOLOGY;

VISUALIZATION;

EID: 84882722930     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29740-3_19     Document Type: Conference Paper

References (20)

1. Global cloud resolving model (gcrm), https://svn. pnl. gov/gcrm
2. Paraview, http://www. paraview. org/
3. Visit, https://wci. llnl. gov/codes/visit/
4. Visualization toolkit (vtk), http://expression-tree. sourceforge. net/
5. Math expression string parser (mesp) (2004), http://expression-tree. sourceforge. net/
6. The ascii sweep3d code (October 2006), http://www. llnl. gov/ascibenchmarks/asci/ limited/Sweep3D/asciSweep3D. html
7. Bell, R., Malony, A. D., Shende, S. : A portable, extensible, and scalable tool for parallel performance profile analysis. In: Proc. EUROPAR 2003 Conference, pp. 17-26 (2003)
8. Bhatele, A., Kale, L. V., Chen, N., Johnson, R. E. : A Pattern Language for Topology Aware Mapping. In:Workshop on Parallel Programming Patterns, ParaPLOP 2009 (June 2009)
9. Chen, J., et al. : Terascale direct numerical simulations of turbulent combustion using S3D. Computational Science and Discovery 2(1), 15001 (2009)
10. Couch, A. : Categories and Context in Scalable Execution Visualization. Journal of Parallel and Distributed Computing 18(2), 195-204 (1993)
11. De Rose, L., Pantano, M., Aydt, R., Shaffer, E., Schaeffer, B., Whitmore, S., Reed, D. : An approach to immersive performance visualization of parallel and wide-area distributed applications. In: Proceedings of the Eighth International Symposium on High Performance Distributed Computing, 1999, pp. 247-254 (1999)
12. Hackstadt, S., Malony, A., Mohr, B. : Scalable Performance Visualization of Data-Parallel Programs. In: Scalable High-Performance Computing Conference, pp. 342-349 (May 1994)
13. Heath, M., Etheridge, J. : Visualizing the Performance of Parallel Programs. IEEE Software 8(5), 29-39 (1991)
14. Heath, M., Malony, A., Rover, D. : Parallel Performance Visualization: From Practice to Theory. IEEE Parallel and Distributed Technology: Systems and Technology 3(4), 44-60 (1995)
15. Heath, M., Malony, A., Rover, D. : The Visual Display of Parallel Performance Data. Computer 28(4), 21-28 (1995)
16. Jagode, H., Dongarra, J., Alam, S., Vetter, J., Spear, W., Malony, A. D. : A Holistic Approach for Performance Measurement and Analysis for Petascale Applications. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G. D., Dongarra, J., Sloot, P. M. A. (eds. ) ICCS 2009. LNCS, vol. 5545, pp. 686-695. Springer, Heidelberg (2009), http://dx. doi. org/10. 1007/978-3-642-01973-9-77
17. Shende, S., Malony, A. D. : The TAU Parallel Performance System. SAGE Publications (2006)
18. Sistare, S., Allen, D., Bowker, R., Jourdenais, K., Simons, J., Title, R. : A scalable debugger for massively parallel message-passing programs. IEEE Parallel and Distributed Technology: Systems and Applications Distributed Technology: Systems and Applications 2(2), 50-56 (1994)
19. Traff, J. : Implementing the mpi process topology mechanism. In: SC Conference, p. 28 (2002)
20. Yanovich, J., Budden, R., Simmel, D. : Xt3dmon 3d visual system monitor for psc's cray xt3 (2006), http://www. psc. edu/~yanovich/xt3dmon