Visual analysis of inter-process communication for large-scale parallel computing

IEEE Transactions on Visualization and Computer Graphics

Volumn 15, Issue 6, 2009, Pages 1129-1136

  Muelder, Chris ^a   Gygi, Francois ^a   Ma, Kwan Liu ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Information Visualization; MPI Profiling; Scalability

Indexed keywords

CODE EXECUTION; COMMUNICATION DELAYS; DIFFERENT PROCESS; GANTT CHART; INFORMATION VISUALIZATION; INTERPROCESS COMMUNICATION; LARGE-SCALE PARALLEL COMPUTING; MPI PROFILING; PARALLEL APPLICATION; PARALLEL COMPUTATION; PARALLEL PROCESS; PARALLEL SYSTEM; PROGRAM EXECUTION; SCREEN RESOLUTION; VISUAL ANALYSIS;

INFORMATION ANALYSIS; INFORMATION SYSTEMS; PARALLEL ARCHITECTURES; SCALABILITY; VISUALIZATION;

COMMUNICATION;

EID: 77957914829     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2009.196     Document Type: Conference Paper

References (32)

1. Bootchart, a visualization of system startup processes for optimizing boot times. http://www.bootchart.org/.
2. A. Chan, W. Gropp, and E. Lusk. An efficient format for nearly constant-time access to arbitrary time intervals in large trace files. Scientific Programming, 16(2-3):155-165, 2008.
3. B. Cornelissen, A. Zaidman, D. Holten, L. Moonen, A. van Deursen, and J. J. van Wijk. Execution trace analysis through massive sequence and circular bundle views. J. Syst. Softw., 81(12):2252-2268, 2008
4. EtherApe: A graphical network monitor. http://etherape. sourceforge.net
5. Franklin at NERSC: http://www.nersc.gov/nusers/systems/franklin/.
6. M. T. Heath. Paragraph: a tool for visualizing performance of parallel programs. In Second Workshop on Environments and Tools for Parallel Sci. Comput, pages 221-230, 1994.
7. V. Herrarte and E. Lusk. Studying parallel program behavior with upshot. Technical Report ANL-91/15, Argonne National Laboratory, 1991.
8. D. F. Jerding, J. T. Stasko, and T. Ball. Visualizing interactions in program executions. In ICSE '97: Proc. of the 19th Intl. Conf. on Software engineering, pages 360-370. ACM, 1997.
9. J. Johansson, P. Ljung, M. Jern, and M. Cooper. Revealing structure within clustered parallel coordinates displays. In InfoVis '05: Proc. of the 2005 IEEE Symposium on Information Visualization, pages 125-132. IEEE Computer Society, 2005. (Pubitemid 44500047)
10. E. Karrels and E. Lusk. Performance analysis of MPI programs. In J. Dongarra and B. Tourancheau, editors, Proc. of the Workshop on Environments and Tools For Parallel Scientific Computing, pages 195-200. SIAM Publications, 1994.
11. D. Kranzlmueller and J. Volkert. Debugging point-to-point communication in MPI and PVM. Lecture Notes in Computer Science, 1497:265-272, 1998.
12. D. Kranzlmüller, S. Grabner, and J. Volkert. Debugging massively parallel programs with atempt. In HPCN Europe 1996: Proc. of the Intl. Conf. and Exhibition on High-Performance Computing and Networking, pages
13. R. M. Martin, "Electronic Structure. Basic Theory and Practical Methods in Physics" (Cambridge University Press, 2004) Ch. 23.
14. S. Moreta and A. Telea. Multiscale visualization of dynamic software logs. In EuroVis, pages 11-18, 2007.
15. W. E. Nagel. http://www.vampir-ng.de/index.html
16. National Center for Supercomputing Applications (NCSA) at University of Illinois at Urbana-Champaign: http://www.ncsa.uiuc.edu/.
17. M. Ogawa and K.-L. Ma. Stargate: A unified, interactive visualization of software projects. In Proc. of IEEE PacificVis 2008, pages 191-198, March 2008
18. Accelerating Discovery in Science and Engineering through Petascale Simulations and Analysis (PetaApps), the National Science Foundation, http://www.nsf.gov/pubs/2007/nsf07559/nsf07559. htm.
19. J. E. Roberts, "TraceVis: An execution visualization tool," Master's thesis, Department of Computer Science, University of Illinois, Urbana, IL, July 2004.
20. R. Ross, T. Peterka, H.-W. Shen, Y. Hong, K.-L. Ma, H. Yu, and K. Moreland. Visualization and parallel i/o at extreme scale. Journal of Physics, July 2008. Proc. of DOE SciDAC 2008 Conf. Scientific Discovery through Advanced Computing (SciDAC): http: //www.scidac.gov/.
21. E. Shaffer, D. Reed, S. Whitmore, and B. Schaeffer. Virtue: performance visualization of parallel and distributed applications. IEEE Computer, 32(12):44-51, Dec 1999.
22. S. S. Shende and A. D. Malony. The tau parallel performance system. Int. J. High Perform. Comput. Appl., 20(2):287-311, 2006.
23. M.-A. D. Storey, D. Cubranić, and D. M. German. On the use of visualization to support awareness of human activities in software development: a survey and a framework. In SoftVis '05: Proc. of the 2005 ACM symposium on Software visualization, pages 193-202. ACM, 2005.
24. A. Telea and L. Voinea. An interactive reverse engineering environment for large-scale c++ code. In SoftVis '08: Proc. of the 4th ACM symposium on Software visualization, pages 67-76. ACM, 2008
25. Texas Advanced Computing Center (TACC) at University of Texas, Austin: http://www.tacc.utexas.edu/.
26. B. Topol, J. T. Stasko, and V. Sunderam. PVaniM: a tool for visualization in network computing environments. j-CPE, 10(14):1197-1222, Dec. 1998.
27. L. Voinea, A. Telea, and J. J. van Wijk. Ezel: a visual tool for performance assessment of peer-to-peer file-sharing network. In InfoVis '04: Proc. of the 2004 IEEE Symposium on Information Visualization, pages 41-48, 2004.
28. M. Wattenberg. Arc diagrams: Visualizing structure in strings. InfoVis '02: Proc. of the 2002 IEEE Symposium on Information Visualization, 0:110, 2002.
29. 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 ACM/IEEE Supercomputing (SC00), November 2000.
30. H. Yu and K.-L. Ma. A study of I/O techniques for parallel visualization. Journal of Parallel Computing, 31(2):167-183, Feb 2005.
31. H. Yu, K.-L. Ma, and J. Welling. A parallel visualization pipeline for terascale earthquake simulations. In Proc. of ACM/IEEE Supercomputing (SC04), Nov 2004.
32. D. Zeckzer, R. Kalcklösch, L. Schröder, H. Hagen, and T. Klein. Analyzing the reliability of communication between software entities using a 3d visualization of clustered graphs. In SoftVis '08: Proc. of the 4th ACM symposium on Software visualization, pages 37-46. ACM, 2008.