G. Aguilera, P. Teller, M. Taufer, and F. Wolf, A systematic multi-step methodology for performance analysis of communication traces of distributed applications based on hierarchical clustering, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium, pp.8-1639645, 2006.
DOI : 10.1109/IPDPS.2006.1639645

R. Bolze, F. Cappello, E. Caron, M. Daydé, F. Desprez et al., Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed, International Journal of High Performance Computing Applications, vol.20, issue.4, pp.481-494, 2006.
DOI : 10.1177/1094342006070078

URL : https://hal.archives-ouvertes.fr/hal-00684943

H. Brunst, D. Hackenberg, G. Juckeland, and H. Rohling, Comprehensive Performance Tracking with Vampir 7
DOI : 10.1007/978-3-642-11261-4_2

. Nagel, Tools for High Performance Computing DOI http, pp.17-29978, 2009.

M. Heath and J. Etheridge, Visualizing the performance of parallel programs, IEEE Software, vol.8, issue.5, pp.29-39, 1991.
DOI : 10.1109/52.84214

R. Ihaka and R. Gentleman, R: A language for data analysis and graphics, Journal of computational and graphical statistics, pp.299-314, 1996.

B. Johnson and B. Shneiderman, Tree-maps: a space-filling approach to the visualization of hierarchical information structures, Proceeding Visualization '91, pp.284-291175815, 1991.
DOI : 10.1109/VISUAL.1991.175815

A. Joshi, A. Phansalkar, L. Eeckhout, and L. K. John, Measuring benchmark similarity using inherent program characteristics, IEEE Transactions on Computers, vol.55, issue.6, pp.769-782, 2006.
DOI : 10.1109/TC.2006.85

L. V. Kalé, G. Zheng, C. W. Lee, and S. Kumar, Scaling applications to massively parallel machines using Projections performance analysis tool, Future Generation Computer Systems, vol.22, issue.3, pp.347-358, 2006.
DOI : 10.1016/j.future.2004.11.020

J. C. De-kergommeaux, B. De-oliveira-stein, and P. E. Bernard, Paj??, an interactive visualization tool for tuning multi-threaded parallel applications, Parallel Computing, vol.26, issue.10, pp.1253-1274, 2000.
DOI : 10.1016/S0167-8191(00)00010-7

A. Knupfer and W. Nagel, Construction and Compression of Complete Call Graphs for Post-Mortem Program Trace Analysis, 2005 International Conference on Parallel Processing (ICPP'05), pp.165-172, 2005.
DOI : 10.1109/ICPP.2005.28

C. Lee, C. Mendes, and L. Kalé, Towards scalable performance analysis and visualization through data reduction, IEEE International Symposium on Parallel and Distributed Processing (IPDPS), pp.1-84536187, 2008.

O. Lubeck, M. Lang, R. Srinivasan, and G. Johnson, Implementation and performance modeling of deterministic particle transport (sweep3d) on the ibm cell/b.e. Scientific Programming, p.17, 2009.

K. Mohror, K. L. Karavanic, and O. Nickolayev, Evaluating similarity-based trace reduction techniques for scalable performance analysis DOI http Real-time statistical clustering for event trace reduction, Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09, pp.1-55, 1997.

V. Pillet, J. Labarta, T. Cortes, and S. Girona, Paraver: A tool to visualise and analyze parallel code, Proceedings of Transputer and occam Developments, WOTUG-18., Transputer and Occam Engineering, pp.17-31, 1995.

L. M. Schnorr, G. Huard, and P. O. Navaux, A hierarchical aggregation model to achieve visualization scalability in the analysis of parallel applications, Parallel Computing, vol.38, issue.3, pp.91-110, 2012.
DOI : 10.1016/j.parco.2011.12.001

URL : https://hal.archives-ouvertes.fr/hal-00796250

L. M. Schnorr, A. Legrand, and J. M. Vincent, Detection and analysis of resource usage anomalies in large distributed systems through multi-scale visualization, Concurrency and Computation: Practice and Experience, vol.7, issue.4, pp.1792-1816, 2012.
DOI : 10.1002/cpe.1885

URL : https://hal.archives-ouvertes.fr/hal-00788767

L. M. Schnorr, B. De-oliveira-stein, J. De-kergommeaux, and G. Mounié, Pajé trace file format, 2012.

S. Shende and A. Malony, The Tau Parallel Performance System, International Journal of High Performance Computing Applications, vol.20, issue.2, p.287, 2006.
DOI : 10.1177/1094342006064482

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Wickham, R. Inria, and . Centre-grenoble-?-rhône-alpes, ggplot2: elegant graphics for data analysis, Inovallée 655 avenue de l'Europe Montbonnot 38334 Saint Ismier Cedex Publisher Inria Domaine de Voluceau -Rocquencourt BP 105 -78153 Le Chesnay Cedex inria.fr ISSN, pp.249-6399, 2009.