Philippe Pébaÿ is a Doctor of Mathematics, a former School of Engineering Associate Professor in Lyon, former Visiting Research Scholar at Princeton University, and former Principal Member of Technical Staff at Sandia National Laboratories in California. He has 25-years experience in several areas of applied mathematics and computational science, in the United States as well as several European countries, as researcher, developer, project lead, and/or consultant.

https://orcid.org/0000-0002-2311-3775

P. Pébaÿ, T. B. Terriberry, H. Kolla, and J. Bennett. Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights. Computational Statistics, (31):4, pages 1305-1325 December 2016.

P. Pébaÿ, J. Bennett, D. Hollmann, S. Treichler, P. McCormick, C. Sweeney, H. Kolla and A. Aiken. Towards asynchronous many-task in situ data analysis using Legion. In Proc. 30th IEEE International Parallel & Distributed Processing Symposium, High Performance Data Analysis and Visualization Workshop. Chicago, IL, U.S.A., May 2016.

P. Pébaÿ and J. Bennett. An asynchronous many-task implementation of in-situ statistical analysis using Legion. Sandia Report SAND2015-10345, Sandia National Laboratories, November 2015.

P. Pébaÿ and J. Bennett. Formulas for fast computation of divergence statistics applied to quantitative performance analysis. Sandia Report SAND2015-9507, Sandia National Laboratories, October 2015.

P. Pébaÿ and J. Bennett. A divergence statistics extension to VTK for quantita- tive performance analysis. Sandia Report SAND2015-1152, Sandia National Laboratories, http://prod.sandia.gov/techlib/access-control.cgi/2015/151152.pdf, February 2015.

P. Pébaÿ, T. Terriberry, H. Kolla, and J. Bennett. Formulas for robust, parallel computation of arbitrary-order, arbitrary-variate, statistical moments with arbitrary weights and compounding. Sandia Report SAND2015-0891, Sandia National Laboratories, February 2015.

J. Levine, D. Thompson, J. Bennett, P.-T. Bremer, A. Gyulassy, V. Pascucci, and P. Pébaÿ. Analysis of uncertain scalar data with hixels. In Scientific Visualization, pages 35–44. Springer, 2014. ISBN 978-1-4471-6497-5. http://dx.doi.org/10.1007/978-1-4471-6497-5_3.

P. Pébaÿ, J. Wilke, and K. Sargsyan. A workflow for parameter calibration and model valida- tion in SST/Macro: Interim report. Sandia Report SAND2014-20421, Sandia National Laboratories, http://prod.sandia.gov/techlib/access-control.cgi/2014/1420421.pdf, December 2014.

J. Bennett, P. Pébaÿ, V.Pascucci, J. Levine, A. Gyulassy, and M. Rojas. Topology for statisti- cal modeling of petascale data. Sandia Report SAND2014-15561, Sandia National Laboratories, July 2014.

P. Pébaÿ and J. Bennett. Parallel auto-correlation statistics with VTK. Sandia Re- port SAND2013-3435, Sandia National Laboratories, http://prod.sandia.gov/techlib/access- control.cgi/2013/133435.pdf, April 2013.P. Pébaÿ and J. Bennett. The VTK parallel statistics module. The Kitware Source, (25): 15–19, April 2013.

P. Pébaÿ. A VTK selection algorithm based on digital topology. The Kitware Source, (24): 11–12, January 2013.
J. C. Bennett, H. Abbasi, P.-T. Bremer, R. W. Grout, A. Gyulassy, T. Jin, S. Klasky, H. Kolla, M. Parashar, V. Pascucci, P. P ́ebay, D. Thompson, H. Yu, F. Zhang, and J. Chen. Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. In Proc. Supercom- puting 2012 International Conference for High Performance Computing, Networking, Storage and Analysis. Salt Lake City, UT, U.S.A., November 2012.

P. Pébaÿ. Annotation capabilities with VTK 5.10. The Kitware Source, (22):7–10, July 2012.

T. Carrard, C. Law, and P. Pébaÿ. A generic hyper tree grid implementation for amr mesh manipulation and visualization in VTK. In Proc. 21^st International Meshing Roundtable. San Jose, CA, U.S.A., October 2012. http://www.imr.sandia.gov/.