Center for Computing Research (CCR)

Center for Computing Research

Eric T. Phipps

Eric T. Phipps
Scalable Algorithms
Email: etphipp@sandia.gov
Phone: 505/284-9268
Fax: 505/845-7442

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1318
Albuquerque, NM
87185-1320

Eric joined Sandia National Laboratories in September 2002 and is currently a principal member of the technical staff in the Optimization and Uncertainty Quantification Department.  Eric's research focuses on developing new capabilities for predictive simulation and analysis in Sandia’s large-scale parallel application codes using techniques based on automatic differentiation and template-based generic programming.  His work has recently emphasized developing tools and techniques relevant to emerging extreme-scale computer architectures.  He is the lead developer for several related software packages in Trilinos including the Sacado automatic differentiation, Stokhos embedded uncertainty quantification, and LOCA continuation/bifurcation analysis packages.

Education/Background

Eric earned a B.S. in Applied Mathematics from the University of Colorado in 1997 and a M.S. in Applied Mathematics from Cornell University in 2000.  In 2000 Eric was awared a NSF IGERT graduate fellowship and received his Ph.D. in Applied Mathematics from Cornell University in 2003.  Advised by Dr. John Guckenheimer, his dissertation work focused on developing methods for computing periodic orbits in hybrid dynamical system models of rigid-body mechanical systems using automatic differentiation and high-order Taylor series integration.

Projects

Software

Selected Publications & Presentations

2018
2017
2016
2014
2012
2011
2010
2008
2006
2005
  • Heroux, Michael A., Roscoe A. Bartlett, Victoria E. Howle, Robert J. Hoekstra, Jonathan J. Hu, Tamara G. Kolda, Richard B. Lehoucq, Kevin R. Long, Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Heidi K. Thornquist, Ray S. Tuminaro, James M. Willenbring, Alan B. Williams, Kendall S. Stanley, "An overview of the Trilinos project," Journal Article, ACM Transactions on Mathematical Software, Vol. 31, No. 3, pp. 397–423, Accepted/Published September 2005.
2004

Awards & Recognition

2014
  • Phipps, Eric T., Invited Talk, Uncertainty Quantification Challenges in High-Performance Scientific Computing , SIAM Conference on Uncertainty Quantification, Mini-tutorial, April 3, 2014.
2012
  • Forth, Shaun, Paul Hovland, Eric Phipps, Jean Utke, Andrea Walther, Journal/Book Editor, Editor for Recent Advances in Algorithmic Differentiation, 6th International Conference on Automatic Differentiation, July 1, 2012.
2010
  • Phipps, Eric Todd, Invited Talk, Mathematical and Computational Tools for Predictive Simulation of Complex Coupled Systems Under Uncertainty, Workshop on Uncertainty Quantification for Multiscale Systems , July 20, 2010.