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 Scalable Algorithms 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

2019	Phipps, Eric T., Tamara G. Kolda, "Software for Sparse Tensor Decomposition on Emerging Computing Architectures," Journal Article, SIAM Journal on Scientific Computing, Vol. 41, No. 3, pp. C269–C290, Accepted/Published June 2019.
2018	D'Elia, Marta, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam, "Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems," Journal Article, SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, No. 1, pp. 87–117, Accepted/Published January 2018.
2017	Phipps, Eric T., Marta D'Elia, Harold C. Edwards, Mark Frederick Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam, "Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures," Journal Article, SIAM Journal on Scientific Computing, Vol. 39, No. 2, pp. 162–193, Accepted/Published April 2017. Rushdi, Ahmad A, Laura Painton Swiler, Eric T. Phipps, Marta D'Elia, Mohamed Salah Ebeida, "VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting," Journal Article, International Journal of Uncertainty Quantification, Vol. 7, No. 1, pp. 1–21, Accepted/Published January 2017.
2016	Phipps, Eric T., Andrew G. Salinger, "Embedded Uncertainty Quantification Methods via Stokhos," Journal Article, Handbook of Uncertainty Quantification, Accepted/Published April 2016.
2014	Sousedik, Bedrich, Roger G Ghanem, Eric T Phipps, "Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods," Journal Article, Numerical Linear Algebra with Applications, Vol. 21, No. 1, pp. 136–151, Accepted/Published January 2014. Arnst, Maarten, Roger Ghanem, Eric Phipps, John Red-Horse, "Reduced chaos expansions with random coefficients in reduced-dimensional stochastic modeling of coupled problems," Journal Article, International Journal for Numerical Methods in Engineering, Vol. 97, No. 5, pp. 352–376, Accepted/Published February 2014. Constantine, Paul G, Eric T Phipps, Tim M Wildey, "Efficient uncertainty propagation for network multiphysics systems," Journal Article, International Journal for Numerical Methods in Engineering, Vol. 99, No. 3, pp. 183–202, Accepted/Published July 2014. Lin, Paul, Matthew Tyler Bettencourt, Stefan P. Domino, Travis C. Fisher, Mark Frederick Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, Stephen Ray Kennon, "Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos," Journal Article, Parallel Processing Letters, Vol. 24, No. 04, Accepted/Published December 2014. Phipps, Eric, H. Carter Edwards, Jonathan Hu, Jakob T Ostien, "Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods," Journal Article, International Journal of Computer Mathematics, Vol. 91, No. 4, pp. 707–729, Accepted/Published January 2014.
2012	Arnst, Maarten, Roger Ghanem, Eric T. Phipps, John R. Red-Horse, "Dimension reduction in stochastic modeling of coupled problems," Journal Article, International Journal for Numerical Methods in Engineering, Vol. 92, No. 11, pp. 940–968, Accepted/Published December 2012. Arnst, Maarten, Roger Ghanem, Eric Phipps, John Red-Horse, "Measure transformation and efficient quadrature in reduced-dimensional stochastic modeling of coupled problems," Journal Article, International Journal for Numerical Methods in Engineering, Vol. 92, No. 12, pp. 1044–1080, Accepted/Published December 2012. Cliffe, Andrew K, Edward J.C. Hall, Paul Houston, Eric T Phipps, Andrew G Salinger, "Adaptivity and a Posteriori Error Control for Bifurcation Problems III: Incompressible Fluid Flow in Open Systems with O(2) Symmetry," Journal Article, Journal of Scientific Computing, Vol. 52, No. 1, pp. 153–179, Accepted/Published July 2012. Constantine, Paul, Eric Phipps, "A Lanczos Method For Approximating Composite Functions," Journal Article, Applied Mathematics and Computation, Vol. 218, No. 24, pp. 11751–11762, Accepted/Published August 2012. Constantine, Paul G, Michael S Eldred, Eric T Phipps, "Sparse Pseudospectral Approximation Method," Journal Article, Computer Methods in Applied Mechanics and Engineering, Vol. 229, No. 1, pp. 1–12, Accepted/Published July 2012. Pawlowski, Roger, Eric Phipps, Andy Salinger, "Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming," Journal Article, Journal of Scientific Programming, Vol. 20, No. 2, pp. 197–219, Accepted/Published August 2012. Pawlowski, Roger, Eric Phipps, Andy Salinger, Stephen Owen, Chris Siefert, Matthew Staten, "Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part II: Application to partial differential equations ," Journal Article, Journal of Scientific Programming, Vol. 20, No. 3, pp. 327–345, Accepted/Published August 2012. Phipps, Eric, Roger Pawlowski, "Efficient Expression Templates for Operator Overloading-based Automatic Differentiation," Conference Paper, 6th International Conference on Automatic Differentiation, July 2012.
2011	Cliffe, Andrew K, Edward J.C. Hall, Paul Houston, Eric T Phipps, Andrew G Salinger, "Adaptivity and a Posteriori Error Control for Bifurcation Problems II: Incompressible Fluid Flow in Open Systems with Z 2 Symmetry," Journal Article, Journal of Scientific Computing, Vol. 47, No. 3, pp. 389–418, Accepted/Published June 2011. Elman, Howard C., Chris W. Miller, Eric T. Phipps, Raymond S. Tuminaro, "ASSESSMENT OF COLLOCATION AND GALERKIN APPROACHES TO PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM DATA," Journal Article, International Journal of Uncertainty Quantification, Vol. 1, pp. 19–33, Accepted/Published January 2011.
2010	Cliffe, Andrew K, Edward J.C. Hall, Paul Houston, Eric T Phipps, Andrew G Salinger, "Adaptivity and A Posteriori error control for bifurcation problems I: The Bratu Problem," Journal Article, Communications in Computational Physics, Vol. 8, No. 4, pp. 845–865, Accepted/Published October 2010.
2008	Phipps, Eric T., Roscoe A. Bartlett, David M. Gay, Robert J. Hoekstra, "Large-Scale Transient Sensitivity Analysis of a Radiation-Damaged Bipolar Junction Transistor via AD," Conference Paper, The 5th International Conference on Automatic Differentiation, August 2008.
2006	Bartlett, Roscoe A., David M. Gay, Eric T. Phipps, "Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing," Conference Paper, Third International Workshop on Automatic Differentiation: Tools and Applications at ICCS 2006, February 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	Phipps, Eric T, Richard Casey, John Guckenheimer, "Periodic Orbits of Hybrid Systems and Parameter Estimation via AD," Conference Paper, Fourth International Conference on Automatic Differentiation, July 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.