Eric T. Phipps

Scalable Algorithms

Author profile picture

Scalable Algorithms

etphipp@sandia.gov

(505) 284-9268

Sandia National Laboratories, New Mexico
P.O. Box 5800
Albuquerque, NM 87185-1318

Biography

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.  Finally, he leads the development of the GenTen software for tensor-based analysis on emerging extreme-scale architectures.

Education

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.

Publications

Hemanth Kolla, Eric Phipps, Michael Wolf, (2022). ExaLearn – GenTen Tensor Software ECP Milestone https://doi.org/10.2172/1876624 Publication ID: 80929

Eric Phipps, Nick Johnson, Tamara Kolda, (2021). Streaming Generalized Canonical Polyadic Tensor Decompositions https://doi.org/10.2172/1832304 Publication ID: 76390

Kyle Gilman, Eric Phipps, (2021). Majorize-Minimize Algorithms for Streaming Generalized Canonical Polyadic Tensor Decompositions https://www.osti.gov/servlets/purl/1888690 Publication ID: 75832

Cannada Lewis, Eric Phipps, (2021). Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition https://doi.org/10.2172/1890370 Publication ID: 75855

Kyle Gilman, Eric Phipps, Hemanth Kolla, (2021). Split Bregman optimizer for online generalized CP tensor decomposition https://www.osti.gov/servlets/purl/1881725 Publication ID: 79447

Cannada Lewis, Eric Phipps, Tamara Kolda, (2021). Distributed Generalized Canonical Polyadic Decomposition https://doi.org/10.2172/1870276 Publication ID: 78592

Eric Phipps, Nicholas Johnson, Tamara Kolda, (2021). Generalized Canonical Polyadic Tensor Decompositions for Streaming Data https://doi.org/10.2172/1847210 Publication ID: 77326

Cannada Lewis, Eric Phipps, (2021). Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021 https://doi.org/10.1109/HPEC49654.2021.9622844 Publication ID: 75421

Roger Pawlowski, Eric Phipps, Christian Trott, Eric Cyr, John Shadid, (2020). Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures https://doi.org/10.2172/1833498 Publication ID: 71970

Eric Phipps, (2020). Automatic Differentiation of C++ Codes with Sacado https://www.osti.gov/servlets/purl/1832685 Publication ID: 71880

Eric Phipps, Roger Pawlowski, Christian Trott, (2020). Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado https://www.osti.gov/servlets/purl/1812471 Publication ID: 74404

Nicholas Johnson, Tamara Kolda, Eric Phipps, (2020). Streaming Tensors https://www.osti.gov/servlets/purl/1770553 Publication ID: 72992

Eric Phipps, Tamara Kolda, (2020). Computing Generalized CP Decompositions on Emerging Parallel Architectures https://www.osti.gov/servlets/purl/1764768 Publication ID: 72227

Damodar Sahasrabudhe, Eric Phipps, Sivasankaran Rajamanickam, Martin Berzins, (2020). A Portable SIMD Primitive using Kokkos for Heterogeneous Architectures https://www.osti.gov/servlets/purl/1761036 Publication ID: 70673

Roger Pawlowski, Eric Phipps, (2020). Hierarchic Parallelism Memory Management and Helpful Debugging Tools: Updates on Trilinos Discretization Packages https://www.osti.gov/servlets/purl/1763879 Publication ID: 71012

Damodar Sahasrabudhe, Eric Phipps, Sivasankaran Rajamanickam, Martin Berzins, (2020). A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://www.osti.gov/servlets/purl/1643357 Publication ID: 66441

Marta D’Elia, Eric Phipps, A. Rushdi, Mohamed Ebeida, (2020). Surrogate-based ensemble grouping strategies for embedded sampling-based uncertainty quantification Lecture Notes in Computational Science and Engineering https://www.osti.gov/biblio/1429775 Publication ID: 56204

Eric Phipps, Tamara Kolda, (2019). High performance tensor decomposition on emerging manycore architectures https://www.osti.gov/servlets/purl/1641967 Publication ID: 64838

Nickolas Winovich, Ahmad Rushdi, Eric Phipps, Jaideep Ray, Guang Lin, Mohamed Ebeida, (2019). Rigorous Data Fusion for Computationally Expensive Simulations https://doi.org/10.2172/1560809 Publication ID: 64705

Eric Phipps, (2019). Embedded UQ on Emerging Computing Architectures https://www.osti.gov/servlets/purl/1640673 Publication ID: 69035

Karen Devine, Tamara Kolda, Eric Phipps, (2019). Parallel Sparse Tensor Decomposition with the Trilinos Parallel Linear Algebra Framework https://www.osti.gov/servlets/purl/1639389 Publication ID: 67454

Eric Phipps, Tamara Kolda, (2019). Software for sparse tensor decomposition on emerging computing architectures SIAM Journal on Scientific Computing https://doi.org/10.1137/18M1210691 Publication ID: 69450

Eric Phipps, Roger Pawlowski, Matthew Bettencourt, Eric Cyr, Nathan Roberts, (2019). Hierarchical Parallelism for Performant Embedded Automatic Differentiation on GPUs https://www.osti.gov/servlets/purl/1582125 Publication ID: 64165

Sarah Kieweg, Jaideep Ray, V. Weirs, Brian Carnes, Derek Dinzl, Brian Freno, Micah Howard, Eric Phipps, William Rider, Thomas Smith, (2019). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics https://www.osti.gov/servlets/purl/1592001 Publication ID: 64251

Sarah Kieweg, Jaideep Ray, V. Weirs, Brian Carnes, Derek Dinzl, Brian Freno, Micah Howard, Eric Phipps, William Rider, Thomas Smith, Ioannis Nompelis, Graham Candler, (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics https://doi.org/10.2514/6.2019-2278 Publication ID: 60450

Damodar Sahasrabudhe, Eric Phipps, Sivasankaran Rajamanickam, Martin Berzins, (2018). A Performance Portable SIMD Scalar Type for Effective Vectorization Across Heterogeneous Architectures https://www.osti.gov/servlets/purl/1594700 Publication ID: 60197

Sivasankaran Rajamanickam, Michael Wolf, Eric Phipps, Mohamed Ebeida, Bert Debusschere, (2018). ExaLearn Application Interview https://www.osti.gov/servlets/purl/1594702 Publication ID: 60200

Curtis Ober, Roger Pawlowski, Sidafa Conde, Irina Tezaur, Eric Phipps, Edward Phillips, Alejandro Mota, Greg Phlipot, Denis Ridzal, Michael Hansen, Travis Fisher, (2018). Tempus Time-Integration Package & Applications https://www.osti.gov/servlets/purl/1593047 Publication ID: 59833

Matthew Bettencourt, Richard Kramer, Keith Cartwright, Edward Phillips, Curtis Ober, Roger Pawlowski, Matthew Swan, Irina Tezaur, Eric Phipps, Sidafa Conde, Eric Cyr, Craig Ulmer, Todd Kordenbrock, Scott Levy, Gary Templet, Jonathan Hu, Paul Lin, Christian Glusa, Christopher Siefert, Micheal Glass, (2018). ASC ATDM Level 2 Milestone #6358: Assess Status of Next Generation Components and Physics Models in EMPIRE https://doi.org/10.2172/1493832 Publication ID: 58868

Roger Pawlowski, Edward Phillips, John Shadid, Paul Lin, Eric Cyr, Sidafa Conde, Matthew Bettencourt, Eric Phipps, Christian Trott, (2018). Developing a Hybrid Multi-fluid/PIC Plasma Capability Using Components https://www.osti.gov/servlets/purl/1592043 Publication ID: 64017

Roger Pawlowski, Edward Phillips, John Shadid, Eric Cyr, Sidafa Conde, Matthew Bettencourt, Eric Phipps, Stephen Bond, Christian Trott, (2018). Towards Towards a Hybrid Multi-fluid/PIC Plasma Capability https://www.osti.gov/servlets/purl/1576717 Publication ID: 63565

Mohamed Ebeida, Laura Swiler, Eric Phipps, Jaideep Ray, (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling https://www.osti.gov/servlets/purl/1524960 Publication ID: 62390

Eric Phipps, Tamara Kolda, (2018). Tensor Decompositions on Emerging Manycore Hardware with Genten and Kokkos https://www.osti.gov/servlets/purl/1495746 Publication ID: 60687

Roger Pawlowski, Matthew Bettencourt, Eric Cyr, Sean Miller, Edward Phillips, Eric Phipps, John Shadid, Christian Trott, (2018). Towards Performance Portable Assembly Tools for Multi-Fluid Plasma Simulation https://www.osti.gov/servlets/purl/1498443 Publication ID: 60900

Marta D’Elia, Eric Phipps, Harold Edwards, Jonathan Hu, Sivasankaran Rajamanickam, (2018). Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems SIAM/ASA Journal on Uncertainty Quantification https://doi.org/10.1137/16m1066324 Publication ID: 58096

Marta D’Elia, Harold Edwards, J. Hu, Eric Phipps, Sivasankaran Rajamanickam, (2018). Ensemble grouping strategies for embedded stochastic collocation methods applied to anisotropic diffusion problems SIAM-ASA Journal on Uncertainty Quantification https://www.osti.gov/servlets/purl/1365180 Publication ID: 49444

Eric Phipps, Daniel Turner, Kathryn Maupin, Jaideep Ray, Denis Ridzal, (2018). SNL ATDM Math Libraries ? Data Propagation Components https://www.osti.gov/servlets/purl/1806499 Publication ID: 58775

Eric Phipps, Kyungjoo Kim, Sivasankaran Rajamanickam, Michael Tupek, (2017). SIMD Scalar Types for Outer-loop Vectorization https://www.osti.gov/servlets/purl/1481481 Publication ID: 54007

Eric Phipps, Tamara Kolda, Clifford Anderson-Bergman, Karen Devine, Daniel Dunlavy, David Hong, Richard Vuduc, Jaijai Li, Jeff Young, Grey Ballard, (2017). Parallel Tensor Decompositions for Massive Heterogeneous Incomplete Data https://www.osti.gov/servlets/purl/1465080 Publication ID: 57989

Eric Phipps, Marta D’Elia, Mohamed Ebeida, Ahmad Rushdi, (2017). Improving Sampling-based Uncertainty Quantification Performance Through Embedded Ensemble Propagation https://www.osti.gov/servlets/purl/1460257 Publication ID: 57190

Francesco Rizzi, Eric Phipps, David Hollman, Jonathan Lifflander, Jeremiah Wilke, Aram Markosyan, Hemanth Kolla, Nicole Slattengren, Keita Teranishi, James Stewart, Robert Clay, Janine Bennett, (2017). Tackling UQ in DARMA a Programming Model for Task-Based Execution at Extreme-Scale https://www.osti.gov/servlets/purl/1507896 Publication ID: 57490

Eric Phipps, Andrew Salinger, (2017). Embedded uncertainty quantification methods via stokhos Handbook of Uncertainty Quantification https://www.osti.gov/biblio/1185023 Publication ID: 39940

Mohamed Ebeida, Eric Phipps, Marta D’Elia, Ahmad Rushdi, (2017). A Novel Voronoi Piecewise Approach to Solve Stochastic PDEs https://www.osti.gov/servlets/purl/1456448 Publication ID: 55705

Cosmin Safta, Eric Phipps, Habib Najm, (2017). Intrusive UQ Algorithms for Emerging Computing Platforms https://www.osti.gov/servlets/purl/1456382 Publication ID: 55561

Marta D’Elia, Mohamed Ebeida, Eric Phipps, Ahmad Rushdi, (2017). Ensemble Grouping strategies for embedded Stochastic Collocation https://www.osti.gov/servlets/purl/1458293 Publication ID: 54915

Eric Phipps, Harold Edwards, (2017). Computing Derivatives for UQ on Emerging Manycore Architectures https://www.osti.gov/servlets/purl/1505691 Publication ID: 55029

Eric Phipps, Harold Edwards, (2017). Automatic Differentiation on Emerging Manycore Architectures with Sacado and Kokkos https://www.osti.gov/servlets/purl/1418108 Publication ID: 52895

Eric Phipps, Byron Hanks, Francesco Rizzi, Denis Ridzal, Joshua Robbins, Miguel Aguilo Valentin, Kevin Copps, (2017). SNL ATDM Analysis Components https://www.osti.gov/servlets/purl/1505484 Publication ID: 53180

Eric Phipps, Marta D’Elia, Harold Edwards, M. Hoemmen, J. Hu, Sivasankaran Rajamanickam, (2017). Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures SIAM Journal on Scientific Computing https://doi.org/10.1137/15M1044679 Publication ID: 46563

Eric Phipps, (2016). Embedded Analysis For Next-Generation Applications and Architectures https://www.osti.gov/servlets/purl/1412077 Publication ID: 48067

Marta D’Elia, Eric Phipps, (2016). Ensemble Grouping strategies for embedded Stochastic Collocation methods applied to anisotropic diffusion problems https://www.osti.gov/servlets/purl/1397116 Publication ID: 52557

Eric Phipps, Harold Edwards, (2016). Operator Overloading-based Automatic Differentiation of C++ Codes on Emerging Manycore Architectures https://www.osti.gov/servlets/purl/1529764 Publication ID: 52079

Fredrick Rothganger, Mark Hoemmen, Eric Phipps, Christina Warrender, (2016). Dynamical System for Resilient Computing https://doi.org/10.2172/1562427 Publication ID: 52479

Eric Phipps, Marta D’Elia, Harold Edwards, Mark Hoemmen, Jonathan Hu, Sivasankaran Rajamanickam, (2016). Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures https://www.osti.gov/servlets/purl/1348104 Publication ID: 48988

William Spotz, Jeffrey Fike, Irina Tezaur, Andrew Salinger, Eric Phipps, (2016). Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples https://www.osti.gov/servlets/purl/1366603 Publication ID: 49130

Ahmad Rushdi, Laura Swiler, Scott Mitchell, John Jakeman, Eric Phipps, Mohamed Ebeida, (2016). VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016018697 Publication ID: 46599

Andrew Salinger, Andrew Bradley, Irina Demeshko, Glen Hansen, Mauro Perego, Eric Phipps, Irina Tezaur, Raymond Tuminaro, Brian Granzow, Dan Ibanez, Mark Shephard, (2015). Albany: Integrating Algorithmic Components to Build Advanced Applications https://www.osti.gov/servlets/purl/1333895 Publication ID: 41716

Eric Phipps, John Red-Horse, Timothy Wildey, Paul Constantine, Roger Ghanem, Maarten Arnst, (2015). Stochastic Dimension Reduction of Multiphysics Systems through Measure Transformation https://www.osti.gov/servlets/purl/1321810 Publication ID: 45366

Eric Phipps, (2015). Algorithms and Software for Intrusive UQ https://www.osti.gov/servlets/purl/1531073 Publication ID: 45240

William Spotz, William Spotz, Jeffrey Fike, Jeffrey Fike, Irina Tezaur, Irina Tezaur, Andrew Salinger, Andrew Salinger, Steven Bova, Steven Bova, James Overfelt, James Overfelt, Mark Taylor, Mark Taylor, Eric Phipps, Eric Phipps, (2015). Uncertainty Quantification For A Next-Generation Global Atmosphere Model https://www.osti.gov/servlets/purl/1260928 Publication ID: 44212

Eric Phipps, Marta D’Elia, Jonathan Hu, Sivasankaran Rajamanickam, (2015). Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer Architectures https://www.osti.gov/servlets/purl/1244446 Publication ID: 42592

Eric Phipps, Harold Edwards, (2015). Assembly Algorithms for PDEs with Uncertain Input Data on Emerging Multicore Architectures https://www.osti.gov/servlets/purl/1241280 Publication ID: 42387

Irina Demeshko, Harold Edwards, Michael Heroux, Andrew Salinger, Roger Pawlowski, Eric Phipps, (2015). Towards Exascale Implementation of the Finite Element Based Application Development Environment https://www.osti.gov/servlets/purl/1241488 Publication ID: 42403

Marta D’Elia, Eric Phipps, Harold Edwards, Jonathan Hu, Sivasankaran Rajamanickam, (2015). Embedded Sampling?Based Uncertainty Quantification Approaches for Emerging Computer Architectures https://www.osti.gov/servlets/purl/1246872 Publication ID: 42458

Irina Demeshko, Andrew Bradley, Eric Cyr, Harold Edwards, Michael Heroux, Eric Phipps, Andrew Salinger, (2015). A Kokkos Implementation of Albany: A Performance Portable Multiphysics Simulation Code https://www.osti.gov/servlets/purl/1331664 Publication ID: 42726

Paul Lin, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher Siefert, Stephen Kennon, (2014). Towards extreme-scale simulations for low mach fluids with second-generation trilinos Parallel Processing Letters https://doi.org/10.1142/S0129626414420055 Publication ID: 37671

Mauro Perego, Andrew Salinger, Eric Phipps, Denis Ridzal, Drew Kouri, Irina Tezaur, S. Price, G. Stadler, (2014). Adjoint-based Deterministic Inversion for Ice Sheets https://www.osti.gov/servlets/purl/1242148 Publication ID: 39370

Irina Demeshko, Harold Edwards, Michael Heroux, Eric Phipps, Andrew Salinger, Roger Pawlowski, (2014). Kokkos implementation of Albany: a performance-portable finite element application https://www.osti.gov/servlets/purl/1315262 Publication ID: 39085

Eric Phipps, Harold Edwards, Jonathan Hu, (2014). Improving Performance of Uncertainty Quantification Methods on Advanced Computing Architectures https://www.osti.gov/servlets/purl/1241732 Publication ID: 38843

Irina Demeshko, Harold Edwards, Michael Heroux, Roger Pawlowski, Eric Phipps, Andrew Salinger, Christian Trott, (2014). Towards Architecture Aware Performance Portable Finite Element Code https://www.osti.gov/servlets/purl/1319761 Publication ID: 39116

Cosmin Safta, Habib Najm, Eric Phipps, (2014). Numerical Continuation Methods for Intrusive Uncertainty Quantification Studies https://doi.org/10.2172/1323376 Publication ID: 38612

Eric Phipps, Harold Edwards, Jonathan Hu, (2014). Exploring Heterogeneous Multicore Architectures for Advanced Embedded Uncertainty Quantification https://doi.org/10.2172/1433072 Publication ID: 38631

Jonathan Hu, Eric Phipps, (2014). A Comparison of Algebraic Multigrid Preconditioning Approaches for Sampling-Based Uncertainty Propagation on Advanced Computing Architectures https://www.osti.gov/servlets/purl/1496090 Publication ID: 37689

Eric Phipps, Harold Edwards, Jonathan Hu, (2014). Uncertainty Quantification for Next-Generation Architectures https://www.osti.gov/servlets/purl/1497462 Publication ID: 37961

Irina Demeshko, Harold Edwards, Michael Heroux, Eric Phipps, Andrew Salinger, (2014). A performance-portable implementation of the Albany ice sheet model: Kokkos approach https://www.osti.gov/servlets/purl/1496705 Publication ID: 37534

Eric Phipps, Harold Edwards, Jonathan Hu, Clayton Webster, (2014). Realizing Exascale Performance for Uncertainty Quantification https://www.osti.gov/servlets/purl/1496922 Publication ID: 37571

Eric Phipps, Harold Edwards, (2014). Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation https://www.osti.gov/servlets/purl/1496672 Publication ID: 37572

Paul Lin, Christopher Siefert, Eric Cyr, Matthew Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, (2014). Towards Extreme-scale Simulations with Next-Generation Trilinos: a low Mach application case study https://doi.org/10.1109/IPDPSW.2014.166 Publication ID: 40873

Eric Phipps, Harold Edwards, (2014). Improving PDE Assembly Performance through Embedded Uncertainty Quantification https://www.osti.gov/servlets/purl/1142875 Publication ID: 40656

Eric Phipps, Harold Edwards, (2014). Improving PDE Assembly Performance through Embedded Uncertainty Quantification https://www.osti.gov/servlets/purl/1708998 Publication ID: 40657

Eric Phipps, (2014). Embedded UQ R&D In Albany https://www.osti.gov/servlets/purl/1682586 Publication ID: 36787

Paul Lin, Sivasankaran Rajamanickam, Christopher Siefert, Matthew Bettencourt, Eric Cyr, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan Hu, Eric Phipps, Andrey Prokopenko, (2013). Enabling extreme-scale simulations with next-generation Trilinos for Sierra low Mach fluid application code https://www.osti.gov/servlets/purl/1121283 Publication ID: 31744

Andrew Salinger, Jakob Ostien, Roger Pawlowski, Eric Phipps, WaiChing Sun, Xujiao Gao, Glen Hansen, Irina Tezaur, Alejandro Mota, Richard Muller, Erik Nielsen, (2013). Albany: A Component-Based Partial Differential Equation Code Built on Trilinos ACM Transaction on Mathematical Software https://www.osti.gov/biblio/1113351 Publication ID: 36008

Eric Phipps, Harold Edwards, Jonathan Hu, Jakob Ostien, (2013). Realizing Exascale Performance for Uncertainty Quantification https://www.osti.gov/servlets/purl/1107525 Publication ID: 35264

Eric Phipps, Harold Edwards, Jonathan Hu, Jakob Ostien, (2013). Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods https://www.osti.gov/servlets/purl/1115474 Publication ID: 33942

Eric Phipps, Jonathan Hu, Harold Edwards, (2013). Realizing Exascale Performance for Uncertainty Quantification https://www.osti.gov/servlets/purl/1079546 Publication ID: 33580

Eric Phipps, Harold Edwards, Jonathan Hu, Jakob Ostien, (2013). Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods Proposed for publication in International Journal of Computer Mathematics. https://www.osti.gov/biblio/1063466 Publication ID: 31497

Eric Phipps, Timothy Wildey, (2013). Efficient uncertainty propagation for network multiphysics systems Proposed for publication in International Journal for Numerical Methods in Engineering. https://www.osti.gov/biblio/1063360 Publication ID: 31415

Andrew Salinger, Eric Phipps, (2012). Numerical Bifurcation Methods and their Application to Fluid Dynamics: Analysis beyond Simulation Proposed for publication in Communications in Computational Physics. https://www.osti.gov/biblio/1062239 Publication ID: 30875

Eric Phipps, (2012). The Algorithm Research Experience in Albany https://www.osti.gov/biblio/1062252 Publication ID: 30626

Eric Phipps, Roger Pawlowski, (2012). Efficient expression templates for operator overloading-based automatic differentiation Lecture Notes in Computational Science and Engineering https://www.osti.gov/servlets/purl/1118331 Publication ID: 25781

Eric Phipps, Roger Pawlowski, Andrew Salinger, (2012). Supporting Embedded Algorithms through Template-based Generic Programming https://www.osti.gov/biblio/1060472 Publication ID: 29468

Eric Phipps, Roger Pawlowski, (2012). Efficient Expression Templates for Operator Overloading-based Automatic Differentiation https://www.osti.gov/biblio/1064185 Publication ID: 29190

Eric Phipps, (2012). Exploring Embedded UQ Approaches for Improved Scalability and Efficiency https://www.osti.gov/servlets/purl/1117311 Publication ID: 27946

Eric Phipps, John Red-Horse, (2012). Reduced chaos expansions with random coefficients in reduced-dimensional stochastic modeling of coupled problems Proposed for publication in International Journal for Numerical Methods in Engineering. https://www.osti.gov/biblio/1067741 Publication ID: 28254

Eric Phipps, (2012). Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods Proposed for publication in Numerical Linear Algebra with Applications. https://www.osti.gov/biblio/1067802 Publication ID: 28060

Eric Phipps, (2012). A posteriori error analysis and adaptive construction of surrogate models for probabilities https://www.osti.gov/servlets/purl/1294350 Publication ID: 27437

Eric Phipps, (2012). Enabling Embedded Algorithms R&D Through Template-based Generic Programming https://www.osti.gov/servlets/purl/1650556 Publication ID: 27864

Eric Phipps, Harold Edwards, Jonathan Hu, (2012). Preliminary Investigations of Multi-Core Accelerated Embedded Uncertainty Quantification https://www.osti.gov/biblio/1068443 Publication ID: 27299

Eric Phipps, Michael Eldred, (2012). Scalable Collocation Methods using a Combination of Krylov Basis Recycling and Adjoint Enhancement https://www.osti.gov/servlets/purl/1145285 Publication ID: 26731

Roger Pawlowski, Eric Phipps, Andrew Salinger, (2012). Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming Scientific Programming https://doi.org/10.1155/2012/202071 Publication ID: 28398

Eric Phipps, John Red-Horse, (2011). Uncertainty segregation and tensor-product-type approximation in reduced-dimensional stochastic analysis of coupled systems International Journal for Numerical Methods in Engineering https://www.osti.gov/biblio/1143849 Publication ID: 25611

Eric Phipps, Roger Pawlowski, Andrew Salinger, (2011). Embedded Algorithms through Template-based Generic Programming https://www.osti.gov/servlets/purl/1111712 Publication ID: 25265

Eric Phipps, Paul Constantine, (2011). A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Approximations https://www.osti.gov/servlets/purl/1106168 Publication ID: 24917

Eric Phipps, (2011). Embedded Stochastic Galerkin Projection and Solver Methods via Template-based Generic Programming https://www.osti.gov/biblio/1106253 Publication ID: 24919

Roger Pawlowski, Eric Phipps, Andrew Salinger, (2011). Building Hierarchical Toolchains for Nonlinear Analysis https://www.osti.gov/servlets/purl/1111722 Publication ID: 25192

Roger Pawlowski, Eric Phipps, Steven Owen, Christopher Siefert, Matthew Staten, (2011). Applying template-based generic programming to the simulation and analysis of partial differential equations Scientific Programming https://www.osti.gov/biblio/1106473 Publication ID: 24586

Habib Najm, Bert Debusschere, Michael Eldred, Eric Phipps, (2011). SciDAC Institute QUEST (Quantification of Uncertainty in Extreme Scale Computations) https://www.osti.gov/servlets/purl/1671447 Publication ID: 22509

Raymond Tuminaro, Eric Phipps, (2011). ASSESSMENT OF COLLOCATION AND GALERKIN APPROACHES TO PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM DATA International Journal of Uncertainty Quantification https://doi.org/10.1615/Int.J.UncertaintyQuantification.v1.i1.20 Publication ID: 21639

Andrew Salinger, Steven Owen, Roger Pawlowski, Eric Phipps, Christopher Siefert, Matthew Staten, (2011). Building a PDE with Componenets including shape optimization and embedded UQ https://www.osti.gov/servlets/purl/1109209 Publication ID: 21746

Eric Phipps, (2010). What is Piro https://www.osti.gov/biblio/1030277 Publication ID: 20622

Eric Phipps, Jakob Ostien, (2010). Albany : a trilinos-based PDE application https://www.osti.gov/biblio/1030266 Publication ID: 20623

Eric Phipps, (2010). Stokhos : Trilinos tools for embedded stochastic-Galerkin uncertainty quantification methods https://www.osti.gov/biblio/1030388 Publication ID: 20560

Eric Phipps, Roger Pawlowski, John Red-Horse, Rodney Schmidt, Michael Eldred, (2010). Mathematical and computational tools for predictive simulation of complex coupled systems under uncertainty https://www.osti.gov/biblio/1012752 Publication ID: 18202

Eric Phipps, (2010). Intrusive stochastic Galerkin methods for uncertainty quantification of nonlinear stochastic PDEs https://www.osti.gov/biblio/1013801 Publication ID: 18299

Eric Phipps, (2010). Analysis of intrusive Stochastic Galerkin methods for uncertainty quantification of stochastic PDEs https://www.osti.gov/biblio/991838 Publication ID: 17773

Eric Phipps, Roscoe Bartlett, (2009). Sacado: Automatic Differentiation Tools for C++ Codes https://www.osti.gov/servlets/purl/1141351 Publication ID: 17006

Eric Phipps, (2009). A Comparison of Intrusive Stochastic Galerkin Methods for Uncertainty Quantification of Stochastic PDEs https://www.osti.gov/servlets/purl/1142204 Publication ID: 16570

Eric Phipps, Andrew Salinger, Roger Pawlowski, (2009). LOCA and Other Trilinos Tools for Analysis of Large-Scale Dynamical Systems https://www.osti.gov/servlets/purl/1141912 Publication ID: 16167

Eric Phipps, (2008). Stokhos: Trilinos Tools for Embedded Stochastic-Galerkin Uncertainty Quantification Methods https://www.osti.gov/servlets/purl/1142497 Publication ID: 15175

Robert Hoekstra, Gary Hennigan, Roger Pawlowski, Eric Phipps, John Shadid, Lawrence Musson, Eric Keiter, (2008). High Fidelity Simulation for Semiconductor Electrical Devices in Extreme Environments https://www.osti.gov/servlets/purl/1142722 Publication ID: 15327

Eric Phipps, Michael Eldred, Andrew Salinger, (2008). LDRD Final Report: Capabilities for Uncertainty in Predictive Science https://doi.org/10.2172/1130397 Publication ID: 14975

Eric Phipps, (2008). Software needs, challenges and opportunities in polynomial chaos modeling for large-scale applications https://www.osti.gov/biblio/947839 Publication ID: 14582

Eric Phipps, (2008). A Recent Perspective on Predictive Computational Science: Educational Needs and Opportunities https://www.osti.gov/servlets/purl/1143024 Publication ID: 13944

Eric Phipps, (2008). Analytic Sensitivity and Uncertainty Computations in Large-Scale Applications via Automatic Differentiation https://www.osti.gov/servlets/purl/1712642 Publication ID: 13183

Roger Pawlowski, John Shadid, Eric Phipps, (2008). Fully-Implicit / Direct-to-steady-state Solution of FE Formulations for Resistive Magneto-Hydrodynamic Systems https://www.osti.gov/servlets/purl/1145694 Publication ID: 13187

Eric Phipps, (2008). Enabling Predictive Simulation Through Embedded Sensitivity Analysis and Uncertainty Quantification https://www.osti.gov/servlets/purl/1710337 Publication ID: 13311

Roger Pawlowski, John Shadid, Eric Phipps, Roscoe Bartlett, (2008). Analysis Tools for Large-scale Simulation with Application to Magnetohydrodynamics Physics https://www.osti.gov/servlets/purl/1145798 Publication ID: 12977

Eric Phipps, (2007). Bifurcation analysis software for large-scale and parallel applications with LOCA (with demonstration) https://www.osti.gov/servlets/purl/1147876 Publication ID: 10460

Roscoe Bartlett, Eric Phipps, (2007). Benefits of Simulation Codes from Automatic Differentiation of Templated C++ https://www.osti.gov/servlets/purl/1148248 Publication ID: 9767

Andrew Salinger, Eric Phipps, (2007). General-Purpose Algorithms for Large-Scale Time-Periodic Flow Problems https://www.osti.gov/servlets/purl/1148104 Publication ID: 10038

Eric Phipps, (2006). Automatic Differentation of C++ Codes With Sacado https://www.osti.gov/servlets/purl/1264033 Publication ID: 8359

Andrew Salinger, Daniel Dunlavy, Eric Phipps, (2006). Periodic Orbits with 4D https://www.osti.gov/servlets/purl/1264653 Publication ID: 8426

Robert Hoekstra, Eric Keiter, Eric Phipps, (2006). A Multi-Physics Coupling Technique that Preserves Nonlinear Globalization Strategies https://www.osti.gov/servlets/purl/1264586 Publication ID: 8447

Eric Phipps, Eric Phipps, (2006). Automatic Differentiation For enabling Predictive Simulations https://www.osti.gov/servlets/purl/1729778 Publication ID: 7210

Daniel Dunlavy, Eric Phipps, (2006). Parallel space-time solutions of PDE applications https://www.osti.gov/biblio/943870 Publication ID: 6869

Roscoe Bartlett, David Gay, Eric Phipps, (2006). Automatic differentiation of C++ codes for large-scale scientific computing Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://www.osti.gov/biblio/943906 Publication ID: 6776

Eric Phipps, Andrew Salinger, Roger Pawlowski, (2005). What’s New in NOX…Plus New Techniques for Solving Large-Scale Steady-State and Transient Stability Analysis Problems with LOCA https://www.osti.gov/servlets/purl/1728470 Publication ID: 6425

Eric Phipps, (2005). New Automatic Differentiation Tools Expedite Code Development and Enable New Design Algorithms https://www.osti.gov/servlets/purl/1727365 Publication ID: 6373

Eric Phipps, (2005). An Overview of Computational Science Research and Development at Sandia National Laboratories https://www.osti.gov/servlets/purl/1727358 Publication ID: 6335

Eric Phipps, Andrew Salinger, David Day, (2005). Bifurcation methods for large scale applications with examples from structural mechanics https://www.osti.gov/biblio/967824 Publication ID: 5937

Roger Pawlowski, Russell Hooper, Tamara Kolda, Eric Phipps, Brett Bader, Andrew Salinger, (2005). Solving nonlinear systems with NOX https://www.osti.gov/biblio/946962 Publication ID: 4642

Eric Phipps, (2004). Periodic orbits of hybrid systems and parameter estimation via AD https://www.osti.gov/biblio/957683 Publication ID: 3505

Michael Heroux, Tamara Kolda, Kevin Long, Robert Hoekstra, Roger Pawlowski, Eric Phipps, Andrew Salinger, Alan Williams, Michael Heroux, Jonathan Hu, Richard Lehoucq, Heidi Thornquist, Raymond Tuminaro, James Willenbring, Roscoe Bartlett, V. Howle, (2003). An overview of Trilinos https://doi.org/10.2172/918383 Publication ID: 2497

Showing Results. Show More Publications

Projects

Albany
Trilinos

Awards & Recognition

2014

Eric T. Phipps, Uncertainty Quantification Challenges in High-Performance Scientific Computing, SIAM Conference on Uncertainty Quantification, Mini-tutorial, April 3, 2014

2012

Shaun Forth, Paul Hovland, Argonne National Lab, Eric Phipps, Jean Utke, Argonne National Lab, Andrea Walther, Paderborn University, Editor for Recent Advances in Algorithmic Differentiation, 6th International Conference on Automatic Differentiation, July 1, 2012

2010

Eric T. Phipps, Mathematical and Computational Tools for Predictive Simulation of Complex Coupled Systems Under Uncertainty, Workshop on Uncertainty Quantification for Multiscale Systems, July 20, 2010