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

  • Kolla, H., Phipps, E., Wolf, M., & Wolf, M. (2022). ExaLearn – GenTen Tensor Software ECP Milestone. https://doi.org/10.2172/1876624 Publication ID: 80929
  • Phipps, E., Johnson, N., Kolda, T., & Kolda, T. (2021). Streaming Generalized Canonical Polyadic Tensor Decompositions. https://doi.org/10.2172/1832304 Publication ID: 76390
  • Gilman, K., Phipps, E., & Phipps, E. (2021). Majorize-Minimize Algorithms for Streaming Generalized Canonical Polyadic Tensor Decompositions [Presentation]. https://www.osti.gov/biblio/1888690 Publication ID: 75832
  • Lewis, C., Phipps, E., & Phipps, E. (2021). Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition [Conference Presenation]. https://doi.org/10.2172/1890370 Publication ID: 75855
  • Gilman, K., Phipps, E., Kolla, H., & Kolla, H. (2021). Split Bregman optimizer for online generalized CP tensor decomposition [Presentation]. https://www.osti.gov/biblio/1881725 Publication ID: 79447
  • Lewis, C., Phipps, E., Kolda, T., & Kolda, T. (2021). Distributed Generalized Canonical Polyadic Decomposition [Conference Presenation]. https://doi.org/10.2172/1870276 Publication ID: 78592
  • Phipps, E., Johnson, N., Kolda, T., & Kolda, T. (2021). Generalized Canonical Polyadic Tensor Decompositions for Streaming Data [Conference Presenation]. https://doi.org/10.2172/1847210 Publication ID: 77326
  • Lewis, C., Phipps, E., & Phipps, E. (2021). Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition [Conference Paper]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9622844 Publication ID: 75421
  • Pawlowski, R., Phipps, E., Trott, C.R., Cyr, E., Shadid, J.N., & Shadid, J.N. (2020). Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures [Conference Presenation]. https://doi.org/10.2172/1833498 Publication ID: 71970
  • Phipps, E. (2020). Automatic Differentiation of C++ Codes with Sacado [Presentation]. https://www.osti.gov/biblio/1832685 Publication ID: 71880
  • Phipps, E., Pawlowski, R., Trott, C.R., & Trott, C.R. (2020). Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado [Conference Poster]. https://www.osti.gov/biblio/1812471 Publication ID: 74404
  • Johnson, N., Kolda, T., Phipps, E., & Phipps, E. (2020). Streaming Tensors [Presentation]. https://www.osti.gov/biblio/1770553 Publication ID: 72992
  • Phipps, E., Kolda, T., & Kolda, T. (2020). Computing Generalized CP Decompositions on Emerging Parallel Architectures [Conference Poster]. https://www.osti.gov/biblio/1764768 Publication ID: 72227
  • Sahasrabudhe, D., Phipps, E., Rajamanickam, S., Berzins, M., & Berzins, M. (2020). A Portable SIMD Primitive using Kokkos for Heterogeneous Architectures [Conference Poster]. https://www.osti.gov/biblio/1761036 Publication ID: 70673
  • Pawlowski, R., Phipps, E., & Phipps, E. (2020). Hierarchic Parallelism Memory Management and Helpful Debugging Tools: Updates on Trilinos Discretization Packages [Conference Poster]. https://www.osti.gov/biblio/1763879 Publication ID: 71012
  • Sahasrabudhe, D., Phipps, E., Rajamanickam, S., Berzins, M., & Berzins, M. (2020). A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures [Conference Poster]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087768778&origin=inward Publication ID: 66441
  • D’Elia, M., Phipps, E., Rushdi, A., Ebeida, M., & Ebeida, M. (2020). Surrogate-based ensemble grouping strategies for embedded sampling-based uncertainty quantification. Lecture Notes in Computational Science and Engineering, 137, pp. 41-66. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089612175&origin=inward Publication ID: 56204
  • Phipps, E., Kolda, T., & Kolda, T. (2019). High performance tensor decomposition on emerging manycore architectures [Conference Poster]. https://www.osti.gov/biblio/1641967 Publication ID: 64838
  • Winovich, N., Rushdi, A.A., Phipps, E., Ray, J., Lin, G., Ebeida, M., & Ebeida, M. (2019). Rigorous Data Fusion for Computationally Expensive Simulations. https://doi.org/10.2172/1560809 Publication ID: 64705
  • Phipps, E. (2019). Embedded UQ on Emerging Computing Architectures [Conference Poster]. https://www.osti.gov/biblio/1640673 Publication ID: 69035
  • Devine, K., Kolda, T., Phipps, E., & Phipps, E. (2019). Parallel Sparse Tensor Decomposition with the Trilinos Parallel Linear Algebra Framework [Conference Poster]. https://www.osti.gov/biblio/1639389 Publication ID: 67454
  • Phipps, E., Kolda, T., & Kolda, T. (2019). Software for sparse tensor decomposition on emerging computing architectures. SIAM Journal on Scientific Computing, 41(3), pp. C269-C290. https://doi.org/10.1137/18M1210691 Publication ID: 69450
  • Phipps, E., Pawlowski, R., Bettencourt, M.T., Cyr, E., Roberts, N.V., & Roberts, N.V. (2019). Hierarchical Parallelism for Performant Embedded Automatic Differentiation on GPUs [Conference Poster]. https://www.osti.gov/biblio/1582125 Publication ID: 64165
  • Kieweg, S., Ray, J., Weirs, V., Carnes, B., Dinzl, D., Freno, B., Howard, M., Phipps, E., Rider, W., Smith, T., & Smith, T. (2019). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics [Conference Poster]. https://www.osti.gov/biblio/1592001 Publication ID: 64251
  • Kieweg, S., Ray, J., Weirs, V.G., Carnes, B., Dinzl, D., Freno, B., Howard, M., Phipps, E., Rider, W., Smith, T., Nompelis, I., Candler, G., & Candler, G. (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics [Conference Poster]. https://doi.org/10.2514/6.2019-2278 Publication ID: 60450
  • Sahasrabudhe, D., Phipps, E., Rajamanickam, S., Berzins, M., & Berzins, M. (2018). A Performance Portable SIMD Scalar Type for Effective Vectorization Across Heterogeneous Architectures [Conference Poster]. https://www.osti.gov/biblio/1594700 Publication ID: 60197
  • Rajamanickam, S., Wolf, M., Phipps, E., Ebeida, M., Debusschere, B., & Debusschere, B. (2018). ExaLearn Application Interview [Presentation]. https://www.osti.gov/biblio/1594702 Publication ID: 60200
  • Ober, C., Pawlowski, R., Conde, S., Tezaur, I., Phipps, E., Phillips, E., Mota, A., Phlipot, G., Ridzal, D., Hansen, M., Fisher, T., & Fisher, T. (2018). Tempus Time-Integration Package & Applications [Conference Poster]. https://www.osti.gov/biblio/1593047 Publication ID: 59833
  • Bettencourt, M.T., Kramer, R., Cartwright, K., Phillips, E., Ober, C., Pawlowski, R., Swan, M., Tezaur, I., Phipps, E., Conde, S., Cyr, E., Ulmer, C., Kordenbrock, T., Levy, S., Templet, G., Hu, J., Lin, P., Glusa, C., Siefert, C., Glass, M., & Glass, M. (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
  • Pawlowski, R., Phillips, E., Shadid, J.N., Lin, P., Cyr, E., Conde, S., Bettencourt, M.T., Phipps, E., Trott, C.R., & Trott, C.R. (2018). Developing a Hybrid Multi-fluid/PIC Plasma Capability Using Components [Conference Poster]. https://www.osti.gov/biblio/1592043 Publication ID: 64017
  • Pawlowski, R., Phillips, E., Shadid, J.N., Cyr, E., Conde, S., Bettencourt, M.T., Phipps, E., Bond, S., Trott, C.R., & Trott, C.R. (2018). Towards Towards a Hybrid Multi-fluid/PIC Plasma Capability [Conference Poster]. https://www.osti.gov/biblio/1576717 Publication ID: 63565
  • Ebeida, M., Swiler, L., Phipps, E., Ray, J., & Ray, J. (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling [Conference Poster]. https://www.osti.gov/biblio/1524960 Publication ID: 62390
  • Phipps, E., Kolda, T., & Kolda, T. (2018). Tensor Decompositions on Emerging Manycore Hardware with Genten and Kokkos [Conference Poster]. https://www.osti.gov/biblio/1495746 Publication ID: 60687
  • Pawlowski, R., Bettencourt, M.T., Cyr, E., Miller, S., Phillips, E., Phipps, E., Shadid, J.N., Trott, C.R., & Trott, C.R. (2018). Towards Performance Portable Assembly Tools for Multi-Fluid Plasma Simulation [Conference Poster]. https://www.osti.gov/biblio/1498443 Publication ID: 60900
  • D’Elia, M., Phipps, E., Edwards, H., Hu, J., Rajamanickam, S., & Rajamanickam, S. (2018). Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. SIAM/ASA Journal on Uncertainty Quantification, 6(1), pp. 87-117. https://doi.org/10.1137/16m1066324 Publication ID: 58096
  • D’Elia, M., Edwards, H., Hu, J., Phipps, E., Rajamanickam, S., & Rajamanickam, S. (2018). Ensemble grouping strategies for embedded stochastic collocation methods applied to anisotropic diffusion problems [Conference Poster]. SIAM-ASA Journal on Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046026266&origin=inward Publication ID: 49444
  • Phipps, E., Turner, D., Maupin, K., Ray, J., Ridzal, D., & Ridzal, D. (2018). SNL ATDM Math Libraries ? Data Propagation Components [Presentation]. https://www.osti.gov/biblio/1806499 Publication ID: 58775
  • Phipps, E., Kim, K., Rajamanickam, S., Tupek, M.R., & Tupek, M.R. (2017). SIMD Scalar Types for Outer-loop Vectorization [Presentation]. https://www.osti.gov/biblio/1481481 Publication ID: 54007
  • Phipps, E., Kolda, T., Anderson-Bergman, C., Devine, K., Dunlavy, D., Hong, D., Vuduc, R., Li, J., Young, J., Ballard, G., & Ballard, G. (2017). Parallel Tensor Decompositions for Massive Heterogeneous Incomplete Data [Presentation]. https://www.osti.gov/biblio/1465080 Publication ID: 57989
  • Phipps, E., D’Elia, M., Ebeida, M., Rushdi, A., & Rushdi, A. (2017). Improving Sampling-based Uncertainty Quantification Performance Through Embedded Ensemble Propagation [Conference Poster]. https://www.osti.gov/biblio/1460257 Publication ID: 57190
  • Rizzi, F., Phipps, E., Hollman, D., Lifflander, J., Wilke, J., Markosyan, A., Kolla, H., Slattengren, N.L., Teranishi, K., Stewart, J., Clay, R., Bennett, J., & Bennett, J. (2017). Tackling UQ in DARMA a Programming Model for Task-Based Execution at Extreme-Scale [Conference Poster]. https://www.osti.gov/biblio/1507896 Publication ID: 57490
  • Phipps, E., Salinger, A.G., & Salinger, A.G. (2017). Embedded uncertainty quantification methods via stokhos. Handbook of Uncertainty Quantification. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85034789895&origin=inward Publication ID: 39940
  • Ebeida, M., Phipps, E., D’Elia, M., Rushdi, A., & Rushdi, A. (2017). A Novel Voronoi Piecewise Approach to Solve Stochastic PDEs [Conference Poster]. https://www.osti.gov/biblio/1456448 Publication ID: 55705
  • Safta, C., Phipps, E., Najm, H.N., & Najm, H.N. (2017). Intrusive UQ Algorithms for Emerging Computing Platforms [Conference Poster]. https://www.osti.gov/biblio/1456382 Publication ID: 55561
  • D’Elia, M., Ebeida, M., Phipps, E., Rushdi, A., & Rushdi, A. (2017). Ensemble Grouping strategies for embedded Stochastic Collocation [Conference Poster]. https://www.osti.gov/biblio/1458293 Publication ID: 54915
  • Phipps, E., Edwards, H., & Edwards, H. (2017). Computing Derivatives for UQ on Emerging Manycore Architectures [Conference Poster]. https://www.osti.gov/biblio/1505691 Publication ID: 55029
  • Phipps, E., Edwards, H., & Edwards, H. (2017). Automatic Differentiation on Emerging Manycore Architectures with Sacado and Kokkos [Presentation]. https://www.osti.gov/biblio/1418108 Publication ID: 52895
  • Phipps, E., Hanks, B., Rizzi, F., Ridzal, D., Robbins, J., Aguilo Valentin, M., Copps, K., & Copps, K. (2017). SNL ATDM Analysis Components [Presentation]. https://www.osti.gov/biblio/1505484 Publication ID: 53180
  • Phipps, E., D’Elia, M., Edwards, H., Hoemmen, M., Hu, J., Rajamanickam, S., & Rajamanickam, S. (2017). Embedded ensemble propagation for improving performance, portability, and scalability of uncertainty quantification on emerging computational architectures. SIAM Journal on Scientific Computing, 39(2), pp. C162-C193. https://doi.org/10.1137/15M1044679 Publication ID: 46563
  • Phipps, E. (2016). Embedded Analysis For Next-Generation Applications and Architectures [Conference Poster]. https://www.osti.gov/biblio/1412077 Publication ID: 48067
  • D’Elia, M., Phipps, E., & Phipps, E. (2016). Ensemble Grouping strategies for embedded Stochastic Collocation methods applied to anisotropic diffusion problems [Conference Poster]. https://www.osti.gov/biblio/1397116 Publication ID: 52557
  • Phipps, E., Edwards, H., & Edwards, H. (2016). Operator Overloading-based Automatic Differentiation of C++ Codes on Emerging Manycore Architectures [Conference Poster]. https://www.osti.gov/biblio/1529764 Publication ID: 52079
  • Rothganger, F., Hoemmen, M., Phipps, E., Warrender, C., & Warrender, C. (2016). Dynamical System for Resilient Computing. https://doi.org/10.2172/1562427 Publication ID: 52479
  • Phipps, E., D’Elia, M., Edwards, H., Hoemmen, M., Hu, J., Rajamanickam, S., & Rajamanickam, S. (2016). Embedded Ensemble Propagation for Improving Performance Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures [Conference Poster]. https://www.osti.gov/biblio/1348104 Publication ID: 48988
  • Spotz, W., Fike, J.A., Tezaur, I., Salinger, A., Phipps, E., & Phipps, E. (2016). Uncertainty Quantification for the Global Atmosphere Using Concurrent Samples [Conference Poster]. https://www.osti.gov/biblio/1366603 Publication ID: 49130
  • Rushdi, A., Swiler, L., Mitchell, S., Jakeman, J., Phipps, E., Ebeida, M., & Ebeida, M. (2016). VPS: Voronoi Piecewise Surrogate Models for High-Dimensional Data Fitting [Presentation]. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2016018697 Publication ID: 46599
  • Salinger, A., Bradley, A., Demeshko, I., Hansen, G., Perego, M., Phipps, E., Tezaur, I., Tuminaro, R., Granzow, B., Ibanez, D., Shephard, M., & Shephard, M. (2015). Albany: Integrating Algorithmic Components to Build Advanced Applications [Conference Poster]. https://www.osti.gov/biblio/1333895 Publication ID: 41716
  • Phipps, E., Red-Horse, J., Wildey, T., Constantine, P., Ghanem, R., Arnst, M., & Arnst, M. (2015). Stochastic Dimension Reduction of Multiphysics Systems through Measure Transformation [Conference Poster]. https://www.osti.gov/biblio/1321810 Publication ID: 45366
  • Phipps, E. (2015). Algorithms and Software for Intrusive UQ [Conference Poster]. https://www.osti.gov/biblio/1531073 Publication ID: 45240
  • Spotz, W., Spotz, W., Fike, J.A., Fike, J.A., Tezaur, I., Tezaur, I., Salinger, A., Salinger, A., Bova, S., Bova, S., Overfelt, J., Overfelt, J., Taylor, M., Taylor, M., Phipps, E., Phipps, E., & Phipps, E. (2015). Uncertainty Quantification For A Next-Generation Global Atmosphere Model [Conference Poster]. https://www.osti.gov/biblio/1260928 Publication ID: 44212
  • Phipps, E., D’Elia, M., Hu, J., Rajamanickam, S., & Rajamanickam, S. (2015). Exploring Embedded Uncertainty Quantification Methods on Next-Generation Computer Architectures [Conference Poster]. https://www.osti.gov/biblio/1244446 Publication ID: 42592
  • Phipps, E., Edwards, H., & Edwards, H. (2015). Assembly Algorithms for PDEs with Uncertain Input Data on Emerging Multicore Architectures [Conference Poster]. https://www.osti.gov/biblio/1241280 Publication ID: 42387
  • Demeshko, I., Edwards, H., Heroux, M., Salinger, A., Pawlowski, R., Phipps, E., & Phipps, E. (2015). Towards Exascale Implementation of the Finite Element Based Application Development Environment [Conference Poster]. https://www.osti.gov/biblio/1241488 Publication ID: 42403
  • D’Elia, M., Phipps, E., Edwards, H., Hu, J., Rajamanickam, S., & Rajamanickam, S. (2015). Embedded Sampling?Based Uncertainty Quantification Approaches for Emerging Computer Architectures [Conference Poster]. https://www.osti.gov/biblio/1246872 Publication ID: 42458
  • Demeshko, I., Bradley, A., Cyr, E., Edwards, H., Heroux, M., Phipps, E., Salinger, A., & Salinger, A. (2015). A Kokkos Implementation of Albany: A Performance Portable Multiphysics Simulation Code [Conference Poster]. https://www.osti.gov/biblio/1331664 Publication ID: 42726
  • Lin, P., Bettencourt, M.T., Domino, S., Fisher, T., Hoemmen, M., Hu, J., Phipps, E., Prokopenko, A., Rajamanickam, S., Siefert, C., Kennon, S., & Kennon, S. (2014). Towards extreme-scale simulations for low mach fluids with second-generation trilinos. Parallel Processing Letters, 24(4). https://doi.org/10.1142/S0129626414420055 Publication ID: 37671
  • Perego, M., Salinger, A., Phipps, E., Ridzal, D., Kouri, D.P., Tezaur, I., Price, S., Stadler, G., & Stadler, G. (2014). Adjoint-based Deterministic Inversion for Ice Sheets [Presentation]. https://www.osti.gov/biblio/1242148 Publication ID: 39370
  • Demeshko, I., Edwards, H., Heroux, M., Phipps, E., Salinger, A., Pawlowski, R., & Pawlowski, R. (2014). Kokkos implementation of Albany: a performance-portable finite element application [Conference Poster]. https://www.osti.gov/biblio/1315262 Publication ID: 39085
  • Phipps, E., Edwards, H., Hu, J., & Hu, J. (2014). Improving Performance of Uncertainty Quantification Methods on Advanced Computing Architectures [Presentation]. https://www.osti.gov/biblio/1241732 Publication ID: 38843
  • Demeshko, I., Edwards, H., Heroux, M., Pawlowski, R., Phipps, E., Salinger, A., Trott, C.R., & Trott, C.R. (2014). Towards Architecture Aware Performance Portable Finite Element Code [Conference Poster]. https://www.osti.gov/biblio/1319761 Publication ID: 39116
  • Safta, C., Najm, H.N., Phipps, E., & Phipps, E. (2014). Numerical Continuation Methods for Intrusive Uncertainty Quantification Studies. https://doi.org/10.2172/1323376 Publication ID: 38612
  • Phipps, E., Edwards, H., Hu, J., & Hu, J. (2014). Exploring Heterogeneous Multicore Architectures for Advanced Embedded Uncertainty Quantification. https://doi.org/10.2172/1433072 Publication ID: 38631
  • Hu, J., Phipps, E., & Phipps, E. (2014). A Comparison of Algebraic Multigrid Preconditioning Approaches for Sampling-Based Uncertainty Propagation on Advanced Computing Architectures [Presentation]. https://www.osti.gov/biblio/1496090 Publication ID: 37689
  • Phipps, E., Edwards, H., Hu, J., & Hu, J. (2014). Uncertainty Quantification for Next-Generation Architectures [Presentation]. https://www.osti.gov/biblio/1497462 Publication ID: 37961
  • Demeshko, I., Edwards, H., Heroux, M., Phipps, E., Salinger, A., & Salinger, A. (2014). A performance-portable implementation of the Albany ice sheet model: Kokkos approach [Presentation]. https://www.osti.gov/biblio/1496705 Publication ID: 37534
  • Phipps, E., Edwards, H., Hu, J., Webster, C., & Webster, C. (2014). Realizing Exascale Performance for Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1496922 Publication ID: 37571
  • Phipps, E., Edwards, H., & Edwards, H. (2014). Improving Performance of Sampling-Based Uncertainty Quantification on Advanced Computing Architectures Through Embedded Ensemble Propagation [Presentation]. https://www.osti.gov/biblio/1496672 Publication ID: 37572
  • Lin, P., Siefert, C., Cyr, E., Bettencourt, M.T., Domino, S., Fisher, T., Hoemmen, M., Hu, J., Phipps, E., Prokopenko, A., Rajamanickam, S., & Rajamanickam, S. (2014). Towards Extreme-scale Simulations with Next-Generation Trilinos: a low Mach application case study [Conference]. https://doi.org/10.1109/IPDPSW.2014.166 Publication ID: 40873
  • Phipps, E., Edwards, H., & Edwards, H. (2014). Improving PDE Assembly Performance through Embedded Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1142875 Publication ID: 40656
  • Phipps, E., Edwards, H., & Edwards, H. (2014). Improving PDE Assembly Performance through Embedded Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1708998 Publication ID: 40657
  • Phipps, E. (2014). Embedded UQ R&D In Albany [Presentation]. https://www.osti.gov/biblio/1682586 Publication ID: 36787
  • Lin, P., Rajamanickam, S., Siefert, C., Bettencourt, M.T., Cyr, E., Domino, S., Fisher, T., Hoemmen, M., Hu, J., Phipps, E., Prokopenko, A., & Prokopenko, A. (2013). Enabling extreme-scale simulations with next-generation Trilinos for Sierra low Mach fluid application code [Conference]. https://www.osti.gov/biblio/1121283 Publication ID: 31744
  • Salinger, A., Ostien, J.T., Pawlowski, R., Phipps, E., Sun, W., Gao, X., Hansen, G., Tezaur, I., Mota, A., Muller, R., Nielsen, E., & Nielsen, E. (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
  • Phipps, E., Edwards, H., Hu, J., Ostien, J.T., & Ostien, J.T. (2013). Realizing Exascale Performance for Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1107525 Publication ID: 35264
  • Phipps, E., Edwards, H., Hu, J., Ostien, J.T., & Ostien, J.T. (2013). Exploring Emerging Manycore Architectures for Uncertainty Quantification Through Embedded Stochastic Galerkin Methods [Conference]. https://www.osti.gov/biblio/1115474 Publication ID: 33942
  • Phipps, E., Hu, J., Edwards, H., & Edwards, H. (2013). Realizing Exascale Performance for Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1079546 Publication ID: 33580
  • Phipps, E., Edwards, H., Hu, J., Ostien, J.T., & Ostien, J.T. (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
  • Phipps, E., Wildey, T., & Wildey, T. (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
  • Salinger, A., Phipps, E., & Phipps, E. (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
  • Phipps, E. (2012). The Algorithm Research Experience in Albany [Conference]. https://www.osti.gov/biblio/1062252 Publication ID: 30626
  • Phipps, E., Pawlowski, R., & Pawlowski, R. (2012). Efficient expression templates for operator overloading-based automatic differentiation [Conference]. Lecture Notes in Computational Science and Engineering. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84865567892&origin=inward Publication ID: 25781
  • Phipps, E., Pawlowski, R., Salinger, A., & Salinger, A. (2012). Supporting Embedded Algorithms through Template-based Generic Programming [Conference]. https://www.osti.gov/biblio/1060472 Publication ID: 29468
  • Phipps, E., Pawlowski, R., & Pawlowski, R. (2012). Efficient Expression Templates for Operator Overloading-based Automatic Differentiation [Conference]. https://www.osti.gov/biblio/1064185 Publication ID: 29190
  • Phipps, E. (2012). Exploring Embedded UQ Approaches for Improved Scalability and Efficiency [Conference]. https://www.osti.gov/biblio/1117311 Publication ID: 27946
  • Phipps, E., Red-Horse, J., & Red-Horse, J. (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
  • Phipps, E. (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
  • Phipps, E. (2012). A posteriori error analysis and adaptive construction of surrogate models for probabilities [Conference]. https://www.osti.gov/biblio/1294350 Publication ID: 27437
  • Phipps, E. (2012). Enabling Embedded Algorithms R&D Through Template-based Generic Programming [Presentation]. https://www.osti.gov/biblio/1650556 Publication ID: 27864
  • Phipps, E., Edwards, H., Hu, J., & Hu, J. (2012). Preliminary Investigations of Multi-Core Accelerated Embedded Uncertainty Quantification [Conference]. https://www.osti.gov/biblio/1068443 Publication ID: 27299
  • Phipps, E., Eldred, M., & Eldred, M. (2012). Scalable Collocation Methods using a Combination of Krylov Basis Recycling and Adjoint Enhancement [Conference]. https://www.osti.gov/biblio/1145285 Publication ID: 26731
  • Pawlowski, R., Phipps, E., Salinger, A., & Salinger, A. (2012). Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming. Scientific Programming, 20(2), pp. 197-219. https://doi.org/10.1155/2012/202071 Publication ID: 28398
  • Phipps, E., Red-Horse, J., & Red-Horse, J. (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
  • Phipps, E., Pawlowski, R., Salinger, A., & Salinger, A. (2011). Embedded Algorithms through Template-based Generic Programming [Conference]. https://www.osti.gov/biblio/1111712 Publication ID: 25265
  • Phipps, E., Constantine, P., & Constantine, P. (2011). A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Approximations [Conference]. https://www.osti.gov/biblio/1106168 Publication ID: 24917
  • Phipps, E. (2011). Embedded Stochastic Galerkin Projection and Solver Methods via Template-based Generic Programming [Conference]. https://www.osti.gov/biblio/1106253 Publication ID: 24919
  • Pawlowski, R., Phipps, E., Salinger, A., & Salinger, A. (2011). Building Hierarchical Toolchains for Nonlinear Analysis [Conference]. https://www.osti.gov/biblio/1111722 Publication ID: 25192
  • Pawlowski, R., Phipps, E., Owen, S., Siefert, C., Staten, M., & Staten, M. (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
  • Najm, H.N., Debusschere, B., Eldred, M., Phipps, E., & Phipps, E. (2011). SciDAC Institute QUEST (Quantification of Uncertainty in Extreme Scale Computations) [Presentation]. https://www.osti.gov/biblio/1671447 Publication ID: 22509
  • Tuminaro, R., Phipps, E., & Phipps, E. (2011). ASSESSMENT OF COLLOCATION AND GALERKIN APPROACHES TO PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM DATA. International Journal of Uncertainty Quantification, 1(1). https://doi.org/10.1615/Int.J.UncertaintyQuantification.v1.i1.20 Publication ID: 21639
  • Salinger, A., Owen, S., Pawlowski, R., Phipps, E., Siefert, C., Staten, M., & Staten, M. (2011). Building a PDE with Componenets including shape optimization and embedded UQ [Conference]. https://www.osti.gov/biblio/1109209 Publication ID: 21746
  • Phipps, E. (2010). What is Piro [Conference]. https://www.osti.gov/biblio/1030277 Publication ID: 20622
  • Phipps, E., Ostien, J.T., & Ostien, J.T. (2010). Albany : a trilinos-based PDE application [Conference]. https://www.osti.gov/biblio/1030266 Publication ID: 20623
  • Phipps, E. (2010). Stokhos : Trilinos tools for embedded stochastic-Galerkin uncertainty quantification methods [Conference]. https://www.osti.gov/biblio/1030388 Publication ID: 20560
  • Phipps, E., Pawlowski, R., Red-Horse, J., Schmidt, R., Eldred, M., & Eldred, M. (2010). Mathematical and computational tools for predictive simulation of complex coupled systems under uncertainty [Conference]. https://www.osti.gov/biblio/1012752 Publication ID: 18202
  • Phipps, E. (2010). Intrusive stochastic Galerkin methods for uncertainty quantification of nonlinear stochastic PDEs [Conference]. https://www.osti.gov/biblio/1013801 Publication ID: 18299
  • Phipps, E. (2010). Analysis of intrusive Stochastic Galerkin methods for uncertainty quantification of stochastic PDEs [Conference]. https://www.osti.gov/biblio/991838 Publication ID: 17773
  • Phipps, E., Bartlett, R., & Bartlett, R. (2009). Sacado: Automatic Differentiation Tools for C++ Codes [Conference]. https://www.osti.gov/biblio/1141351 Publication ID: 17006
  • Phipps, E. (2009). A Comparison of Intrusive Stochastic Galerkin Methods for Uncertainty Quantification of Stochastic PDEs [Conference]. https://www.osti.gov/biblio/1142204 Publication ID: 16570
  • Phipps, E., Salinger, A., Pawlowski, R., & Pawlowski, R. (2009). LOCA and Other Trilinos Tools for Analysis of Large-Scale Dynamical Systems [Conference]. https://www.osti.gov/biblio/1141912 Publication ID: 16167
  • Phipps, E. (2008). Stokhos: Trilinos Tools for Embedded Stochastic-Galerkin Uncertainty Quantification Methods [Conference]. https://www.osti.gov/biblio/1142497 Publication ID: 15175
  • Hoekstra, R., Hennigan, G., Pawlowski, R., Phipps, E., Shadid, J.N., Musson, L., Keiter, E., & Keiter, E. (2008). High Fidelity Simulation for Semiconductor Electrical Devices in Extreme Environments [Conference]. https://www.osti.gov/biblio/1142722 Publication ID: 15327
  • Phipps, E., Eldred, M., Salinger, A., & Salinger, A. (2008). LDRD Final Report: Capabilities for Uncertainty in Predictive Science. https://doi.org/10.2172/1130397 Publication ID: 14975
  • Phipps, E. (2008). Software needs, challenges and opportunities in polynomial chaos modeling for large-scale applications [Conference]. https://www.osti.gov/biblio/947839 Publication ID: 14582
  • Phipps, E. (2008). A Recent Perspective on Predictive Computational Science: Educational Needs and Opportunities [Conference]. https://www.osti.gov/biblio/1143024 Publication ID: 13944
  • Phipps, E. (2008). Analytic Sensitivity and Uncertainty Computations in Large-Scale Applications via Automatic Differentiation [Presentation]. https://www.osti.gov/biblio/1712642 Publication ID: 13183
  • Pawlowski, R., Shadid, J.N., Phipps, E., & Phipps, E. (2008). Fully-Implicit / Direct-to-steady-state Solution of FE Formulations for Resistive Magneto-Hydrodynamic Systems [Conference]. https://www.osti.gov/biblio/1145694 Publication ID: 13187
  • Phipps, E. (2008). Enabling Predictive Simulation Through Embedded Sensitivity Analysis and Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1710337 Publication ID: 13311
  • Pawlowski, R., Shadid, J.N., Phipps, E., Bartlett, R., & Bartlett, R. (2008). Analysis Tools for Large-scale Simulation with Application to Magnetohydrodynamics Physics [Conference]. https://www.osti.gov/biblio/1145798 Publication ID: 12977
  • Phipps, E. (2007). Bifurcation analysis software for large-scale and parallel applications with LOCA (with demonstration) [Conference]. https://www.osti.gov/biblio/1147876 Publication ID: 10460
  • Bartlett, R., Phipps, E., & Phipps, E. (2007). Benefits of Simulation Codes from Automatic Differentiation of Templated C++ [Conference]. https://www.osti.gov/biblio/1148248 Publication ID: 9767
  • Salinger, A., Phipps, E., & Phipps, E. (2007). General-Purpose Algorithms for Large-Scale Time-Periodic Flow Problems [Conference]. https://www.osti.gov/biblio/1148104 Publication ID: 10038
  • Phipps, E. (2006). Automatic Differentation of C++ Codes With Sacado [Conference]. https://www.osti.gov/biblio/1264033 Publication ID: 8359
  • Salinger, A., Dunlavy, D., Phipps, E., & Phipps, E. (2006). Periodic Orbits with 4D [Conference]. https://www.osti.gov/biblio/1264653 Publication ID: 8426
  • Hoekstra, R., Keiter, E., Phipps, E., & Phipps, E. (2006). A Multi-Physics Coupling Technique that Preserves Nonlinear Globalization Strategies [Conference]. https://www.osti.gov/biblio/1264586 Publication ID: 8447
  • Phipps, E., Phipps, E., & Phipps, E. (2006). Automatic Differentiation For enabling Predictive Simulations [Presentation]. https://www.osti.gov/biblio/1729778 Publication ID: 7210
  • Dunlavy, D., Phipps, E., & Phipps, E. (2006). Parallel space-time solutions of PDE applications [Conference]. https://www.osti.gov/biblio/943870 Publication ID: 6869
  • Bartlett, R., Gay, D.M., Phipps, E., & Phipps, E. (2006). Automatic differentiation of C++ codes for large-scale scientific computing [Conference]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33746628117&origin=inward Publication ID: 6776
  • Phipps, E., Salinger, A., Pawlowski, R., & Pawlowski, R. (2005). What’s New in NOX…Plus New Techniques for Solving Large-Scale Steady-State and Transient Stability Analysis Problems with LOCA [Presentation]. https://www.osti.gov/biblio/1728470 Publication ID: 6425
  • Phipps, E. (2005). New Automatic Differentiation Tools Expedite Code Development and Enable New Design Algorithms [Presentation]. https://www.osti.gov/biblio/1727365 Publication ID: 6373
  • Phipps, E. (2005). An Overview of Computational Science Research and Development at Sandia National Laboratories [Presentation]. https://www.osti.gov/biblio/1727358 Publication ID: 6335
  • Phipps, E., Salinger, A., Day, D., & Day, D. (2005). Bifurcation methods for large scale applications with examples from structural mechanics [Conference]. https://www.osti.gov/biblio/967824 Publication ID: 5937
  • Pawlowski, R., Hooper, R., Kolda, T., Phipps, E., Bader, B., Salinger, A., & Salinger, A. (2005). Solving nonlinear systems with NOX [Conference]. https://www.osti.gov/biblio/946962 Publication ID: 4642
  • Phipps, E. (2004). Periodic orbits of hybrid systems and parameter estimation via AD [Conference]. https://www.osti.gov/biblio/957683 Publication ID: 3505
  • Heroux, M., Kolda, T., Long, K., Hoekstra, R., Pawlowski, R., Phipps, E., Salinger, A., Williams, A., Heroux, M., Hu, J., Lehoucq, R., Thornquist, H., Tuminaro, R., Willenbring, J.M., Bartlett, R., Howle, V.E., & Howle, V.E. (2003). An overview of Trilinos. https://doi.org/10.2172/918383 Publication ID: 2497
Showing 10 of 144 publications.

Projects

Albany
Trilinos

Software

Genten: Software for Generalized Tensor Decompositions

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