Bifurcation Tracking Algorithms and Software for Large Scale Applications. - Andrew G. Salinger; E. A. Burroughs; Roger P. Pawlowski; Eric T. Phipps; Louis A. Romero (Int. J. Bifurc. Chaos, 2005)

An overview of the Trilinos project. - Michael A. Heroux; Roscoe A. Bartlett; Vicki 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 Thornquist; et al. (ACM Trans. Math. Softw., 2005)

Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing. - Roscoe A. Bartlett; David M. Gay; Eric T. Phipps (International Conference on Computational Science (4), 2006)

Adaptivity and a Posteriori Error Control for Bifurcation Problems II: Incompressible Fluid Flow in Open Systems with Z2 Symmetry. - K. Andrew Cliffe; Edward J. C. Hall; Paul Houston; Eric T. Phipps; Andrew G. Salinger (J. Sci. Comput., 2011)

A Lanczos method for approximating composite functions. - Paul G. Constantine; Eric T. Phipps (Appl. Math. Comput., 2012)

Efficient Expression Templates for Operator Overloading-based Automatic Differentiation - Eric T. Phipps; Roger P. Pawlowski (CoRR, 2012)

Adaptivity and a Posteriori Error Control for Bifurcation Problems III: Incompressible Fluid Flow in Open Systems with O(2) Symmetry. - K. Andrew Cliffe; Edward J. C. Hall; Paul Houston; Eric T. Phipps; Andrew G. Salinger (J. Sci. Comput., 2012)

Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming. - Roger P. Pawlowski; Eric T. Phipps; Andrew G. Salinger (Sci. Program., 2012)

Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part II: Application to partial differential equations. - Roger P. Pawlowski; Eric T. Phipps; Andrew G. Salinger; Steven J. Owen; Christopher M. Siefert; Matthew L. Staten (Sci. Program., 2012)

Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study. - Paul T. Lin; Matthew T. Bettencourt; Stefan Domino; Travis Fisher; Mark Hoemmen; Jonathan J. Hu; Eric T. Phipps; Andrey Prokopenko; Sivasankaran Rajamanickam; Christopher M. Siefert; Eric C. Cyr; Stephen Kennon (IPDPS Workshops, 2014)

Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods. - Eric T. Phipps; Jonathan J. Hu; Jakob T. Ostien (Int. J. Comput. Math., 2014)

Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday. - Bedrich Sousedík; Roger G. Ghanem; Eric T. Phipps (Numer. Linear Algebra Appl., 2014)

Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos. - Paul T. Lin; Matthew T. Bettencourt; Stefan Domino; Travis Fisher; Mark Hoemmen; Jonathan J. Hu; Eric T. Phipps; Andrey Prokopenko; Sivasankaran Rajamanickam; Christopher M. Siefert; Stephen Kennon (Parallel Process. Lett., 2014)

Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures. - Eric T. Phipps; Marta D'Elia; H. Carter Edwards; Mark Hoemmen; Jonathan J. Hu; Sivasankaran Rajamanickam (SIAM J. Sci. Comput., 2017)

Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. - Marta D'Elia; H. Carter Edwards; Jonathan J. Hu; Eric T. Phipps; Sivasankaran Rajamanickam (SIAM/ASA J. Uncertain. Quantification, 2018)

A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures. - Damodar Sahasrabudhe; Eric T. Phipps; Sivasankaran Rajamanickam; Martin Berzins (WACCPD@SC, 2019)

Software for Sparse Tensor Decomposition on Emerging Computing Architectures. - Eric T. Phipps; Tamara G. Kolda (SIAM J. Sci. Comput., 2019)

Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition. - Cannada Lewis; Eric T. Phipps (HPEC, 2021)

Streaming Generalized Canonical Polyadic Tensor Decompositions. - Eric T. Phipps; Nick Johnson; Tamara G. Kolda (CoRR, 2021)

FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition. - Benjamin Cobb; Hemanth Kolla; Eric T. Phipps; Ümit V. Çatalyürek (PASC, 2022)

Parallel memory-efficient computation of symmetric higher-order joint moment tensors. - Zitong Li; Hemanth Kolla; Eric T. Phipps (PASC, 2022)

Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado. - Eric T. Phipps; Roger P. Pawlowski; Christian Trott (ACM Trans. Math. Softw., 2022)

Streaming Generalized Canonical Polyadic Tensor Decompositions. - Eric T. Phipps; Nicholas T. Johnson; Tamara G. Kolda (PASC, 2023)

Strengthening the US Department of Energy's Recruitment Pipeline: The DOE/NNSA Predictive Science Academic Alliance Program (PSAAP) Experience. - John K. Holmen; Verónica G. Vergara Larrea; Erik W. Draeger; Eric T. Phipps; Philip J. Smith; Martin Berzins; Sean T. Smith; Jeremy N. Thornock; Suzanne Parete-Koon (PEARC, 2023)

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression. - Saibal De; Zitong Li; Hemanth Kolla; Eric T. Phipps (CoRR, 2023)

Hybrid Parallel Tucker Decomposition of Streaming Data. - Saibal De; Hemanth Kolla; Antoine Meyer; Eric T. Phipps; Francesco Rizzi (PASC, 2024)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)

Performance Portable Gradient Computations Using Source Transformation. - Kim Liegeois; Brian Kelley; Eric T. Phipps; Sivasankaran Rajamanickam; Vassil Vassilev (CoRR, 2025)