Eric T. Phipps

According to our database, Eric T. Phipps authored at least 24 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression.

Saibal De, Zitong Li, Hemanth Kolla, Eric T. Phipps

CoRR, 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

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Streaming Generalized Canonical Polyadic Tensor Decompositions.

Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

2022

Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado.

Eric T. Phipps, Roger P. Pawlowski, Christian Trott

ACM Trans. Math. Softw., December, 2022

Parallel memory-efficient computation of symmetric higher-order joint moment tensors.

Zitong Li, Hemanth Kolla, Eric T. Phipps

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

2021

Streaming Generalized Canonical Polyadic Tensor Decompositions.

Eric T. Phipps, Nick Johnson, Tamara G. Kolda

CoRR, 2021

Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition.

Cannada Lewis, Eric T. Phipps

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

2019

Software for Sparse Tensor Decomposition on Emerging Computing Architectures.

Eric T. Phipps, Tamara G. Kolda

SIAM J. Sci. Comput., 2019

A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures.

Damodar Sahasrabudhe, Eric T. Phipps, Sivasankaran Rajamanickam, Martin Berzins

Proceedings of the Accelerator Programming Using Directives - 6th International Workshop, 2019

2018

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

2017

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

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

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

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

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

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

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

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

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

Efficient Expression Templates for Operator Overloading-based Automatic Differentiation

Eric T. Phipps, Roger P. Pawlowski

CoRR, 2012

A Lanczos method for approximating composite functions.

Paul G. Constantine, Eric T. Phipps

Appl. Math. Comput., 2012

2011

Adaptivity and a Posteriori Error Control for Bifurcation Problems II: Incompressible Fluid Flow in Open Systems with <i>Z</i>₂ Symmetry.

K. Andrew Cliffe, Edward J. C. Hall, Paul Houston, Eric T. Phipps, Andrew G. Salinger

J. Sci. Comput., 2011

2006

Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing.

Roscoe A. Bartlett, David M. Gay, Eric T. Phipps

Proceedings of the Computational Science, 2006

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, Ray S. Tuminaro, James M. Willenbring, Alan B. Williams, Kendall S. Stanley

ACM Trans. Math. Softw., 2005

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