Eric T. Phipps

34 papers Misc 1Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Performance Portable Matrix Free Dense MTTKRP in GenTen.
CoRR
Gabriel Kosmacher, Eric T. Phipps, Sivasankaran Rajamanickam
2025 J jnl
Goal-Oriented Low-Rank Tensor Decompositions for Numerical Simulation Data.
CoRR
Daniel M. Dunlavy, Eric T. Phipps, Hemanth Kolla, John N. Shadid, Edward G. Phillips
2025 J jnl
Performance Portable Gradient Computations Using Source Transformation.
CoRR
Kim Liegeois, Brian Michael Kelley, Eric T. Phipps, Sivasankaran Rajamanickam, Vassil Vassilev
2025 J jnl
Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale.
CoRR
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, Jonathan J. Hu, Brian Michael Kelley, Kyungjoo Kim, Drew P. Kouri, Paul Kuberry, Kim Liegeois, Curtis C. Ober, Roger P. Pawlowski, Carl Pearson, Mauro Perego, Eric T. Phipps, Denis Ridzal, Nathan V. Roberts, Christopher M. Siefert, Heidi Thornquist, Romin Tomasetti, Christian R. Trott, Raymond S. Tuminaro, James M. Willenbring, Michael M. Wolf, Ichitaro Yamazaki
2024 — conf
Hybrid Parallel Tucker Decomposition of Streaming Data.
PASC
Saibal De, Hemanth Kolla, Antoine Meyer, Eric T. Phipps, Francesco Rizzi
2023 J jnl
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression.
CoRR
Saibal De, Zitong Li, Hemanth Kolla, Eric T. Phipps
2023 — conf
Streaming Generalized Canonical Polyadic Tensor Decompositions.
PASC
Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda
2023 — conf
Strengthening the US Department of Energy's Recruitment Pipeline: The DOE/NNSA Predictive Science Academic Alliance Program (PSAAP) Experience.
PEARC
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
2022 J jnl
Automatic Differentiation of C++ Codes on Emerging Manycore Architectures with Sacado.
ACM Trans. Math. Softw.
Eric T. Phipps, Roger P. Pawlowski, Christian Trott
2022 — conf
FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition.
PASC
Benjamin Cobb, Hemanth Kolla, Eric T. Phipps, Ümit V. Çatalyürek
2022 — conf
Parallel memory-efficient computation of symmetric higher-order joint moment tensors.
PASC
Zitong Li, Hemanth Kolla, Eric T. Phipps
2021 — conf
Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition.
HPEC
Cannada A. Lewis, Eric T. Phipps
2021 J jnl
Streaming Generalized Canonical Polyadic Tensor Decompositions.
CoRR
Eric T. Phipps, Nick Johnson, Tamara G. Kolda
2019 — conf
A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures.
WACCPD@SC
Damodar Sahasrabudhe, Eric T. Phipps, Sivasankaran Rajamanickam, Martin Berzins
2019 J jnl
Software for Sparse Tensor Decomposition on Emerging Computing Architectures.
SIAM J. Sci. Comput.
Eric T. Phipps, Tamara G. Kolda
2018 J jnl
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems.
SIAM/ASA J. Uncertain. Quantification
Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam
2018 J jnl
Software for Sparse Tensor Decomposition on Emerging Computing Architectures.
CoRR
Eric T. Phipps, Tamara G. Kolda
2017 J jnl
Embedded Ensemble Propagation for Improving Performance, Portability, and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
SIAM J. Sci. Comput.
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
2015 J jnl
Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures.
CoRR
Eric T. Phipps, Marta D'Elia, H. Carter Edwards, Mark Hoemmen, Jonathan J. Hu, Sivasankaran Rajamanickam
2014 J jnl
Exploring emerging manycore architectures for uncertainty quantification through embedded stochastic Galerkin methods.
Int. J. Comput. Math.
Eric T. Phipps, Jonathan J. Hu, Jakob T. Ostien
2014 J jnl
Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday.
Numer. Linear Algebra Appl.
Bedrich Sousedík, Roger G. Ghanem, Eric T. Phipps
2014 J jnl
Towards Extreme-Scale Simulations for Low Mach Fluids with Second-Generation Trilinos.
Parallel Process. Lett.
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
2014 — conf
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.
IPDPS Workshops
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
2012 J jnl
A Lanczos method for approximating composite functions.
Appl. Math. Comput.
Paul G. Constantine, Eric T. Phipps
2012 J jnl
Adaptivity and a Posteriori Error Control for Bifurcation Problems III: Incompressible Fluid Flow in Open Systems with O(2) Symmetry.
J. Sci. Comput.
K. Andrew Cliffe, Edward J. C. Hall, Paul Houston, Eric T. Phipps, Andrew G. Salinger
2012 J jnl
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part I: template-based generic programming.
CoRR
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger
2012 J jnl
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part II: application to partial differential equations.
CoRR
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Steven J. Owen, Christopher M. Siefert, Matthew L. Staten
2012 J jnl
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part I: Template-based generic programming.
Sci. Program.
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger
2012 J jnl
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation, Part II: Application to partial differential equations.
Sci. Program.
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Steven J. Owen, Christopher M. Siefert, Matthew L. Staten
2012 J jnl
Efficient Expression Templates for Operator Overloading-based Automatic Differentiation
CoRR
Eric T. Phipps, Roger P. Pawlowski
2011 J jnl
Adaptivity and a Posteriori Error Control for Bifurcation Problems II: Incompressible Fluid Flow in Open Systems with
J. Sci. Comput.
K. Andrew Cliffe, Edward J. C. Hall, Paul Houston, Eric T. Phipps, Andrew G. Salinger
2006 Misc conf
Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing.
International Conference on Computational Science (4)
Roscoe A. Bartlett, David M. Gay, Eric T. Phipps
2005 J jnl
An overview of the Trilinos project.
ACM Trans. Math. Softw.
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
2005 J jnl
Bifurcation Tracking Algorithms and Software for Large Scale Applications.
Int. J. Bifurc. Chaos
Andrew G. Salinger, E. A. Burroughs, Roger P. Pawlowski, Eric T. Phipps, Louis A. Romero