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Publication	Type	Year
Distributed Generalized Canonical Polyadic Decomposition SIAM Conference on Applied Linear Algebra Cannada Lewis, Eric T. Phipps, Tamara G. Kolda https://www.osti.gov/search/identifier:1870276	Conference Presentation – 2021 Conference Presentation	2021
Generalized Canonical Polyadic Tensor Decompositions for Streaming Data 2021 SIAM Conference on Computational Science and Engineering Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda https://www.osti.gov/search/identifier:1847210	Conference Presentation – 2021 Conference Presentation	2021
Streaming Tensors Tensor Tech Exchange Nicholas T. Johnson, Tamara G. Kolda, Eric T. Phipps https://www.osti.gov/search/identifier:1770553	Presentation (non-conference) – 2020 Presentation (non-conference)	2020
Computing Generalized CP Decompositions on Emerging Parallel Architectures SIAM Conference on Parallel Processing for Scientific Computing (PP20) Eric T. Phipps, Tamara G. Kolda https://www.osti.gov/search/identifier:1764768	Conference Paper – 2020 Conference Paper	2020
High performance tensor decomposition on emerging manycore architectures AI and Tensor Factorization for Physical Chemical and Biological Systems Eric T. Phipps, Tamara G. Kolda https://www.osti.gov/search/identifier:1641967	Conference Paper – 2019 Conference Paper	2019
Software for Sparse Tensor Decomposition on Emerging Computing Architectures SIAM Journal on Scientific Computing Eric T. Phipps, Tamara G. Kolda https://www.osti.gov/search/identifier:1542146	Journal Article – 2019 Journal Article	2019
Parallel Sparse Tensor Decomposition with the Trilinos Parallel Linear Algebra Framework SIAM Conference on Computational Science and Engineering Karen D. Devine, Tamara G. Kolda, Eric T. Phipps https://www.osti.gov/search/identifier:1639389	Conference Paper – 2019 Conference Paper	2019
Performance portable parallel sparse CP-APR tensor decompositions SIAM Conference on Computational Science and Engineering (CSE19) Keita Teranishi, Daniel Dunlavy, Richard Frederick Barrett, Tamara G. Kolda, Christopher Forster https://www.osti.gov/search/identifier:1639247	Conference Paper – 2019 Conference Paper	2019
SNL ATDM: In-situ Compression with ParaView/TuckerMPI ECP Annual Meeting Hemanth Kolla, Ron A. Oldfield, Thomas Jay Otahal, Gavin Matthew Baker, Jeffrey A. Mauldin, Tamara G. Kolda, Kenneth D. Moreland https://www.osti.gov/search/identifier:1807003	Conference Paper – 2018 Conference Paper	2018
Exploiting Scientific Software to Solve Problems in Data Analytics IPAM Workshop IIIHPC for Computationally and Data-Intensive Problems Karen D. Devine, Erik Gunnar Boman, Daniel Dunlavy, Tamara G. Kolda, Michael Wolf https://www.osti.gov/search/identifier:1574573	Conference Paper – 2018 Conference Paper	2018
Performance portable parallel CP-APR tensor decompositions Sparse Days 2018 Keita Teranishi, Richard Frederick Barrett, Christopher (NVIDIA) Forster, Daniel Dunlavy, Tamara G. Kolda https://www.osti.gov/search/identifier:1806849	Conference Paper – 2018 Conference Paper	2018
Performance portable parallel CP-APR tensor decompositions Sparse Days 18 Richard Frederick Barrett, Christopher (NVIDIA) Forster, Daniel Dunlavy, Tamara G. Kolda, Keita Teranishi	Abstract – 2018 Abstract	2018
A performance portable parallel CP-APR decomposition Sparse Days 18 Richard Frederick Barrett, Christopher (NVIDIA) Forster, Tamara G. Kolda, Daniel Dunlavy	Abstract – 2018 Abstract	2018
A Performance Portable Sparse Tensor Decomposition for Poisson Regression Problems Cis Erb Daniel Dunlavy, Richard Frederick Barrett, Richard B. Lehoucq, Tamara G. Kolda, Keita Teranishi	Presentation (non-conference) – 2018 Presentation (non-conference)	2018
Higher Order Joint Moment Tensor Decomposition SIAM Conference on Parallel Processing for Scientific Computing Hemanth Kolla, Aditya Konduri, Prashant Rai, Tamara G. Kolda, Warren Leon Davis https://www.osti.gov/search/identifier:1499845	Conference Paper – 2018 Conference Paper	2018
Tensor Decompositions on Emerging Manycore Hardware with Genten and Kokkos SIAM Conference on Parallel Processing Eric T. Phipps, Tamara G. Kolda https://www.osti.gov/search/identifier:1495746	Conference Paper – 2018 Conference Paper	2018
Analysis of Performance and Portability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures using Kokkos Nvidia Gtc Christopher James Forster, Keita Teranishi, Daniel Dunlavy, Tamara G. Kolda	Abstract – 2017 Abstract	2017
Analysis of Performance and Portability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures Siam Pp 2018 Christopher James Forster, Keita Teranishi, Daniel Dunlavy, Tamara G. Kolda, Christopher James Forster, Christopher James Forster	Abstract – 2017 Abstract	2017
Parallel Tensor Decompositions for Massive, Heterogeneous, Incomplete Data CIS External Review Eric T. Phipps, Tamara G. Kolda, Clifford Isaac Anderson-Bergman, Karen D. Devine, Daniel Dunlavy, David Hong, Richard Vuduc, Jaijai Li, Jeff Young, Grey Ballard https://www.osti.gov/search/identifier:1465080	Display or Poster (non-conference) – 2017 Display or Poster (non-conference)	2017
Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures Advanced Supercomputing Environment Seminat University of Tokuyo Keita Teranishi, Christopher James Forster, Daniel Dunlavy, Tamara G. Kolda https://www.osti.gov/search/identifier:1462627	Presentation (non-conference) – 2017 Presentation (non-conference)	2017
Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures The Laboratory for Physical Science, HPC Analytics Workshop Keita Teranishi, Christopher James Forster, Daniel Dunlavy, Tamara G. Kolda https://www.osti.gov/search/identifier:1458407	Conference Paper – 2017 Conference Paper	2017
Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures 2017 SIAM Annual Meeting Christopher James Forster, Keita Teranishi, Greg Edward Mackey, Daniel Dunlavy, Tamara G. Kolda	Abstract – 2017 Abstract	2017
Sandia Software for Networks from DARPA GRAPHS Program DARPA GRAPHS Special Projects Meeting Tamara G. Kolda, Todd Plantenga, Ali Pinar, Seshadhri Comandur, Jonathan W. Berry, Madhav Jha, Cynthia Ann Phillips, Christine Task https://www.osti.gov/search/identifier:1145819	Conference Paper – 2014 Conference Paper	2014
All-at-once Optimization for Coupled Matrix and Tensor Factorizations Ninth Workshop Mining and Learning with Graphs Daniel Dunlavy, Tamara G. Kolda, Evrim Acar https://www.osti.gov/search/identifier:1143930	Conference Paper – 2011 Conference Paper	2011
Shifted Power Method for Computing Tensor Eigenpairs Tamara G. Kolda, Daniel Dunlavy https://www.osti.gov/search/identifier:1005408	SAND Report – 2010 SAND Report	2010
Document Title	Type	Year

Results 1–25 of 46

Publications

Distributed Generalized Canonical Polyadic Decomposition

Generalized Canonical Polyadic Tensor Decompositions for Streaming Data

Streaming Tensors

Computing Generalized CP Decompositions on Emerging Parallel Architectures

High performance tensor decomposition on emerging manycore architectures

Software for Sparse Tensor Decomposition on Emerging Computing Architectures

Parallel Sparse Tensor Decomposition with the Trilinos Parallel Linear Algebra Framework

Performance portable parallel sparse CP-APR tensor decompositions

SNL ATDM: In-situ Compression with ParaView/TuckerMPI

Exploiting Scientific Software to Solve Problems in Data Analytics

Performance portable parallel CP-APR tensor decompositions

Performance portable parallel CP-APR tensor decompositions

A performance portable parallel CP-APR decomposition

A Performance Portable Sparse Tensor Decomposition for Poisson Regression Problems

Higher Order Joint Moment Tensor Decomposition

Tensor Decompositions on Emerging Manycore Hardware with Genten and Kokkos

Analysis of Performance and Portability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures using Kokkos

Analysis of Performance and Portability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures

Parallel Tensor Decompositions for Massive, Heterogeneous, Incomplete Data

Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures

Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures

Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures

Sandia Software for Networks from DARPA GRAPHS Program

All-at-once Optimization for Coupled Matrix and Tensor Factorizations

Shifted Power Method for Computing Tensor Eigenpairs