ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1510.06689
  4. Cited By
Parallel Tensor Compression for Large-Scale Scientific Data
v1v2 (latest)

Parallel Tensor Compression for Large-Scale Scientific Data

22 October 2015
W. Austin
Grey Ballard
T. Kolda
ArXiv (abs)PDFHTML

Papers citing "Parallel Tensor Compression for Large-Scale Scientific Data"

23 / 23 papers shown
Title
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
Sai Karthikeya Vemuri
Tim Buchner
Joachim Denzler
AI4CE
87
2
0
27 Mar 2025
Scalable Volume Visualization for Big Scientific Data Modeled by
  Functional Approximation
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation
Jianxin Sun
David Lenz
Hongfeng Yu
Tom Peterka
18
3
0
22 Dec 2023
Communication Lower Bounds and Optimal Algorithms for Multiple
  Tensor-Times-Matrix Computation
Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation
Hussam Al Daas
Grey Ballard
L. Grigori
Suraj Kumar
Kathryn Rouse
23
4
0
21 Jul 2022
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense
  Tensors
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors
Jun-Gi Jang
U. Kang
45
11
0
24 Mar 2022
A rank-adaptive higher-order orthogonal iteration algorithm for
  truncated Tucker decomposition
A rank-adaptive higher-order orthogonal iteration algorithm for truncated Tucker decomposition
Chuanfu Xiao
Chao Yang
42
5
0
25 Oct 2021
Tensor Train Random Projection
Tensor Train Random Projection
Yani Feng
Keju Tang
Lianxing He
Pingqiang Zhou
Qifeng Liao
40
3
0
21 Oct 2020
a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for
  Dense Tensors on CPUs and GPUs
a-Tucker: Input-Adaptive and Matricization-Free Tucker Decomposition for Dense Tensors on CPUs and GPUs
Min Li
Chuanfu Xiao
Chao Yang
10
3
0
20 Oct 2020
Distributed Non-Negative Tensor Train Decomposition
Distributed Non-Negative Tensor Train Decomposition
Manish Bhattarai
Gopinath Chennupati
E. Skau
Raviteja Vangara
Hirsto Djidjev
Boian Alexandrov
41
15
0
04 Aug 2020
Efficient Alternating Least Squares Algorithms for Low Multilinear Rank
  Approximation of Tensors
Efficient Alternating Least Squares Algorithms for Low Multilinear Rank Approximation of Tensors
Chuanfu Xiao
Chao Yang
Min Li
14
2
0
06 Apr 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial
  Analysis
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park
K. T. Carr
Stephan Zhang
Yisong Yue
Rose Yu
107
14
0
13 Feb 2020
Compression challenges in large scale PDE solvers
Compression challenges in large scale PDE solvers
Sebastian Götschel
M. Weiser
AI4CE
42
4
0
01 Jul 2019
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Low-Rank Tucker Approximation of a Tensor From Streaming Data
Yiming Sun
Yang Guo
Charlene Luo
J. Tropp
Madeleine Udell
67
73
0
24 Apr 2019
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
Jiajia Li
Yuchen Ma
Xiaolong Wu
Ang Li
Kevin J. Barker
32
18
0
08 Feb 2019
OCTen: Online Compression-based Tensor Decomposition
OCTen: Online Compression-based Tensor Decomposition
Ekta Gujral
Ravdeep Pasricha
Tianxiong Yang
Evangelos E. Papalexakis
44
6
0
03 Jul 2018
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization
  for Analyzing Reactive-Mixing
Unsupervised Machine Learning Based on Non-Negative Tensor Factorization for Analyzing Reactive-Mixing
V. Vesselinov
M. Mudunuru
S. Karra
Daniel O’Malley
B. S. Alexandrov
38
42
0
16 May 2018
Improving Performance of Iterative Methods by Lossy Checkponting
Improving Performance of Iterative Methods by Lossy Checkponting
Dingwen Tao
Sheng Di
Xin Liang
Zizhong Chen
Franck Cappello
53
39
0
30 Apr 2018
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
Venkatesan T. Chakaravarthy
Jee W. Choi
Douglas J. Joseph
Prakash Murali
Shivmaran S. Pandian
Yogish Sabharwal
D. Sreedhar
29
26
0
25 Apr 2018
Multi-resolution Tensor Learning for Large-Scale Spatial Data
Multi-resolution Tensor Learning for Large-Scale Spatial Data
Stephan Zheng
Rose Yu
Yisong Yue
21
3
0
19 Feb 2018
Shared Memory Parallelization of MTTKRP for Dense Tensors
Shared Memory Parallelization of MTTKRP for Dense Tensors
Koby Hayashi
Grey Ballard
Jeffrey Jiang
Michael J. Tobia
22
1
0
29 Aug 2017
Communication Lower Bounds for Matricized Tensor Times Khatri-Rao
  Product
Communication Lower Bounds for Matricized Tensor Times Khatri-Rao Product
Grey Ballard
Nicholas Knight
Kathryn Rouse
49
32
0
24 Aug 2017
On Optimizing Distributed Tucker Decomposition for Dense Tensors
On Optimizing Distributed Tucker Decomposition for Dense Tensors
Venkatesan T. Chakaravarthy
Jee W. Choi
Douglas J. Joseph
Xing Liu
Prakash Murali
Yogish Sabharwal
D. Sreedhar
41
30
0
18 Jul 2017
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
A Unified Optimization Approach for Sparse Tensor Operations on GPUs
Bangtian Liu
Chengyao Wen
Anand D. Sarwate
M. Dehnavi
20
64
0
28 May 2017
Tensor clustering with algebraic constraints gives interpretable groups
  of crosstalk mechanisms in breast cancer
Tensor clustering with algebraic constraints gives interpretable groups of crosstalk mechanisms in breast cancer
A. Seigal
Mariano Beguerisse-Díaz
B. Schoeberl
M. Niepel
Heather A. Harrington
38
4
0
24 Dec 2016
1