Parallel MMF: a Multiresolution Approach to Matrix Computation

Type: Preprint

Publication Date: 2015-07-15

Citations: 6

Locations

  • arXiv (Cornell University) - View

Similar Works

Action Title Year Authors
+ Parallel MMF: a Multiresolution Approach to Matrix Computation 2015 Risi Kondor
Nedelina Teneva
Pramod K. Mudrakarta
+ Asymmetric Multiresolution Matrix Factorization 2019 Pramod Kaushik Mudrakarta
Shubhendu Trivedi
Risi Kondor
+ PDF Chat Multiresolution Low-rank Tensor Formats 2020 Oscar Mickelin
Sertaç Karaman
+ Large Scale Tensor Decompositions: Algorithmic Developments and Applications. 2013 Evangelos E. Papalexakis
U Kang
Christos Faloutsos
Nicholas D. Sidiropoulos
Abhay Harpale
+ PDF Chat Accelerating the Tucker Decomposition with Compressed Sparse Tensors 2017 Shaden Smith
George Karypis
+ Large-scale tucker Tensor factorization for sparse and accurate decomposition 2022 Jun-Gi Jang
Moonjeong Park
Jongwuk Lee
Lee Sael
+ Parallel algorithms for computing low rank decompositions of matrices and tensors 2023 Matthias Beaupère
+ Algorithms for Large-Scale Sparse Tensor Factorization 2019 Shaden Smith
+ A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases 2014 Ivan Chernov
+ Scalable sparse tensor decompositions in distributed memory systems 2015 Oguz Kaya
Bora Uçar
+ Sparsity-Aware Tensor Decomposition 2022 SĂźreyya Emre Kurt
Saurabh Raje
Aravind Sukumaran-Rajam
P. Sadayappan
+ Matrix spectral factorization and wavelets 2013 Gigla Janashia
Edem Lagvilava
Lasha Ephremidze
+ PDF Chat High Performance Parallel Algorithms for Tensor Decompositions 2017 Oğuz Kaya
+ PDF Chat Contributions to fast matrix and tensor decompositions 2016 Viet-Dung Nguyen
+ A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization 2016 Shaden Smith
George Karypis
+ Tensor decompositions: computations, applications, and challenges 2022 Yingyue Bi
Yingcong Lu
Zhen Long
Ce Zhu
Yipeng Liu
+ A Class of Sparse Unimodular Matrices Generating Multiresolution and Sampling Analysis for Data of Any Length 2008 Nikolaos Atreas
C. Karanikas
Persefoni Polychronidou
+ An Overview of Tensor Decompositions for Data Analysis with Emphasis on Computation and Scalability. 2017 Tamara G. Kolda
+ PDF Chat Parallel Minimum Spanning Forest Computation using Sparse Matrix Kernels 2022 Tim Baer
Raghavendra Kanakagiri
Edgar Solomonik
+ Efficient Parallel Sparse Symmetric Tucker Decomposition for High-Order Tensors 2021 Shruti Shivakumar
Jiajia Li
Ramakrishnan Kannan
Srinivas Aluru