Parallel Randomized Tucker Decomposition Algorithms
The Tucker tensor decomposition is a natural extension of the singular value decomposition
(SVD) to multiway data. We propose to accelerate Tucker tensor decomposition algorithms …
(SVD) to multiway data. We propose to accelerate Tucker tensor decomposition algorithms …
FIST-HOSVD: fused in-place sequentially truncated higher order singular value decomposition
In this paper, several novel methods of improving the memory locality of the Sequentially
Truncated Higher Order Singular Value Decomposition (ST-HOSVD) algorithm for …
Truncated Higher Order Singular Value Decomposition (ST-HOSVD) algorithm for …
Implementing a Tiled Singular Value Decomposition: A Framework for Tiled Linear Algebra in Julia
E Ringoot - 2024 - dspace.mit.edu
High-performance computing (HPC) is essential for scientific research, enabling complex
simulations and analyses across various fields. However, the specialized knowledge …
simulations and analyses across various fields. However, the specialized knowledge …
Efficient Computation of the Tucker Decomposition and Moment Tensor
Z Li - 2022 - search.proquest.com
Data can be organized in different ways. It is called a vector when organized as a 1D list, a
matrix when organized as a 2D grid, and a tensor when organized as a grid of 3 or more …
matrix when organized as a 2D grid, and a tensor when organized as a grid of 3 or more …
[PDF][PDF] Towards Sustainable CNNs: Tensor Decompositions for
AI Green, D Breen - repository.tudelft.nl
The ever-increasing complexity of Artificial Intelligence (AI) models has led to environmental
challenges due to high computation and energy demands. This thesis explores the …
challenges due to high computation and energy demands. This thesis explores the …