Efficient and effective sparse tensor reordering
Author:
Affiliation:
1. Pacific Northwest National Laboratory
2. CNRS and ENS Lyon, France
3. Georgia Institute of Technology
Funder
U.S. Department of Energy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3330345.3330366
Reference48 articles.
1. M.ín Abadi etal 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. M.ín Abadi et al. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems.
2. Exploiting Locality in Sparse Matrix-Matrix Multiplication on Many-Core Architectures
3. Tensor Decompositions for Learning Latent Variable Models;Anandkumar A.;J. Mach. Learn. Res.,2014
4. Efficient MATLAB Computations with Sparse and Factored Tensors
5. B. W. Bader T. G. Kolda etal 2017. MATLAB Tensor Toolbox (Version 3.0-dev). Available online. https://www.tensortoolbox.org B. W. Bader T. G. Kolda et al. 2017. MATLAB Tensor Toolbox (Version 3.0-dev). Available online. https://www.tensortoolbox.org
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