Nov 12, 2020 · We present efficient and scalable parallel algorithms for performing mathematical operations for low-rank tensors represented in the tensor train (TT) format.
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In this paper, we propose four parallelizable algorithms that compute the TT format from various tensor inputs: (1) Parallel-TTSVD for traditional format, (2) ...
We present efficient and scalable parallel algorithms for performing mathematical operations for low-rank tensors represented in the tensor train (TT) format.
May 21, 2021 · TT Rounding. Given a tensor in TT format, want to compress the ranks. • algebraic operations on TT formats over-extend ranks.
Nov 19, 2021 · In this paper, we propose four parallelizable algorithms that compute the TT format from various tensor inputs.
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Nov 12, 2020 · We present efficient and scalable parallel algorithms for performing mathematical operations for low-rank tensors represented in the tensor ...
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Posted: Apr 6, 2021
Posted: Apr 6, 2021
Apr 1, 2021 · Al Daas, H., Ballard, G., and Benner, P. (2020). Parallel algorithms for tensor train arithmetic. arXiv, 2011.06532. Benner, P ...
Nov 21, 2020 · We present efficient and scalable parallel algorithms for performing mathematical operations for low-rank tensors represented in the tensor ...
Each entry of a tensor is represented by the product of d matrices, where the kth matrix in the “train” is selected based on the value of ik. The k-mode product ...