Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA-Reference-Cited by-同舟云学术

Accelerating Sparse MTTKRP for Tensor Decomposition on FPGA

Published:2023-02-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays
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Author:

Wijeratne Sasindu¹^ORCID,Wang Ta-Yang¹^ORCID,Kannan Rajgopal²^ORCID,Prasanna Viktor¹^ORCID

Affiliation:

1. University of Southern California, Los Angeles, CA, USA

2. DEVCOM US Army Research Lab, Los Angeles, CA, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543622.3573179

Reference27 articles.

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2. A Novel Rank Selection Scheme in Tensor Ring Decomposition Based on Reinforcement Learning for Deep Neural Networks

3. Sofia Fernandes , Hadi Fanaee-T, and João Gama . 2020. Tensor decomposition for analysing time-evolving social networks: An overview. Artificial Intelligence Review ( 2020 ), 1--26. Sofia Fernandes, Hadi Fanaee-T, and João Gama. 2020. Tensor decomposition for analysing time-evolving social networks: An overview. Artificial Intelligence Review (2020), 1--26.

4. Bounds on Multiprocessing Timing Anomalies

5. ALTO

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