Folded Polynomial Codes for Coded Distributed AA<sup>⊤</sup>-Type Matrix Multiplication-Reference-Cited by-同舟云学术

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Folded Polynomial Codes for Coded Distributed AA^⊤-Type Matrix Multiplication

Published:2023-09 Issue:9 Volume:71 Page:5051-5064
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Xu Jingke¹^ORCID,Zhang Yaqian²^ORCID,Wang Libo³^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong Agricultural University, Tai’an, China

2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

3. School of Cyber Science and Technology, Hubei University, Wuhan, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Natural Science Foundation of Shandong Province of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Laboratory of Applied Mathematics of Fujian Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10252108/10153706.pdf?arnumber=10153706

Reference37 articles.

1. Numerically Stable Polynomially Coded Computing

2. Spark: Cluster computing with working sets;zaharia;Proc 2nd USENIX HotCloud,2010

3. On the Optimal Recovery Threshold of Coded Matrix Multiplication

4. Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

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