Fast algorithms for matrix multiplication using pseudo-number-theoretic transforms
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx4/78/8370/00365287.pdf?arnumber=365287
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Efficient and Robust Distributed Matrix Computations via Convolutional Coding;IEEE Transactions on Information Theory;2021-09
2. Numerically stable coded matrix computations via circulant and rotation matrix embeddings;IEEE Transactions on Information Theory;2021
3. AxSA: On the Design of High-Performance and Power-Efficient Approximate Systolic Arrays for Matrix Multiplication;Journal of Signal Processing Systems;2020-08-11
4. Straggler-Resistant Distributed Matrix Computation via Coding Theory: Removing a Bottleneck in Large-Scale Data Processing;IEEE Signal Processing Magazine;2020-05
5. Design and Evaluation of a Power-Efficient Approximate Systolic Array Architecture for Matrix Multiplication;2019 IEEE International Workshop on Signal Processing Systems (SiPS);2019-10
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