2 papers
cs.DC2025
Efficient GPU-Centered Singular Value Decomposition Using the Divide-and-Conquer Method
Shifang Liu, Huiyuan Li, Hongjiao Sheng +2
Singular Value Decomposition (SVD) is a fundamental matrix factorization technique in linear algebra, widely applied in numerous matrix-related problems. However, traditional SVD a…
cs.PF2024
Optimizing Winograd Convolution on ARMv8 processors
Haoyuan Gui, Xiaoyu Zhang, Chong Zhang +2
As Convolutional Neural Networks (CNNs) gain prominence in deep learning, algorithms like Winograd Convolution have been introduced to enhance computational efficiency. However, ex…