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eess.SY2023
DMC4ML: Data Movement Complexity for Machine Learning
Chen Ding, Christopher Kanan, Dylan McKellips +3
The greatest demand for today's computing is machine learning. This paper analyzes three machine learning algorithms: transformers, spatial convolution, and FFT. The analysis is no…
cs.LG2023
Scalable CP Decomposition for Tensor Learning using GPU Tensor Cores
Zeliang Zhang, Zhuo Liu, Susan Liang +4
CP decomposition is a powerful tool for data science, especially gene analysis, deep learning, and quantum computation. However, the application of tensor decomposition is largely…