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cs.LG2025★ 2 cited
GPU Memory Usage Optimization for Backward Propagation in Deep Network Training
Ding-Yong Hong, Tzu-Hsien Tsai, Ning Wang +2
In modern Deep Learning, it has been a trend to design larger Deep Neural Networks (DNNs) for the execution of more complex tasks and better accuracy. On the other hand, Convolutio…
cs.LG2022
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors
Meena Arunachalam, Vrushabh Sanghavi, Yi A Yao +6
End-to-end (E2E) artificial intelligence (AI) pipelines are composed of several stages including data preprocessing, data ingestion, defining and training the model, hyperparameter…