most citedGPU Memory Usage Optimization for Backward Propagation in Deep Network Training

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2026

FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference

Fen-Yu Hsieh, Yun-Chang Teng, Ding-Yong Hong +1

Large language models (LLMs) have demonstrated remarkable performance across a wide range of language processing tasks. However, this success comes at the cost of substantial compu…

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…