Abstract: Deep learning is applied to various tasks, such as image recognition and self-driving. Training acceleration is crucial for the further development of deep learning, as efficient training ...
Abstract: Transformer-based neural networks have achieved remarkable performance. Designing energy-efficient and high-speed accelerators for the attention mechanism, which dominates the energy and ...
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