An Algorithm–Hardware Co-Optimized Framework for Accelerating N:M Sparse Transformers
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DOI: 10.1109/tvlsi.2022.3197282
Abstract: The Transformer has been an indispensable staple in deep learning. However, for real-life applications, it is very challenging to deploy efficient Transformers due to the immense parameters and operations of models. To relieve this burden,… read more here.
Keywords: inline formula; sparse transformers; algorithm hardware; tex math ... See more keywords