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EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture (🔥📣New Paper & Project🔥📣! )
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CHEF: A Framework for Deploying Heterogeneous Models on Clusters with Heterogeneous FPGAs (🔥📣New Paper & Project🔥📣! )
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Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks (🔥Best Paper)
With the recent advancement of multilayer convolutional neural networks (CNN) and fully connected networks (FCN), deep learning has …
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