Accepted paper at ISSCC 2023

Our paper "A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management" has been accepted at ISSCC 2023. The work was a collaboration with Harvard University.