A Mixed-Precision CNN–LSTM Accelerator Featuring Long-Kernel Memory Reuse and Dynamic Quantization for Sleep Staging
This letter presents a mixed-precision CNN–LSTM accelerator for EEG-based sleep staging. To efficiently execute long temporal convolutions, a serpentine dataflow propagates activations between neighboring processing elements (PEs), reducing memory accesses by <inline-formula> <tex-math notation="LaTeX">$6.2\times $ </t...