Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
Traditional Deep Neural Network (DNN) quantization methods using integer, fixed-point, or
floating-point data types struggle to capture diverse DNN parameter distributions at low …
floating-point data types struggle to capture diverse DNN parameter distributions at low …