2 papers
cs.AR2024
Evaluation of Posits for Spectral Analysis Using a Software-Defined Dataflow Architecture
Sameer Deshmukh, Daniel Khankin, William Killian +2
Spectral analysis plays an important role in detection of damage in structures and deep learning. The choice of a floating-point format plays a crucial role in determining the accu…
cs.AR2024
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong +2
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 p…