Shravan Narayan Sunil

Block Floating Point Based Matrix Multiplication Accelerator with Hardware Efficient Exponent Alignment

Transformer models are popular in their usage for a wide range of applications. However they are computationally expensive in comparison to other deep learning models such as Convolutional Neural Networks (CNNs) and benefit g reatly in performance from hardware acceleration and reduced precision arithmetic. This paper...