Multiplication-Free Lookup-Based CNN Accelerator using Residual Vector Quantization and Its FPGA Implementation
In this paper, a table lookup-based computing technique is proposed to perform
convolutional neural network (CNN) inference without multiplication, and its FPGA …
convolutional neural network (CNN) inference without multiplication, and its FPGA …
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
The emergence of neural network capabilities invariably leads to a significant surge in
computational demands due to expanding model sizes and increased computational …
computational demands due to expanding model sizes and increased computational …
Fast, Scalable, Energy-Efficient Non-element-wise Matrix Multiplication on FPGA
Modern Neural Network (NN) architectures heavily rely on vast numbers of multiply-
accumulate arithmetic operations, constituting the predominant computational cost …
accumulate arithmetic operations, constituting the predominant computational cost …