IEEE

FPGA Implementation of High-Speed Accelerators for CNN Architecture Using 3D Systolic Array Architecture

Abstract: Convolution Neural Networks (CNNs) are pivotal in image processing. Prominent CNN models include SqueezeNet, MobileNet, Xception, VGG-16, and AlexNet. These models transform 2D data to 1D, ...
IEEE

Scalable Low-latency Systolic Arrays using Toroidal and Bi-Directional Dataflows

Abstract: Systolic arrays (SAs) for matrix multiplication are commonly used in machine learning (ML), wireless communication, and signal processing. Inherently offering high throughput with good data ...
GitHub

Neural Network Accelerator — Systolic Array in Verilog

Neural Network Accelerator — Systolic Array in Verilog A custom neural network accelerator built from scratch in Verilog, featuring a weight-stationary systolic array that performs matrix ...
GitHub

Systolic-Processor-Architecture /DPU_array_matrix_multiplication_3

DPU0: DPU_matrix_multiplication port map(A0,B0,CLK,clear,S03,S01,O0); DPU1: DPU_matrix_multiplication port map(A1,S01,CLK,clear,S14,S12,O1); DPU2: DPU_matrix ...