IEEE

Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization

Abstract: Matrix-variable optimization is a generalization of vector-variable optimization and has been found to have many important applications. To reduce computation time and storage requirement, ...
IEEE

High Rate Matrix Transpose for AI and other applications using HBM FPGA

Abstract: Matrix transpose operations (sometime called corner turns) are used in many applications, such as neural network processing, pulse-Doppler processing, back projection algorithm and more.