Sparsity is becoming arguably the most critical dimension to explore for efficiency and scalability as deep learning models grow significantly larger. Particularly, pruning is a common method to ...

This repository presents the full design and implementation of an 8×8 systolic array accelerator targeting high-throughput matrix multiplication. It covers both the Register-Transfer Level (RTL) ...

Matrix Chain Multiplication is one of the optimization problems widely used in graph algorithms, signal processing and network industry. The Matrix Chain multiplication is the process of multiplying ...