Titopoulos, Vasileios; Alexandridis, Kosmas; Peltekis, Christodoulos; Nicopoulos, Chrysostomos; Dimitrakopoulos, Giorgos (IEEE, 2024-03)
Structured sparsity has been proposed as an efficient way to prune the complexity of modern Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. The acceleration of ML models - for ...