“Several manufacturers have already started to commercialize near-bank Processing-In-Memory (PIM) architectures. Near-bank PIM architectures place simple cores close to DRAM banks and can yield ...

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...

This course will introduce students to iterative methods for solving sparse linear systems and how they are efficiently implemented on the GPU. Students will gain intuition for the performance ...

Researchers have released qmatmul, a Python package whose algorithm halves the floating-point multiplications needed for ...