Ars Technica

Sparse Matrix Multiplication

Ah. . .matrix multiplication. Checking for zeroes will speed you up quite a bit if the matrix is sparse enough. Testing for 0s requires getting two values from memory and two comparisons (or one, with ...
Nature

Sparse Matrix Computation and Optimization Techniques

Sparse matrices underpin a vast range of scientific and engineering applications, from finite element analysis and computational fluid dynamics to graph processing and machine learning. By encoding ...
Semiconductor Engineering

SparseP: Towards Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Systems

“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 ...
Design-Reuse

A custom RISC-V vector instruction to accelerate structured-sparse matrix multiplications

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 ...