Primary Algorithm : Algorithmically, Sparse-Sparse multiplication problems manifests itself in three possible forms:(a) Multiplication of a sparse matrix with a sparse diagonal, sparse block-diagonal, ...

This project is a hardware matrix multiplication accelerator that computes C = A × B for N×N matrices (currently only tested for NxN matrices, however the design is parameterized and with small ...

Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical. Moreover, sparse matrix multiplication has become a fundamental ...

Abstract: Sparse-Dense Matrix Multiplication (SpMM) plays a key role in fields like machine learning, scientific simulations, and graph analytics. However, compared to Sparse Matrix-Vector ...

“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 ...