Primary Algorithm : Algorithmically, Sparse-Sparse multiplication problems manifests itself in three possible forms:(a ...
In this video from PASC17, Alfio Lazzaro (University of Zurich, Switzerland) presents: Increasing Efficiency of Sparse Matrix ...
Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the ...
This project is a hardware matrix multiplication accelerator that computes C = A × B for N×N matrices (currently only tested ...
Abstract: With the advancement of Artificial Intelligence (AI), the reliability of AI accelerators has become increasingly critical.
A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models ...
Sparse matrix computations are pivotal to advancing high-performance scientific applications, particularly as modern numerical ...
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