A Systematic Survey of General Sparse Matrix-Matrix Multiplication

Understand

General Sparse Matrix-Matrix Multiplication (SpGEMM) has attracted much attention from researchers in graph analyzing, scientific computing, and deep learning.

• Many optimization techniques have been developed for different applications and computing architectures over the past decades.
• The objective of this paper is to provide a structured and comprehensive overview of the researches on SpGEMM.
• Existing researches have been grouped into different categories based on target architectures and design choices.