Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is one of the key operators in many fields, showing dynamic features in terms of sparsity, element distribution, and data dependency. Previous ...
Abstract: Near-memory processing (NMP), which places lightweight processing units near the DRAM memory, has been actively studied to speed up the execution of memory-intensive applications by reducing ...
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 ...
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