Abstract: Sparse matrix-vector multiplication (SpMV) is a critical kernel in scientific computing and high-performance applications, yet it remains challenging to optimize due to irregular memory ...
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 ...
Shrishty is a decade-old journalist covering a variety of beats between politics to pop culture, but movies are her first love, which led her to study Film and TV Development at UCLAx. She lives and ...
In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...
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