2 papers
cs.LG2025
MACKO: Sparse Matrix-Vector Multiplication for Low Sparsity
Vladimír Macko, Vladimír Boža
Sparse Matrix-Vector Multiplication (SpMV) is a fundamental operation in the inference of sparse Large Language Models (LLMs). Because existing SpMV methods perform poorly under th…
cs.LG2024
Two Sparse Matrices are Better than One: Sparsifying Neural Networks with Double Sparse Factorization
Vladimír Boža, Vladimír Macko
Neural networks are often challenging to work with due to their large size and complexity. To address this, various methods aim to reduce model size by sparsifying or decomposing w…