LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication

X Zeng, W Jiang, S Zhang - Advances in Neural Information …, 2025 - proceedings.neurips.cc
Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing,
driving the quest for improved computational efficiency. Accelerating MM encompasses …

Column subset selection and Nyström approximation via continuous optimization

A Mathur, S Moka, Z Botev - 2023 Winter Simulation …, 2023 - ieeexplore.ieee.org
We propose a continuous optimization algorithm for the Column Subset Selection Problem
(CSSP) and Nyström approximation. The CSSP and Nyström method construct low-rank …