NeSSA: Near-storage data selection for accelerated machine learning training
Large-scale machine learning (ML) models rely on extremely large datasets to learn their
exponentially growing number of parameters. While these models achieve unprecedented …
exponentially growing number of parameters. While these models achieve unprecedented …
[PDF][PDF] NeSSA: Near-Storage Data Selection for Accelerated Machine Learning Training
N Prakriya, Y Yang, B Mirzasoleiman, CJ Hsieh… - 2023 - baharanm.github.io
Large-scale machine learning (ML) models rely on extremely large datasets to learn their
exponentially growing number of parameters. While these models achieve unprecedented …
exponentially growing number of parameters. While these models achieve unprecedented …