An Asynchronous Parallel Data Loading Optimization Algorithm for Deep Learning Applications

This study aims to address the concern of inefficient data loading, which often leads to computationally inefficient deep learning workflows and becomes a bottleneck for scalability, especially under resource constraints. An asynchronous parallel data loading optimization algorithm is proposed that ... View More