no code implementations • 4 Dec 2023 • Tianle Zhong, Jiechen Zhao, Xindi Guo, Qiang Su, Geoffrey Fox
However, loading shuffled data for large datasets incurs significant overhead in the deep learning pipeline and severely impacts the end-to-end training throughput.
1 code implementation • 2 Nov 2023 • Cheng Luo, Tianle Zhong, Geoffrey Fox
In the evolving landscape of neural network models, one prominent challenge stand out: the significant memory overheads associated with training expansive models.