15 citations · 62 across the 21 of their papers we have counts for
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cs.LG2023★ 3 cited
Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks
Ping Gong, Yuxin Ma, Cheng Li +2
In this paper, we primarily focus on understanding the data preprocessing pipeline for DNN Training in the public cloud. First, we run experiments to test the performance implicati…
cs.LG2022★ 8 cited
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang +8
The past several years have witnessed the success of transformer-based models, and their scale and application scenarios continue to grow aggressively. The current landscape of tra…