Deep Learning Inference Service at Microsoft. - Jonathan Soifer; Jason Li; Mingqin Li; Jeffrey Zhu; Yingnan Li; Yuxiong He; Elton Zheng; Adi Oltean; Maya Mosyak; Chris Barnes; Thomas Liu; Junhua Wang (OpML, 2019)

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. - Minjia Zhang; Samyam Rajbhandari; Wenhan Wang; Elton Zheng; Olatunji Ruwase; Jeff Rasley; Jason Li; Junhua Wang; Yuxiong He (OpML, 2019)

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. - Reza Yazdani Aminabadi; Samyam Rajbhandari; Ammar Ahmad Awan; Cheng Li 001; Du Li; Elton Zheng; Olatunji Ruwase; Shaden Smith; Minjia Zhang; Jeff Rasley; Yuxiong He (SC, 2022)

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model. - Shaden Smith; Mostofa Patwary; Brandon Norick; Patrick LeGresley; Samyam Rajbhandari; Jared Casper; Zhun Liu; Shrimai Prabhumoye; George Zerveas; Vijay Korthikanti; Elton Zheng; Rewon Child; et al. (CoRR, 2022)

DySR: Adaptive Super-Resolution via Algorithm and System Co-design. - Syed Zawad; Cheng Li 001; Zhewei Yao; Elton Zheng; Yuxiong He; Feng Yan 001 (ICLR, 2023)

ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training Quantization Framework for W8A8 Transformers. - Zhewei Yao; Reza Yazdani Aminabadi; Stephen Youn; Xiaoxia Wu; Elton Zheng; Yuxiong He (CoRR, 2023)