ML Anthology

Rajbhandari, Samyam

5 publications

ICLR 2024 ZeRO++: Extremely Efficient Collective Communication for Large Model Training Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
ICML 2022 DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale Samyam Rajbhandari, Conglong Li, Zhewei Yao, Minjia Zhang, Reza Yazdani Aminabadi, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He
ICML 2021 1-Bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
NeurIPS 2021 SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training Using Gradient Similarity Measurement Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
ICLR 2018 Learning Intrinsic Sparse Structures Within Long Short-Term Memory Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li