USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

13 May 2024

Papers citing "USP: A Unified Sequence Parallelism Approach for Long Context Generative AI"

5 / 5 papers shown

Title
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Yi Wang Xinhao Li Ziang Yan Yinan He Jiashuo Yu ... Kai Chen Wenhai Wang Yu Qiao Yali Wang Limin Wang 76 19 0 21 Jan 2025
Context Parallelism for Scalable Million-Token Inference Amy Yang Jingyi Yang Aya Ibrahim Xinfeng Xie Bangsheng Tang Grigory Sizov Jeremy Reizenstein Jongsoo Park Jianyu Huang MoE LRM 60 5 0 04 Nov 2024
Tutel: Adaptive Mixture-of-Experts at Scale Changho Hwang Wei Cui Yifan Xiong Ziyue Yang Ze Liu ... Joe Chau Peng Cheng Fan Yang Mao Yang Y. Xiong MoE 92 108 0 07 Jun 2022
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 160 413 0 18 Jan 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,817 0 17 Sep 2019