LightSeq2: Accelerated Training for Transformer-based Models on GPUs

12 October 2021

Lei Li

Papers citing "LightSeq2: Accelerated Training for Transformer-based Models on GPUs"

22 / 22 papers shown

Title
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation Zhanglin Wu Daimeng Wei Xiaoyu Chen Hengchao Shang Jiaxin Guo Zongyao Li Yuanchang Luo Jinlong Yang Zhiqiang Rao Hao Yang 2 0 0 19 May 2025
Achieving Peak Performance for Large Language Models: A Systematic Review Z. R. K. Rostam Sándor Szénási Gábor Kertész 40 3 0 07 Sep 2024
Hardware Acceleration of LLMs: A comprehensive survey and comparison Nikoletta Koilia C. Kachris 55 5 0 05 Sep 2024
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training Jiahao Fang Huizheng Wang Qize Yang Dehao Kong Xu Dai Jinyi Deng Yang Hu Shouyi Yin 30 1 0 06 Jun 2024
Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training Zeliang Zhang Jinyang Jiang Zhuo Liu Susan Liang Yijie Peng Chenliang Xu 29 0 0 18 Mar 2024
A Survey on Hardware Accelerators for Large Language Models C. Kachris 33 14 0 18 Jan 2024
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models Wenqi Jiang Marco Zeller R. Waleffe Torsten Hoefler Gustavo Alonso 54 16 0 15 Oct 2023
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors Chengming Zhang Baixi Sun Xiaodong Yu Zhen Xie Weijian Zheng K. Iskra Pete Beckman Dingwen Tao 25 4 0 29 Sep 2023
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry Yangjun Wu Chu Guo Yi Fan P. Zhou Honghui Shang GNN 27 15 0 29 Jun 2023
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation Fei Huang Pei Ke Minlie Huang AI4CE 35 8 0 24 Apr 2023
Life Regression based Patch Slimming for Vision Transformers Jiawei Chen Lin Chen Jianguo Yang Tianqi Shi Lechao Cheng Zunlei Feng Min-Gyoo Song ViT 36 4 0 11 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
The VolcTrans System for WMT22 Multilingual Machine Translation Task Xian Qian Kai Hu Jiaqiang Wang Yifeng Liu Xingyuan Pan Jun Cao Mingxuan Wang 26 1 0 20 Oct 2022
PARAGEN : A Parallel Generation Toolkit Jiangtao Feng Yi Zhou Jun Zhang Xian Qian Liwei Wu Zhexi Zhang Yanming Liu Mingxuan Wang Lei Li Hao Zhou VLM 30 3 0 07 Oct 2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs Yujia Zhai Chengquan Jiang Leyuan Wang Xiaoying Jia Shang Zhang Zizhong Chen Xin Liu Yibo Zhu 62 48 0 06 Oct 2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning Jiaxin Gao Wenbo Hu Dongxiao Zhang Yuntian Chen AI4TS AI4CE 39 2 0 05 Oct 2022
Boosting Distributed Training Performance of the Unpadded BERT Model Jinle Zeng Min Li Zhihua Wu Jiaqi Liu Yuang Liu Dianhai Yu Yanjun Ma 19 10 0 17 Aug 2022
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle Guoxia Wang Xiaomin Fang Zhihua Wu Yiqun Liu Yang Xue Yingfei Xiang Dianhai Yu Fan Wang Yanjun Ma 36 31 0 12 Jul 2022
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours Shenggan Cheng Xuanlei Zhao Guangyang Lu Bin-Rui Li Zhongming Yu Tian Zheng R. Wu Xiwen Zhang Jian Peng Yang You AI4CE 27 30 0 02 Mar 2022
Benchmark Assessment for DeepSpeed Optimization Library G. Liang I. Alsmadi 32 3 0 12 Feb 2022
Learning Light-Weight Translation Models from Deep Transformer Bei Li Ziyang Wang Hui Liu Quan Du Tong Xiao Chunliang Zhang Jingbo Zhu VLM 120 40 0 27 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018