ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2408.03505
  4. Cited By
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation

Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation

7 August 2024
Weiqi Feng
Yangrui Chen
Shaoyu Wang
Size Zheng
H. Lin
Minlan Yu
    MLLM
    AI4CE
ArXivPDFHTML

Papers citing "Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation"

24 / 24 papers shown
Title
Orchestrate Multimodal Data with Batch Post-Balancing to Accelerate Multimodal Large Language Model Training
Orchestrate Multimodal Data with Batch Post-Balancing to Accelerate Multimodal Large Language Model Training
Yijie Zheng
Bangjun Xiao
Lei Shi
Xiaoyang Li
Faming Wu
Tianyu Li
Xuefeng Xiao
Yanzhe Zhang
Yansen Wang
Shouda Liu
MLLM
MoE
114
1
0
31 Mar 2025
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines
Ye Tian
Zhen Jia
Ziyue Luo
Yida Wang
Chuan Wu
AI4CE
36
4
0
02 May 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000
  GPUs
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
Ziheng Jiang
Yanghua Peng
Yinmin Zhong
Qi Huang
Yangrui Chen
...
Zhe Li
X. Jia
Jia-jun Ye
Xin Jin
Xin Liu
LRM
92
113
0
23 Feb 2024
MM-LLMs: Recent Advances in MultiModal Large Language Models
MM-LLMs: Recent Advances in MultiModal Large Language Models
Duzhen Zhang
Yahan Yu
Jiahua Dong
Chenxing Li
Dan Su
Chenhui Chu
Dong Yu
OffRL
LRM
89
204
0
24 Jan 2024
MiniGPT-v2: large language model as a unified interface for
  vision-language multi-task learning
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Jun Chen
Deyao Zhu
Xiaoqian Shen
Xiang Li
Zechun Liu
Pengchuan Zhang
Raghuraman Krishnamoorthi
Vikas Chandra
Yunyang Xiong
Mohamed Elhoseiny
MLLM
225
464
0
14 Oct 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MH
ALM
290
11,828
0
18 Jul 2023
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel
Yanli Zhao
Andrew Gu
R. Varma
Liangchen Luo
Chien-chin Huang
...
Bernard Nguyen
Geeta Chauhan
Y. Hao
Ajit Mathews
Shen Li
FedML
MoE
86
341
0
21 Apr 2023
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large
  Language Models
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
Deyao Zhu
Jun Chen
Xiaoqian Shen
Xiang Li
Mohamed Elhoseiny
VLM
MLLM
142
2,024
0
20 Apr 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
144
601
0
10 Feb 2023
PipeFisher: Efficient Training of Large Language Models Using Pipelining
  and Fisher Information Matrices
PipeFisher: Efficient Training of Large Language Models Using Pipelining and Fisher Information Matrices
Kazuki Osawa
Shigang Li
Torsten Hoefler
AI4CE
50
25
0
25 Nov 2022
Reducing Activation Recomputation in Large Transformer Models
Reducing Activation Recomputation in Large Transformer Models
V. Korthikanti
Jared Casper
Sangkug Lym
Lawrence C. McAfee
M. Andersch
Mohammad Shoeybi
Bryan Catanzaro
AI4CE
119
266
0
10 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
371
3,535
0
29 Apr 2022
Bamboo: Making Preemptible Instances Resilient for Affordable Training
  of Large DNNs
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs
John Thorpe
Pengzhan Zhao
Jon Eyolfson
Yifan Qiao
Zhihao Jia
Minjia Zhang
Ravi Netravali
Guoqing Harry Xu
46
56
0
26 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
471
6,231
0
05 Apr 2022
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action
  Recognition
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition
Jiawei Chen
C. Ho
ViT
66
77
0
20 Aug 2021
Chimera: Efficiently Training Large-Scale Neural Networks with
  Bidirectional Pipelines
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines
Shigang Li
Torsten Hoefler
GNN
AI4CE
LRM
111
136
0
14 Jul 2021
Scaling Vision Transformers
Scaling Vision Transformers
Xiaohua Zhai
Alexander Kolesnikov
N. Houlsby
Lucas Beyer
ViT
131
1,085
0
08 Jun 2021
Efficient Large-Scale Language Model Training on GPU Clusters Using
  Megatron-LM
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM
Deepak Narayanan
Mohammad Shoeybi
Jared Casper
P. LeGresley
M. Patwary
...
Prethvi Kashinkunti
J. Bernauer
Bryan Catanzaro
Amar Phanishayee
Matei A. Zaharia
MoE
105
688
0
09 Apr 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
743
41,932
0
28 May 2020
Multimodal Machine Translation through Visuals and Speech
Multimodal Machine Translation through Visuals and Speech
U. Sulubacak
Ozan Caglayan
Stig-Arne Gronroos
Aku Rouhe
Desmond Elliott
Lucia Specia
Jörg Tiedemann
92
75
0
28 Nov 2019
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari
Jeff Rasley
Olatunji Ruwase
Yuxiong He
ALM
AI4CE
82
881
0
04 Oct 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
324
1,899
0
17 Sep 2019
OK-VQA: A Visual Question Answering Benchmark Requiring External
  Knowledge
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
Kenneth Marino
Mohammad Rastegari
Ali Farhadi
Roozbeh Mottaghi
82
1,072
0
31 May 2019
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
199
5,470
0
03 May 2015
1