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. 2003.11666
  4. Cited By
Pipelined Backpropagation at Scale: Training Large Models without
  Batches

Pipelined Backpropagation at Scale: Training Large Models without Batches

25 March 2020
Atli Kosson
Vitaliy Chiley
Abhinav Venigalla
Joel Hestness
Urs Koster
ArXivPDFHTML

Papers citing "Pipelined Backpropagation at Scale: Training Large Models without Batches"

4 / 4 papers shown
Title
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware
  Communication Compression
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song
Jinkyu Yim
Jaewon Jung
Hongsun Jang
H. Kim
Youngsok Kim
Jinho Lee
GNN
14
25
0
24 Jan 2023
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
Vitaliy Chiley
Vithursan Thangarasa
Abhay Gupta
Anshul Samar
Joel Hestness
D. DeCoste
40
8
0
28 Jun 2022
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
M. Shoeybi
Jared Casper
P. LeGresley
M. Patwary
...
Prethvi Kashinkunti
J. Bernauer
Bryan Catanzaro
Amar Phanishayee
Matei A. Zaharia
MoE
11
643
0
09 Apr 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
1