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. 2006.02924
  4. Cited By
Scaling Distributed Training with Adaptive Summation

Scaling Distributed Training with Adaptive Summation

4 June 2020
Saeed Maleki
Madan Musuvathi
Todd Mytkowicz
Olli Saarikivi
Tianju Xu
Vadim Eksarevskiy
Jaliya Ekanayake
Emad Barsoum
ArXivPDFHTML

Papers citing "Scaling Distributed Training with Adaptive Summation"

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
8
25
0
24 Jan 2023
BFTrainer: Low-Cost Training of Neural Networks on Unfillable
  Supercomputer Nodes
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes
Zhengchun Liu
R. Kettimuthu
M. Papka
Ian T. Foster
21
3
0
22 Jun 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
243
1,817
0
17 Sep 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
1