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. 2210.06352
  4. Cited By
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR

Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR

7 October 2022
Sami Alabed
Dominik Grewe
Juliana Franco
Bart Chrzaszcz
Tom Natan
Tamara Norman
Norman A. Rink
Dimitrios Vytiniotis
Michael Schaarschmidt
    MoE
ArXivPDFHTML

Papers citing "Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR"

4 / 4 papers shown
Title
PartIR: Composing SPMD Partitioning Strategies for Machine Learning
PartIR: Composing SPMD Partitioning Strategies for Machine Learning
Sami Alabed
Daniel Belov
Bart Chrzaszcz
Juliana Franco
Dominik Grewe
...
Michael Schaarschmidt
Timur Sitdikov
Agnieszka Swietlik
Dimitrios Vytiniotis
Joel Wee
28
3
0
20 Jan 2024
ZeRO-Offload: Democratizing Billion-Scale Model Training
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
177
414
0
18 Jan 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
246
4,489
0
23 Jan 2020
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
1,821
0
17 Sep 2019
1