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Efficient Parallelization Layouts for Large-Scale Distributed Model
  Training

Efficient Parallelization Layouts for Large-Scale Distributed Model Training

9 November 2023
Johannes Hagemann
Samuel Weinbach
Konstantin Dobler
Maximilian Schall
Gerard de Melo
    LRM
ArXivPDFHTML

Papers citing "Efficient Parallelization Layouts for Large-Scale Distributed Model Training"

3 / 3 papers shown
Title
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
Jared Fernandez
Luca Wehrstedt
Leonid Shamis
Mostafa Elhoushi
Kalyan Saladi
Yonatan Bisk
Emma Strubell
Jacob Kahn
148
3
0
20 Nov 2024
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
245
695
0
27 Aug 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
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