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2112.02958
Cited By
Automap: Towards Ergonomic Automated Parallelism for ML Models
6 December 2021
Michael Schaarschmidt
Dominik Grewe
Dimitrios Vytiniotis
Adam Paszke
G. Schmid
Tamara Norman
James Molloy
Jonathan Godwin
Norman A. Rink
Vinod Nair
Dan Belov
MoE
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Papers citing
"Automap: Towards Ergonomic Automated Parallelism for ML Models"
8 / 8 papers shown
Title
UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming
Hao Lin
Ke Wu
Jie Li
Jun Yu Li
Wu-Jun Li
39
1
0
31 Jul 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
Edgar Liberis
Nicholas D. Lane
23
3
0
30 Nov 2022
Respecting causality is all you need for training physics-informed neural networks
Sizhuang He
Shyam Sankaran
P. Perdikaris
PINN
CML
AI4CE
46
199
0
14 Mar 2022
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
Equality Saturation for Tensor Graph Superoptimization
Yichen Yang
Mangpo Phitchaya Phothilimtha
Y. Wang
Max Willsey
Sudip Roy
Jacques Pienaar
38
80
0
05 Jan 2021
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
264
4,489
0
23 Jan 2020
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
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
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