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2301.08984
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SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
21 January 2023
Zhiqi Lin
Youshan Miao
Guodong Liu
Xiaoxiang Shi
Quanlu Zhang
Fan Yang
Saeed Maleki
Yi Zhu
Xu Cao
Cheng-Wu Li
Mao Yang
Lintao Zhang
Lidong Zhou
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Papers citing
"SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction"
4 / 4 papers shown
Title
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices
Beibei Zhang
Hongwei Zhu
Feng Gao
Zhihui Yang
Xiaoyang Sean Wang
14
1
0
07 Dec 2023
Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines
Shigang Li
Torsten Hoefler
GNN
AI4CE
LRM
77
130
0
14 Jul 2021
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
160
413
0
18 Jan 2021
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
1,815
0
17 Sep 2019
1