Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads

8 July 2020

Zhen Zheng

Papers citing "Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads"

3 / 3 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 2 0 31 Jul 2023
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models Shiqing Fan Yi Rong Chen Meng Zongyan Cao Siyu Wang ... Jun Yang Lixue Xia Lansong Diao Xiaoyong Liu Wei Lin 21 233 0 02 Jul 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Mohammad Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,836 0 17 Sep 2019