Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array

26 May 2022

Papers citing "Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array"

8 / 8 papers shown

Title
Transferable Graph Optimizers for ML Compilers Yanqi Zhou Sudip Roy AmirAli Abdolrashidi Daniel Wong Peter C. Ma ... Mangpo Phitchaya Phothilimtha Shen Wang Anna Goldie Azalia Mirhoseini James Laudon GNN 47 54 0 21 Oct 2020
Learned Hardware/Software Co-Design of Neural Accelerators Zhan Shi Chirag Sakhuja Milad Hashemi Kevin Swersky Calvin Lin 49 15 0 05 Oct 2020
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms Shengyi Huang Santiago Ontañón 59 316 0 25 Jun 2020
Chip Placement with Deep Reinforcement Learning Azalia Mirhoseini Anna Goldie M. Yazgan J. Jiang Ebrahim M. Songhori ... Quoc V. Le James Laudon Richard Ho Roger Carpenter J. Dean OffRL 55 217 0 22 Apr 2020
GDP: Generalized Device Placement for Dataflow Graphs Yanqi Zhou Sudip Roy AmirAli Abdolrashidi Daniel Wong Peter C. Ma ... Ming Zhong Hanxiao Liu Anna Goldie Azalia Mirhoseini James Laudon GNN 50 38 0 28 Sep 2019
Dual Attention Network for Scene Segmentation J. Fu Qingbin Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu SSeg 317 5,107 0 09 Sep 2018
Device Placement Optimization with Reinforcement Learning Azalia Mirhoseini Hieu H. Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio J. Dean 85 440 0 13 Jun 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 459 5,372 0 05 Nov 2016