Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation

30 May 2019

Papers citing "Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation"

9 / 9 papers shown

Title
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system Zeyuan Li Yangfan He Lewei He Jianhui Wang Tianyu Shi Bin Lei Yuchen Li Qiuwu Chen ALM 67 5 0 28 Oct 2024
Demystifying Map Space Exploration for NPUs Sheng-Chun Kao A. Parashar Po-An Tsai T. Krishna 38 11 0 07 Oct 2022
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations Jaehoon Koo Prasanna Balaprakash Michael Kruse Xingfu Wu P. Hovland Mary W. Hall 23 7 0 10 May 2021
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search Kartik Hegde Po-An Tsai Sitao Huang Vikas Chandra A. Parashar Christopher W. Fletcher 26 90 0 02 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 145 0 16 Feb 2021
Spatial Sharing of GPU for Autotuning DNN models Aditya Dhakal Junguk Cho Sameer G. Kulkarni K. Ramakrishnan P. Sharma 19 8 0 08 Aug 2020
ProTuner: Tuning Programs with Monte Carlo Tree Search Ameer Haj-Ali Hasan Genç Qijing Huang William S. Moses J. Wawrzynek Krste Asanović Ion Stoica 23 21 0 27 May 2020
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Amir Yazdanbakhsh H. Esmaeilzadeh MQ 55 68 0 05 Nov 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016