DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for
Layer Fusion in DNN Accelerators

DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators

26 January 2022

Papers citing "DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators"

17 / 17 papers shown

Title
Transfer learning with causal counterfactual reasoning in Decision Transformers Ayman Boustati Hana Chockler Daniel C. McNamee CML OffRL LRM 40 9 0 27 Oct 2021
Shaking the foundations: delusions in sequence models for interaction and control Pedro A. Ortega M. Kunesch Grégoire Delétang Tim Genewein Jordi Grau-Moya ... Yutian Chen Scott E. Reed Marcus Hutter Nando de Freitas Shane Legg 25 64 0 20 Oct 2021
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion Wei Niu Jiexiong Guan Yanzhi Wang G. Agrawal Bin Ren AI4CE 35 148 0 30 Aug 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 65 1,608 0 02 Jun 2021
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 28 109 0 05 May 2021
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation Qingcheng Xiao Wenlei Bao Bingzhe Wu Pengcheng Xu Xuehai Qian Yun Liang 67 67 0 04 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 31 93 0 02 Mar 2021
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 35 95 0 04 Sep 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 58 133 0 30 Jun 2020
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 65 2,995 0 31 Jul 2018
Learning to Optimize Tensor Programs Tianqi Chen Lianmin Zheng Eddie Q. Yan Ziheng Jiang T. Moreau Luis Ceze Carlos Guestrin Arvind Krishnamurthy 49 396 0 21 May 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 98 19,124 0 13 Jan 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 223 129,831 0 12 Jun 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 138 8,805 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 786 192,638 0 10 Dec 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 113 13,174 0 09 Sep 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 499 99,991 0 04 Sep 2014