Learning to Optimize Tensor Programs

21 May 2018

Papers citing "Learning to Optimize Tensor Programs"

45 / 145 papers shown

Title
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu Yubo Gao P. Golikov Gennady Pekhimenko 3DH 36 67 0 31 Jan 2021
UNIT: Unifying Tensorized Instruction Compilation Jian Weng Animesh Jain Jie Wang Leyuan Wang Yida Wang Tony Nowatzki 199 30 0 21 Jan 2021
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices Xin Liu Yuang Li Josh Fromm Yuntao wang Ziheng Jiang Alex Mariakakis Shwetak N. Patel SupR 42 10 0 20 Jan 2021
MLGO: a Machine Learning Guided Compiler Optimizations Framework Mircea Trofin Yundi Qian E. Brevdo Zinan Lin K. Choromanski Didong Li 44 62 0 13 Jan 2021
Self-Adaptive Reconfigurable Arrays (SARA): Using ML to Assist Scaling GEMM Acceleration A. Samajdar Michael Pellauer T. Krishna 17 4 0 12 Jan 2021
Value Function Based Performance Optimization of Deep Learning Workloads Benoit Steiner Chris Cummins Horace He Hugh Leather 6 2 0 30 Nov 2020
Cortex: A Compiler for Recursive Deep Learning Models Pratik Fegade Tianqi Chen Phillip B. Gibbons T. Mowry VLM 8 28 0 02 Nov 2020
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 10 53 0 21 Oct 2020
Learned Hardware/Software Co-Design of Neural Accelerators Zhan Shi Chirag Sakhuja Milad Hashemi Kevin Swersky Calvin Lin 19 15 0 05 Oct 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 28 95 0 04 Sep 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng-Wei Zhang Zhiru Zhang Yida Wang GNN 45 80 0 26 Aug 2020
Woodpecker-DL: Accelerating Deep Neural Networks via Hardware-Aware Multifaceted Optimizations Yongchao Liu Yue Jin Yongqi Chen Teng Teng Hang Ou Rui Zhao Yao Zhang 16 1 0 11 Aug 2020
Spatial Sharing of GPU for Autotuning DNN models Aditya Dhakal Junguk Cho Sameer G. Kulkarni K. Ramakrishnan P. Sharma 21 8 0 08 Aug 2020
A Learned Performance Model for Tensor Processing Units Samuel J. Kaufman P. Phothilimthana Yanqi Zhou Charith Mendis Sudip Roy Amit Sabne Mike Burrows 26 8 0 03 Aug 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 87 478 0 20 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 32 11 0 14 Jul 2020
SESAME: Software defined Enclaves to Secure Inference Accelerators with Multi-tenant Execution Sarbartha Banerjee Prakash Ramrakhyani Shijia Wei Mohit Tiwari 19 9 0 14 Jul 2020
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach Animesh Jain Shoubhik Bhattacharya Masahiro Masuda Vin Sharma Yida Wang MQ 27 33 0 18 Jun 2020
Optimizing Grouped Convolutions on Edge Devices Perry Gibson José Cano Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey 21 25 0 17 Jun 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 44 384 0 11 Jun 2020
OpEvo: An Evolutionary Method for Tensor Operator Optimization Xiaotian Gao C. Wei Lintao Zhang Mao Yang 19 3 0 10 Jun 2020
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference Haichen Shen Jared Roesch Zhi Chen Wei Chen Yong Wu Mu Li Vin Sharma Zachary Tatlock Yida Wang 28 57 0 04 Jun 2020
PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives Sanket Tavarageri A. Heinecke Sasikanth Avancha Gagandeep Goyal Ramakrishna Upadrasta Bharat Kaul 6 12 0 02 Jun 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 36 21 0 27 May 2020
Learning, transferring, and recommending performance knowledge with Monte Carlo tree search and neural networks Don M. Dini 16 0 0 06 May 2020
Enhancing network forensics with particle swarm and deep learning: The particle deep framework Nickolaos Koroniotis Nour Moustafa 16 34 0 02 May 2020
Agile Autotuning of a Transprecision Tensor Accelerator Overlay for TVM Compiler Stack D. Diamantopoulos Burkhard Ringlein M. Purandare Gagandeep Singh C. Hagleitner 14 7 0 20 Apr 2020
Learning to Accelerate Decomposition for Multi-Directional 3D Printing Chenming Wu Yong Liu Charlie C. L. Wang 14 6 0 17 Mar 2020
PolyScientist: Automatic Loop Transformations Combined with Microkernels for Optimization of Deep Learning Primitives Sanket Tavarageri A. Heinecke Sasikanth Avancha Gagandeep Goyal Ramakrishna Upadrasta Bharat Kaul 14 0 0 06 Feb 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 61 80 0 23 Jan 2020
Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition Bing Xu Andrew Tulloch Yunpeng Chen Xiaomeng Yang Lin Qiao 21 4 0 19 Nov 2019
Compiler-Level Matrix Multiplication Optimization for Deep Learning Huaqing Zhang Xiaolin Cheng H. Zang Dae Hoon Park 6 8 0 23 Sep 2019
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs Leyuan Wang Zhi Chen Yizhi Liu Yao Wang Lianmin Zheng Mu Li Yida Wang 39 30 0 03 Jul 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation Byung Hoon Ahn Prannoy Pilligundla H. Esmaeilzadeh 29 20 0 30 May 2019
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs Aditya Sanjay Paliwal Felix Gimeno Vinod Nair Yujia Li Miles Lubin Pushmeet Kohli Oriol Vinyals OffRL GNN 22 65 0 07 May 2019
Simulating Execution Time of Tensor Programs using Graph Neural Networks Jakub M. Tomczak Romain Lepert Auke Wiggers GNN 16 5 0 26 Apr 2019
A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling James D Stevens Andreas Klöckner 11 2 0 21 Apr 2019
Stripe: Tensor Compilation via the Nested Polyhedral Model Tim Zerrell J. Bruestle 15 32 0 14 Mar 2019
Automating Generation of Low Precision Deep Learning Operators M. Cowan T. Moreau Tianqi Chen Luis Ceze MQ 39 13 0 25 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
ISA Mapper: A Compute and Hardware Agnostic Deep Learning Compiler Matthew Sotoudeh Anand Venkat Michael J. Anderson E. Georganas A. Heinecke Jason Knight 14 9 0 12 Oct 2018
Learning to Perform Local Rewriting for Combinatorial Optimization Xinyun Chen Yuandong Tian NAI OffRL 48 338 0 30 Sep 2018
Optimizing CNN Model Inference on CPUs Yizhi Liu Yao Wang Ruofei Yu Mu Li Vin Sharma Yida Wang 12 152 0 07 Sep 2018
A Hardware-Software Blueprint for Flexible Deep Learning Specialization T. Moreau Tianqi Chen Luis Vega Jared Roesch Eddie Q. Yan ... Josh Fromm Ziheng Jiang Luis Ceze Carlos Guestrin Arvind Krishnamurthy 32 70 0 11 Jul 2018
A model-driven approach for a new generation of adaptive libraries Marco Cianfriglia Damiano Perri C. Nugteren Anton Lokhmotov G. Fursin 29 14 0 19 Jun 2018