Equality Saturation for Tensor Graph Superoptimization

v1v2 (latest)

Equality Saturation for Tensor Graph Superoptimization

5 January 2021

Mangpo Phitchaya Phothilimtha

Jacques Pienaar

ArXiv (abs)PDF HTML

Papers citing "Equality Saturation for Tensor Graph Superoptimization"

19 / 19 papers shown

Title
Compiler Optimization via LLM Reasoning for Efficient Model Serving Sujun Tang Christopher Priebe R. Mahapatra Lianhui Qin H. Esmaeilzadeh LRM 55 0 0 02 Jun 2025
FedHQ: Hybrid Runtime Quantization for Federated Learning Zihao Zheng Ziyao Wang Xiuping Cui Maoliang Li Jiayu Chen Liang Ang Li Xiang Chen FedML MQ 68 0 0 17 May 2025
CoolerSpace: A Language for Physically Correct and Computationally Efficient Color Programming Ethan Chen Jiwon Chang Yuhao Zhu 33 0 0 04 Sep 2024
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization Yangjie Zhou Honglin Zhu Qian Qiu Weihao Cui Zihan Liu ... Jintao Meng Haidong Lan Jingwen Leng Wenxi Zhu Minwen Deng 66 0 0 02 Sep 2024
Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and Beyond George-Octavian Barbulescu Taiyi Wang Zak Singh Eiko Yoneki 89 2 0 19 Jun 2024
Mirage: A Multi-Level Superoptimizer for Tensor Programs Mengdi Wu Xinhao Cheng Shengyu Liu Chunan Shi Jianan Ji Kit Ao Praveen Velliengiri Xupeng Miao Oded Padon Zhihao Jia AI4CE 82 1 0 09 May 2024
ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code Kazuaki Matsumura Simon Garcia De Gonzalo Antonio J. Peña 65 1 0 22 Jun 2023
X-RLflow: Graph Reinforcement Learning for Neural Network Subgraphs Transformation Guoliang He Sean Parker Eiko Yoneki 54 4 0 28 Apr 2023
Canvas: End-to-End Kernel Architecture Search in Neural Networks Chenggang Zhao Genghan Zhang Mingyu Gao 49 1 0 16 Apr 2023
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder Guoliang He Zak Singh Eiko Yoneki 91 5 0 08 Mar 2023
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization Zhiying Xu H. Peng Wei Wang GNN 76 3 0 02 Dec 2022
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations Zhiying Xu Jiafan Xu H. Peng Wei Wang Xiaoliang Wang ... Haipeng Dai Yixu Xu Hao Cheng Kun Wang Guihai Chen 72 0 0 22 Oct 2022
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs Yaoyao Ding Cody Hao Yu Bojian Zheng Yizhi Liu Yida Wang Gennady Pekhimenko 71 32 0 18 Oct 2022
Neural Architecture Search using Property Guided Synthesis Charles Jin P. Phothilimthana Sudip Roy 72 6 0 08 May 2022
A Survey of Multi-Tenant Deep Learning Inference on GPU Fuxun Yu Di Wang Longfei Shangguan Minjia Zhang Chenchen Liu Xiang Chen BDL AI4CE 69 32 0 17 Mar 2022
Automap: Towards Ergonomic Automated Parallelism for ML Models Michael Schaarschmidt Dominik Grewe Dimitrios Vytiniotis Adam Paszke G. Schmid ... James Molloy Jonathan Godwin Norman A. Rink Vinod Nair Dan Belov MoE 68 16 0 06 Dec 2021
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU Fuxun Yu Shawn Bray Di Wang Longfei Shangguan Xulong Tang Chenchen Liu Xiang Chen 44 38 0 28 Nov 2021
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement Byungsoo Jeon Sunghyun Park Peiyuan Liao Sheng Xu Tianqi Chen Zhihao Jia VLM 69 5 0 01 Nov 2021
A Data-Centric Optimization Framework for Machine Learning Oliver Rausch Tal Ben-Nun Nikoli Dryden Andrei Ivanov Shigang Li Torsten Hoefler AI4CE 45 16 0 20 Oct 2021