IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis
via Reinforcement Learning

IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning

16 February 2021

Papers citing "IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning"

19 / 19 papers shown

Title
LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning Neha Prakriya Zijian Ding Yizhou Sun Jason Cong 33 0 0 29 Apr 2025
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li Ding Wang Zijian Ding Atefeh Sohrabizadeh Zongyue Qin Jason Cong Yizhou Sun 40 3 0 25 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 48 1 0 09 Oct 2024
Learning to Compare Hardware Designs for High-Level Synthesis Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Rongjian Liang Weikai Li Ding Wang Haoxing Ren Yizhou Sun Jason Cong 40 1 0 20 Sep 2024
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond Stefan Abi-Karam Rishov Sarkar Allison Seigler Sean Lowe Zhigang Wei Hanqiu Chen Nanditha Rao L. John Aman Arora Cong Hao 50 3 0 01 May 2024
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control Haoyu Wang Xiaoyu Tan Xihe Qiu Chao Qu 48 2 0 22 Mar 2024
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation Yingjie Li Anthony Agnesina Yanqing Zhang Haoxing Ren Cunxi Yu 29 1 0 19 Jan 2024
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs Yingjie Li Mingju Liu Alan Mishchenko Cunxi Yu 37 6 0 09 Nov 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 32 16 0 01 Dec 2022
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 49 22 0 29 Nov 2022
Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration Masood S. Mortazavi Tiancheng Qin Ning Yan 25 2 0 03 Nov 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 34 30 0 13 Jul 2022
A Survey and Perspective on Artificial Intelligence for Security-Aware Electronic Design Automation D. Koblah R. Acharya Daniel Capecci Olivia P. Dizon-Paradis Shahin Tajik F. Ganji D. Woodard Domenic Forte 25 12 0 19 Apr 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models Nan Wu Jiwon Lee Yuan Xie Cong Hao 38 18 0 20 Jan 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 28 53 0 18 Jan 2022
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks Atefeh Sohrabizadeh Yunsheng Bai Yizhou Sun Jason Cong GNN 20 7 0 17 Nov 2021
Pyxis: An Open-Source Performance Dataset of Sparse Accelerators Linghao Song Yuze Chi Jason Cong 21 0 0 08 Oct 2021
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 30 3 0 13 Sep 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 20 145 0 16 Feb 2021