High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing

18 January 2022

Papers citing "High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing"

22 / 22 papers shown

Title
LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning Neha Prakriya Zijian Ding Yizhou Sun Jason Cong 30 0 0 29 Apr 2025
Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL Anindita Chattopadhyay Vijay Kumar Sutrakar 37 0 0 22 Feb 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 94 0 0 10 Dec 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 37 0 0 04 Nov 2024
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis Weikai Li Ding Wang Zijian Ding Atefeh Sohrabizadeh Zongyue Qin Jason Cong Yizhou Sun 35 2 0 25 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 45 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 35 0 0 20 Sep 2024
Efficient Task Transfer for HLS DSE Zijian Ding Atefeh Sohrabizadeh Weikai Li Zongyue Qin Yizhou Sun Jason Cong 31 3 0 16 Aug 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 31 2 0 30 Jul 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis Zongyue Qin Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Ziniu Hu Yizhou Sun Jason Cong 28 1 0 13 Jun 2024
A Unified CPU-GPU Protocol for GNN Training Yi-Chien Lin Gangda Deng Viktor Prasanna GNN 3DH 34 2 0 25 Mar 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor Yi-Chien Lin Yuyang Chen Sameh Gobriel Nilesh Jain Gopi Krishna Jha Viktor Prasanna GNN 29 3 0 06 Feb 2024
Hierarchical Source-to-Post-Route QoR Prediction in High-Level Synthesis with GNNs Mingzhe Gao Jieru Zhao Zhe Lin Minyi Guo 14 4 0 14 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
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 32 7 0 01 Mar 2023
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis Zhigang Wei Aman Arora Ruihao Li L. John 17 6 0 17 Feb 2023
Graph Neural Networks: A Powerful and Versatile Tool for Advancing Design, Reliability, and Security of ICs Lilas Alrahis J. Knechtel Ozgur Sinanoglu GNN AI4CE 46 22 0 29 Nov 2022
TAG: Learning Circuit Spatial Embedding From Layouts Keren Zhu Hao Chen Walker J. Turner George Kokai Po-Hsuan Wei David Z. Pan Haoxing Ren 23 13 0 07 Sep 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 29 29 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 20 12 0 19 Apr 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models Nan Wu Jiwon Lee Yuan Xie Cong Hao 30 18 0 20 Jan 2022
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation Nan Wu Huake He Yuan Xie Pan Li Cong Hao GNN 14 3 0 13 Sep 2021