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LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid
  Graph Models

LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models

20 January 2022
Nan Wu
Jiwon Lee
Yuan Xie
Cong Hao
ArXivPDFHTML

Papers citing "LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models"

7 / 7 papers shown
Title
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
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
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
Raika Karimi
Faezeh Faez
Yingxue Zhang
Xing Li
Lei Chen
M. Yuan
Mahdi Biparva
54
0
0
16 Sep 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
Faezeh Faez
Raika Karimi
Yingxue Zhang
Xing Li
Lei Chen
M. Yuan
Mahdi Biparva
35
2
0
09 Sep 2024
ShortCircuit: AlphaZero-Driven Circuit Design
ShortCircuit: AlphaZero-Driven Circuit Design
Dimitrios Tsaras
Antoine Grosnit
Lei Chen
Zhiyao Xie
Haitham Bou-Ammar
M. Yuan
50
1
0
19 Aug 2024
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL
  Designs
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
Graph Neural Networks: A Powerful and Versatile Tool for Advancing
  Design, Reliability, and Security of ICs
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
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Abdelrahman I. Hosny
S. Hashemi
M. Shalan
Sherief Reda
61
109
0
11 Nov 2019
1