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Developing Synthesis Flows Without Human Knowledge

Developing Synthesis Flows Without Human Knowledge

16 April 2018
Cunxi Yu
Houping Xiao
G. Micheli
ArXivPDFHTML

Papers citing "Developing Synthesis Flows Without Human Knowledge"

11 / 11 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
50
1
0
09 Oct 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
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic
  Learning and Search
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search
A. B. Chowdhury
Marco Romanelli
Benjamin Tan
Ramesh Karri
S. Garg
18
2
0
22 May 2023
The prediction of the quality of results in Logic Synthesis using
  Transformer and Graph Neural Networks
The prediction of the quality of results in Logic Synthesis using Transformer and Graph Neural Networks
Chenghao Yang
Zhongda Wang
Yinshui Xia
Zhufei Chu
18
0
0
23 Jul 2022
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis
A. B. Chowdhury
Benjamin Tan
Ryan Carey
Tushit Jain
Ramesh Karri
S. Garg
36
3
0
05 Apr 2022
The Dark Side: Security Concerns in Machine Learning for EDA
The Dark Side: Security Concerns in Machine Learning for EDA
Zhiyao Xie
Jingyu Pan
Chen-Chia Chang
Yiran Chen
16
4
0
20 Mar 2022
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid
  Graph Models
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
BOiLS: Bayesian Optimisation for Logic Synthesis
BOiLS: Bayesian Optimisation for Logic Synthesis
Antoine Grosnit
C. Malherbe
Rasul Tutunov
Xingchen Wan
Jun Wang
H. Ammar
19
30
0
11 Nov 2021
A Survey of Machine Learning for Computer Architecture and Systems
A Survey of Machine Learning for Computer Architecture and Systems
Nan Wu
Yuan Xie
AI4TS
AI4CE
20
145
0
16 Feb 2021
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
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case
  Study on CNN-Based Lithographic Hotspot Detection
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
Kang Liu
Haoyu Yang
Yuzhe Ma
Benjamin Tan
Bei Yu
Evangeline F. Y. Young
Ramesh Karri
S. Garg
AAML
20
10
0
25 Jun 2019
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