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OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated
  Circuit Synthesis

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

21 October 2021
A. B. Chowdhury
Benjamin Tan
Ramesh Karri
S. Garg
ArXivPDFHTML

Papers citing "OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis"

10 / 10 papers shown
Title
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model
Haiyan Qin
Zhiwei Xie
Jingjing Li
Liangchen Li
Xiaotong Feng
J. Liu
Wang Kang
OffRL
LRM
127
0
0
20 Apr 2025
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
Reza Moravej
Saurabh Bodhe
Zhanguang Zhang
Didier Chetelat
Dimitrios Tsaras
Yingxue Zhang
Hui-Ling Zhen
Jianye Hao
M. Yuan
55
1
0
17 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng
Shan Huang
Jianyuan Zhong
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
89
2
0
02 Feb 2025
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
38
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
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High
  Level Synthesis
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
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
26
3
0
05 Apr 2022
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
DRiLLS: Deep Reinforcement Learning for Logic Synthesis
Abdelrahman I. Hosny
S. Hashemi
M. Shalan
Sherief Reda
59
109
0
11 Nov 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
1