172 citations · 275 across the 16 of their papers we have counts for
5 papers · 1 filter
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
Zhuomin Chai, Yuxiang Zhao, Yibo Lin +3
The electronic design automation (EDA) community has been actively exploring machine learning (ML) for very large-scale integrated computer-aided design (VLSI CAD). Many studies ex…
LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction
Bowen Wang, Guibao Shen, Dong Li +7
Precise congestion prediction from a placement solution plays a crucial role in circuit placement. This work proposes the lattice hypergraph (LH-graph), a novel graph formulation f…
Concurrent CPU-GPU Task Programming using Modern C++
Tsung-Wei Huang, Yibo Lin
In this paper, we introduce Heteroflow, a new C++ library to help developers quickly write parallel CPU-GPU programs using task dependency graphs. Heteroflow leverages the power of…
Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview
Junchi Yan, Xianglong Lyu, Ruoyu Cheng +1
Placement and routing are two indispensable and challenging (NP-hard) tasks in modern chip design flows. Compared with traditional solvers using heuristics or expert-well-designed…
Pipeflow: An Efficient Task-Parallel Pipeline Programming Framework using Modern C++
Cheng-Hsiang Chiu, Tsung-Wei Huang, Zizheng Guo +1
Pipeline is a fundamental parallel programming pattern. Mainstream pipeline programming frameworks count on data abstractions to perform pipeline scheduling. This design is conveni…