61 citations · 160 across the 10 of their papers we have counts for
10 papers
Semi-Supervised Laplace Learning on Stiefel Manifolds
Chester Holtz, Pengwen Chen, Alexander Cloninger +2
Motivated by the need to address the degeneracy of canonical Laplace learning algorithms in low label rates, we propose to reformulate graph-based semi-supervised learning as a non…
An Updated Assessment of Reinforcement Learning for Macro Placement
Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu +2
We provide an improved assessment of Google Brain's deep reinforcement learning approach to macro placement and its updated Circuit Training (CT) implementation in GitHub. A strong…
Net Separation-Oriented Printed Circuit Board Placement via Margin Maximization
Chung-Kuan Cheng, Chia-Tung Ho, Chester Holtz
Packaging has become a crucial process due to the paradigm shift of More than Moore. Addressing manufacturing and yield issues is a significant challenge for modern layout algorith…
Arnoldi algorithms with structured orthogonalization
Pengwen Chen, Chung-Kuan Cheng, Xinyuan Wang
We study a stability preserved Arnoldi algorithm for matrix exponential in the time domain simulation of large-scale power delivery networks (PDN), which are formulated as semi-exp…
ePlace-3D: Electrostatics based Placement for 3D-ICs
Jingwei Lu, Hao Zhuang, Ilgweon Kang +2
We propose a flat, analytic, mixed-size placement algorithm ePlace-3D for three-dimension integrated circuits (3D-ICs) using nonlinear optimization. Our contributions are (1) elect…
MATEX: A Distributed Framework for Transient Simulation of Power Distribution Networks
Hao Zhuang, Shih-Hung Weng, Jeng-Hau Lin +1
We proposed MATEX, a distributed framework for transient simulation of power distribution networks (PDNs). MATEX utilizes matrix exponential kernel with Krylov subspace approximati…
An Algorithmic Framework for Efficient Large-Scale Circuit Simulation Using Exponential Integrators
Hao Zhuang, Wenjian Yu, Ilgweon Kang +2
We propose an efficient algorithmic framework for time domain circuit simulation using exponential integrator. This work addresses several critical issues exposed by previous matri…
Simulation Algorithms with Exponential Integration for Time-Domain Analysis of Large-Scale Power Delivery Networks
Hao Zhuang, Wenjian Yu, Shih-Hung Weng +5
We design an algorithmic framework using matrix exponentials for time-domain simulation of power delivery network (PDN). Our framework can reuse factorized matrices to simulate the…
FFTPL: An Analytic Placement Algorithm Using Fast Fourier Transform for Density Equalization
Jingwei Lu, Pengwen Chen, Chin-Chih Chang +4
We propose a flat nonlinear placement algorithm FFTPL using fast Fourier transform for density equalization. The placement instance is modeled as an electrostatic system with the a…
Power Grid Simulation using Matrix Exponential Method with Rational Krylov Subspaces
Hao Zhuang, Shih-Hung Weng, Chung-Kuan Cheng
One well adopted power grid simulation methodology is to factorize matrix once and perform only backward forward substitution with a deliberately chosen step size along the simulat…