most citedLHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction

8 citations · 14 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG20228 cited

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…

cs.DC2022

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…

cs.LG20226 cited

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…

cs.DC2022

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…

cs.LG2018

Towards a Theoretical Understanding of Hashing-Based Neural Nets

Yibo Lin, Zhao Song, Lin F. Yang

Parameter reduction has been an important topic in deep learning due to the ever-increasing size of deep neural network models and the need to train and run them on resource limite…

cs.OH2018

OpenMPL: An Open Source Layout Decomposer

Wei Li, Yuzhe Ma, Qi Sun +4

Multiple patterning lithography has been widely adopted in advanced technology nodes of VLSI manufacturing. As a key step in the design flow, multiple patterning layout decompositi…